Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, we unpack our editorial "Law School, Laptops and AI: Why Banning Computers Misses the Point," and explore why laptop bans in law schools are less about ethics and more about administrative convenience — and how that choice could leave future lawyers unprepared for a fully digital profession.

In our conversation, we cover the following

00:00:00 — From "no calculators" to "no laptops": how old tech panics mirror today's AI fears in legal education 📚🧮

00:01:00 — AI panic hits law schools: blanket bans on generative AI and even laptops in the classroom 🎓⚠️

00:02:00 — Why Michael supports limiting AI in 1L while still opposing laptop bans: building foundational legal judgment 💪⚖️

00:03:00 — ABA Model Rule 1.1 and competence: why early overreliance on AI short-circuits "intellectual muscle" 🧠

00:05:00 — Why banning laptops "misses the point": the scalpel vs leeches analogy and modern legal training 🩺🖥️

00:06:00 — Accessibility and fairness: Michael's 2002 law school story and laptops as essential accessibility tools ✍️💻

00:07:00 — Digital-native students and analog exams: how bans unfairly shift the playing field instead of leveling it 🎯

00:08:00 — Law practice is 100% digital: e‑discovery, e‑filing, and why stripping laptops undermines tech competence 🌐📑

00:08:30 — ABA Model Rule 1.1, Comment 8: the ethical duty to understand the benefits and risks of relevant technology 📘

00:09:30 — Lazy enforcement: why laptop bans are about visual policing, not thoughtful AI policy 🧍‍♂️👀

00:10:00 — ABA Model Rule 5.3: supervising AI as a "digital clerk" and why hiding the tech creates ethical gaps 🤖📎

00:11:30 — Guardrails, not prohibitions: network geofencing, offline laptops, and locked‑down software environments 🧱📶

00:12:30 — Clear AI policies in assignments: when AI is permitted, when it is prohibited, and how disclosure builds discipline 📝

00:13:00 — Teaching prompt engineering as a core legal skill: delegation, context, and structured AI use 🧩

00:13:30 — ABA Model Rule 1.6 and confidentiality: the risks of pasting client secrets into public AI tools 🔐

00:14:30 — Cognitive offloading vs cognitive atrophy: why tech can strengthen legal reasoning when used wisely 🧠⚙️

00:16:00 — Verifying AI outputs: hallucinations, fake cases, and training students to check everything against primary law 📚

00:17:00 — Temptation vs discipline: why bans don't teach judgment, but supervised AI use can 🎯

00:18:00 — The false dichotomy: foundational human judgment vs tech competence and why future lawyers must have both ⚖️💡

00:19:00 — The future horizon: when AI becomes the "senior partner" and the lawyer becomes the supervisor‑in‑chief 🧑‍⚖️🤖

00:20:00 — Final challenge: law schools can't ban their way out of the future — they have to teach students to wield the tools safely 🔍🚀

RESOURCES

Mentioned in the episode

• ABA Model Rule 1.1 (Competence) — https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_1_competence/
• ABA Model Rule 1.6 (Confidentiality of Information) — https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_6_confidentiality_of_information/
• ABA Model Rule 5.3 (Responsibilities Regarding Nonlawyer Assistance) — https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_5_3_responsibilities_regarding_nonlawyer_assistance/

Software & Cloud Services mentioned in the conversation

• ChatGPT and generative AI tools (public models) — https://openai.com/chatgpt

If you care about the future of legal education, client protection, and real‑world tech competence, hit play now and then share this episode with a colleague who still thinks "just ban the laptops" is a solution. 🎧💬

In this special The Tech-Savvy Lawyer.Page Podcast episode, I join Chuck Joiner on MacVoices' "Road to MacStock X" to preview my presentation, "Podcasting with Apple: From Idea to Launch Using the Gear You Already Own," and to show legal professionals how to design, launch, and improve a podcast using Apple devices and workflows they already have. 🎧

Questions

Join Chuck and me as we discuss the following questions and more!

· How can lawyers and new podcasters launch a professional‑quality show using only their existing Apple hardware and built‑in macOS and iPadOS tools?

· What practical, Apple‑centric workflow—from idea generation to recording, editing, distribution, and guest management—underpins "Podcasting with Apple: From Idea to Launch Using the Gear You Already Own"?

· How should legal podcasters think about ethics, defamation, and cross‑border risks when discussing law, politics, or controversial topics?

· In what ways does podcasting improve a lawyer's visibility and "generative engine optimization," making them more discoverable to clients and AI systems?

· How do hardware and software choices evolve from Mac laptop and earbuds to 4K cameras, better mics, Ecamm, and AI‑assisted editing?

Timestamps

In our conversation, we cover the following

· 00:00:00 – Michael joins Chuck to talk MacStock X and preview "Podcasting with Apple: From Idea to Launch Using the Gear You Already Own."

· 00:01:00 – Overview of The Lawyer's Guide to Podcasting: idea generation, recording, inviting guests, editing, distribution, and a dedicated ethics chapter for lawyers.

· 00:02:00 – Why Apple users already have enough equipment to start a podcast; framing MacStock X as a hands‑on walkthrough using Macs, iPads, and built‑in software.

· 00:02:30 – What attendees should bring to MacStock X: themselves, their Apple devices, and why editing is easier on a Mac laptop than on an iPad.

· 00:02:45 – Early iPad‑based editing with Apple Pencil, manually trimming ums, ahs, gaps, and retakes, and how that led to more automated workflows.

· 00:03:00 – Moving to more efficient editing tools that automatically flag issues while still requiring human review; AI as a powerful tool, not a final answer. 🤖

· 00:03:30 – Why new podcasters—especially lawyers—must review AI output to avoid errors and ethical problems.

· 00:04:00 – The importance of starting: accepting that early episodes won't equal mature work, and why improvement comes through practice.

· 00:05:00 – Low‑cost and no‑cost approaches, doing tasks manually first, and then delegating or using AI to reclaim time and focus on higher‑value work.

· 00:06:00 – Treating podcasting as a learning adventure: exploring Apple tools, enjoying subject matter, and embracing continuous technical and editorial improvement.

· 00:07:00 – Hardware evolution: from Mac laptop and earbuds to an Osbot 4K camera and Shure MV7 mic, plus travel‑friendly setups.

· 00:08:00 – Post‑COVID boom in content creation and how hardware and software now target "content creators," including legal podcasters.

· 00:09:00 – Audience size versus enjoyment: why a niche audience can be enough when the creator values the conversations and the impact.

· 00:10:00 – How podcasting enhances "generative engine optimization" by creating high‑quality, indexable content about your expertise.

· 00:11:00 – The Tech-Savvy Lawyer.Page Podcast: focusing on how lawyers, judges, and others use technology to improve services, enhance products, and recapture time. ⚖️💻

· 00:12:00 – Tech stack evolution: from a Blue Yeti travel mic to the Shure MV7, emphasizing incremental upgrades rather than big upfront spending.

· 00:12:30 – Ethics and defamation fundamentals: avoiding slander, false statements, and understanding that truth is a crucial defense.

· 00:13:00 – Cross‑border implications: podcasts crossing state and international lines and why deeper legal topics warrant caution and advice from counsel.

· 00:14:00 – Political speech, emotion, and the need to "be the adult in the room" to avoid escalating into litigation.

· 00:15:00 – Differences in lawyer ethics and advertising rules across states; ABA model rules and local nuances.

· 00:15:30 – Recommendation to review Gordon Firemark's content‑creation law resources for podcasters.

· 00:16:00 – Disclaimers: no legal advice, no attorney‑client relationship, and why these are essential in legal‑tech podcasting.

· 00:17:00 – MacStock X discount codes: TECHSAVVYLAWYER and MACVOICES for $50 off registration, plus in‑person $5 discount on The Lawyer's Guide to Podcasting.

· 00:18:00 – Ecamm's all‑day MacStock X session: from basics to advanced, positioning Ecamm as a virtual TV studio for audio and video podcasting.

· 00:19:00 – Ecamm's limited‑seat format, Creator Camp in Birmingham, and using Ecamm to record this conversation.

· 00:20:00 – Invitation to attend MacStock X in Crystal Lake, join the community, and learn alongside other Apple‑focused creators.

· 00:21:00 – Where to find Michael: TheTechSavvyLawyer.Page, The Tech-Savvy Lawyer.Page Podcast, and The Lawyer's Guide to Podcasting on Amazon.

Resources

· Connect with Chuck

o Contact Page: https://macvoices.com/contact/

o LinkedIn: https://www.linkedin.com/in/chuckjoiner/

o MacVoices - https://macvoices.com/

· Mentioned in the episode

o American Bar Association Model Rules of Professional Conduct - https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/model_rules_of_professional_conduct_table_of_contents/?login

o Book: The Lawyer's Guide to Podcasting – https://www.amazon.com/Lawyers-Guide-Podcasting-Tech-Savvy-Lawyer-Pages/dp/B0GGX32DZH/ref=sr_1_1?crid=3VOS3UEZNSIMB&dib=eyJ2IjoiMSJ9.AGEuOQwftq-s5O0PqDNjd3zedjDpqdT9pTmLUNktKoMgLL8i6DXC1FKO_L3eWhhLwfONlBZ780wTm15KELZNjUM6wU27377u7SJZ-1k7ZWnkrVmcdTShPkVcjSqMoj79EbRD9I8UP_DzX-X8E2UJ0VP9UqMZoJIwCF4WRIm15wWn32iPZ0kY50a4Lj-BYk1uuaOE5sT8ShPKV7ZgE4JxabTE_b5ppI3AUNhh64nRU6Q.EZF7hiJiOUHarYUE255hezBGcNbXjZz_wrt6eC-z9gg&dib_tag=se&keywords=The+lawyers+guide+to+podcasting&qid=1784764741&sprefix=the+lawyers+guide+to+podcasting%2Caps%2C109&sr=8-1

o GEO – "generative engine optimization" - https://www.thetechsavvylawyer.page/blog/2026/3/26/-word-of-the-week-geo-generative-engine-optimization?rq=GEO

o Gordon Firemark - https://www.thetechsavvylawyer.page/search?q=Firemark

o MacStock X Conference & Expo, Crystal Lake, Illinois - https://macstockconferenceandexpo.com/

· Hardware mentioned in the conversation

o Apple Pencil - www.apple.com/apple-pencil/

o Apple Products - www.Apple.com

o Blue Yeti microphone - https://www.logitechg.com/en-us/shop/p/yeti-premium-usb-microphone

o iPad - https: - www.apple.com/ipad/

o Osbot 4K camera - https://www.obsbot.com/obsbot-meet-2-4k-webcam

o Shure MV7i microphone - https://www.shure.com/en-US/products/microphones/mv7i?variant=MV7i

· Software & Cloud Services mentioned in the conversation

o Ecamm (Mac‑based live production and recording software) - www.ecamm.com

My next guests are Gabriela "Gabby" Cubeiro, Senior Vice President of Product at 8am — the legal tech company behind MyCase, LawPay, CASEpeer, and DocketWise — and Majo Castro, founder and managing attorney at CastroMand Legal in Austin, Texas. 🌟 Gabby brings over 16 years of legal tech experience, including co-founding CASEpeer, and today leads product strategy for one of the most widely used law practice management ecosystems in the country. Majo is a Venezuelan-born cybersecurity and AI attorney whose firm helps growing companies navigate AI implementation, data management, and cybersecurity — and she's also the voice behind The Cyber Law Gal on Substack. 🔐 Together, they deliver a frank, peer-level conversation about building a tech stack that's both AI-ready and genuinely secure — without the hype and without the hand-holding.

Join Gabriela "Gabby" Cubeiro, Majo Castro, and me as we discuss the following three questions and more!

1. What are the top three integrations or workflows a solo, small, or midsize firm should expect from a modern cloud-based LPM platform like 8am — and what's missing that signals a real red flag around efficiency, cash flow, or security?
2. As AI gets baked into cloud LPM tools like 8am, what are the top three day-to-day tasks that will change most for solo and small firm lawyers — and what basic security or ethical guardrails should they put in place to use those AI features without putting client data at risk?
3. For solo and small firms without a CISO or CTO, what are the top three cybersecurity mistakes you see over and over again?

In our conversation, we cover the following:

• [00:00:00] 🪝 Show Hook — Gabby's critical warning: if your firm hasn't "adopted" AI, your employees probably already have — on free consumer tools
• [00:00:00] Title read — Episode 139
• [00:01:00] Host intro: why this conversation goes tactical on AI, security, and LPM workflows
• [00:02:00] Guest introductions — Gabriela "Gabby" Cubeiro (8am/MyCase) and Majo Castro (CastroMand Legal / The Cyber Law Gal)
• [00:03:00] Majo celebrates 1.5 years as a solo practitioner 🎉
• [00:03:00] Ad: Five-star review request for The Tech-Savvy Lawyer.Page
• [00:03:30] Tech setups — Gabby's MacBook Air (M4 chip), iPhone Max, Slack, Zoom, Google Drive, Claude Enterprise
• [00:06:00] Gabby's portable USB-C external monitor for travel (Amazon, highest-rated)
• [00:09:00] Majo's MacBook Pro 14" M4 (16GB RAM), performance issues, upgrade path discussion
• [00:10:00] Michael recommends Onyx (free Mac maintenance utility); Michael's Mac Studio M3 Ultra with 256GB
• [00:11:00] Mac Mini and Mac Studio as desktop alternatives; MacRumors Buyer's Guide tip
• [00:13:00] Apple Business Account benefits — small discounts + white-glove service
• [00:15:00] Majo's full setup: iPhone 16 Pro Max, Google Workspace + Gemini (team account with DPA), DJI Osmo Pocket 3, Hollyland wireless mic
• [00:16:00] Q1: Top three LPM workflows — intake, secure client communication (client portal), and getting paid (trust accounting + automated invoicing)
• [00:19:00] Majo on switching from QuickBooks to MyCase after discovering QuickBooks mishandles trust accounting
• [00:20:00] 🎉 Gabby announces: AI case summary features are now LIVE in 8am/MyCase
• [00:21:00] Cloud vs. local access debate — SaaS uptime, SLAs, and asking vendors for proof
• [00:23:00] Michael's redundant backup strategy: Backblaze + Dropbox + local Mac Mini
• [00:25:00] Cautionary tale: ransomware attack converts a server-based firm to the cloud overnight
• [00:28:00] Majo's Google Drive third-party backup with 2-hour recovery window
• [00:29:00] Q2: How AI changes daily workflows — drafting, case summaries, surfacing critical info fast
• [00:30:00] Why reading vendor Terms of Service and activating Data Processing Agreements (DPAs) is non-negotiable
• [00:31:00] 8am's SOC 2 Type 2 compliance; updated AI terms and opt-in controls coming
• [00:32:00] SOC 2, HIPAA, end-to-end encryption as baseline vendor security requirements
• [00:34:00] AI as the great equalizer — leveling the playing field for solo firms vs. BigLaw
• [00:35:00] Majo's real data: ~12 hours saved last month across 27 consultations using Gemini for proposals
• [00:36:00] Plaud and Pocket AI recording devices — data retention, PII, and DPA concerns
• [00:37:00] Majo's stance on wearable AI recorders; Apple Watch comparison; one-party vs. two-party consent
• [00:39:00] Plaud's terms say no AI training — but it's not a DPA; terms can change without notice 🚨
• [00:40:00] Google Workspace DPA must be manually activated — most users don't know; creating user friction around protection
• [00:41:00] Q3: Top cybersecurity mistakes — shadow AI, no MFA, undertrained employees
• [00:42:00] Majo's checklist: DPA + no model training on client data + enterprise/team-tier subscriptions + MFA
• [00:43:00] Gabby: employees are the #1 security risk; fractional IT and CISO options for small firms
• [00:44:00] AI-powered phishing attacks on law firms will only intensify
• [00:45:00] Majo's training method: positive AI policies + 45-second staff video explainers 🎬
• [00:46:00] 🚨 Gabby's shadow AI reminder (Show Hook 🪝 callback): audit your tech stack — your team already has
• [00:47:00] Episode originally recorded at ABA Techshow; re-recorded after a technical snafu 😅
• [00:47:00] Where to find Gabby: LinkedIn, X, 8am.com, Kaleidoscope conference (September — banner at 8am.com)
• [00:48:00] Where to find Majo: LinkedIn (Majo Castro), CastroMand Legal, Substack: The Cyber Law Gal
• [00:48:30] Outro — [email protected] | next episode in ~two weeks

Resources

Connect with Gabriela "Gabby" Cubeiro

• LinkedIn: https://www.linkedin.com/in/gabriela-cubeiro/

Connect with Majo Castro

• CastroMand Legal (Austin, TX): https://www.castrolandlegal.com/
• The Cyber Law Gal Substack: https://www.linkedin.com/in/majocastro/
• LinkedIn: https://www.linkedin.com/in/majocastro/

Mentioned in the Episode

• ABA Techshow — https://www.techshow.com/
• Apple Business Account — https://www.apple.com/business/
• Apple Trade-In Program — https://www.apple.com/shop/trade-in
• Model Rules 1.1, Comment 8 — https://www.thetechsavvylawyer.page/search?q=comment%208
• MacRumors Buyer's Guide — https://buyersguide.macrumors.com

Hardware Mentioned

• 8am.com — https://www.8am.com
• Apple iPad — https://www.apple.com/ipad/
• Apple iPhone 16 Pro Max — https://www.apple.com/iphone-16-pro/
• Apple iPhone Max — https://www.apple.com/iphone/
• Apple Mac Mini — https://www.apple.com/mac-mini/
• Apple Mac Studio — https://www.apple.com/mac-studio/
• Apple MacBook Air — https://www.apple.com/macbook-air/
• Apple MacBook Pro 14 — https://www.apple.com/macbook-pro/
• Apple Watch — https://www.apple.com/apple-watch/
• Backblaze — https://www.backblaze.com
• CASEpeer — https://www.casepeer.com
• ChatGPT (OpenAI, Enterprise referenced) — https://chat.openai.com
• Claude (Anthropic, Enterprise) — https://www.anthropic.com/claude
• DJI Osmo Pocket 3 — https://www.dji.com/osmo-pocket-3
• DocketWise — https://www.docketwise.com
• Dropbox — https://www.dropbox.com
• Google Drive — https://drive.google.com
• Google Workspace + Gemini — https://workspace.google.com
• Hollyland wireless mic — https://www.hollyland-tech.com
• LawPay — https://www.lawpay.com
• MyCase — https://www.mycase.com
• Onyx (free, Mac) — https://www.titanium-software.fr/en/onyx.html
• Plaud AI recorder — https://www.plaud.ai
• Pocket AI recorder — https://heypocket.com/pages/
• QuickBooks (referenced as insufficient for trust accounting) — https://www.quickbooks.intuit.com
• Slack — https://www.slack.com
• Zoom — https://www.zoom.us

Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, host Michael D.J. Eisenberg breaks down Google Quick Share's new cross-platform capability — the feature that finally lets Android and Apple devices share files directly, peer-to-peer, without routing data through third-party servers. And yes, we cover every ABA rule you need to know before you touch that share button.

In our conversation, we cover the following

· [00:00] 📖 The problem: Why Android-to-iPhone file transfers have been a frustrating workflow bottleneck for law firms — and how Google Quick Share's latest update changes everything

· [01:00] 🗺️ Road map overview — the six sections of today's explainer: The Tech Bridge, Step-by-Step Workflows, Real-World Law Practice scenarios, ABA Rules & Compliance, Practical Security Settings, and the Firm Roll-Out Checklist

· [01:30] 🌉 Section 1 — The Tech Bridge: How Quick Share's peer-to-peer architecture works and why files never touch Google or Apple servers — a critical distinction for client data privacy

· [02:00] 📱 Compatible hardware: Samsung Galaxy S and Z series, Google Pixel 8, 9, and 10, Vivo devices, and iPhones running the latest AirDrop enhancements

· [02:30] 🔄 Section 2 — Step-by-Step Workflows: Sending from Android to iPhone in four steps — open the item, tap Share, select Quick Share, tap the iPhone's name; recipient taps Accept

· [03:00] ↔️ Reversing the transfer — sending from iPhone to Android using AirDrop's new interoperability, where the Android device appears as a viable AirDrop target

· [03:30] ⚖️ Section 3 — Real-World Law Practice: Actionable scenarios including beaming a signed retainer agreement from an Android phone to an iPhone-toting intake coordinator, and cross-platform trial prep for last-minute demonstratives

· [04:00] 📋 Sharing documents directly to a client's phone in a meeting — regardless of operating system

· [04:15] 🔍 Section 4 — ABA Rules & Compliance: ABA Model Rule 1.1 (Competence) — why not understanding Quick Share's privacy and visibility settings is an ethical violation, not just a tech oversight

· [04:45] 🔐 ABA Model Rule 1.6 (Confidentiality) — why you must double-check the recipient device name before hitting send, and when peer-to-peer sharing is not appropriate for your most sensitive materials

· [05:30] 👥 ABA Model Rule 5.3 (Supervision) — why you carry ultimate responsibility for how your staff uses mobile sharing tools, and the written BYOD policy you must have in place

· [06:00] 🛡️ Section 5 — Practical Security Settings (Android): Three non-negotiable settings: change Quick Share visibility to Contacts Only or Hidden; require device unlock to accept transfers; immediately move received client files into your secure document management app

· [06:30] 🍎 Practical Security Settings (iPhone): Set AirDrop to Contacts Only as your baseline default; if you temporarily open to Everyone, switch it back immediately; train staff to decline all unexpected AirDrop requests

· [07:00] 📋 Section 6 — Firm Roll-Out Checklist: Five-step tactical deployment plan: (1) inventory devices, (2) force OS updates firmwide, (3) mandate default privacy settings, (4) hold a 30-minute staff training session, (5) define in writing which file types may and may not be shared via Quick Share

· [08:00] 💡 Closing challenge: The technology to bridge Android and Apple is already in your pocket — the only barrier left is implementation. How will you lead the charge to modernize your firm's cross-platform collaboration without sacrificing your ethical shield?

RESOURCES

Mentioned in the episode

· ABA Model Rule 1.1 — Competence: https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_1_competence/

· ABA Model Rule 1.6 — Confidentiality of Information: https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_6_confidentiality_of_information/

· ABA Model Rule 5.3 — Responsibilities Regarding Nonlawyer Assistance: https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_5_3_responsibilities_regarding_nonlawyer_assistance/

Hardware mentioned in the conversation

· Samsung Galaxy S Series: https://www.samsung.com/us/smartphones/galaxy-s/

· Samsung Galaxy Z Series (foldables): https://www.samsung.com/us/smartphones/galaxy-z/

· Google Pixel 8: https://store.google.com/us/category/phones

· Google Pixel 9: https://store.google.com/us/category/phones

· Google Pixel 10 (Pixel 1000 series): https://store.google.com/us/category/phones

· Vivo Android Devices: https://www.vivo.com/en/

· Apple iPhone (AirDrop-compatible, latest iOS): https://www.apple.com/iphone/

Software & Cloud Services mentioned in the conversation

· Google Quick Share (Android): https://android.com/better-together/quick-share-app/

· Apple AirDrop: https://support.apple.com/en-us/102497

⚠️ Disclaimer: This episode is strictly educational and does not constitute legal advice. Laws, rules, and technology features change frequently. Always verify your state, local, and jurisdictional rules before implementing any new workflows in your firm.

🎙️ Enjoyed this episode? Subscribe to The Tech-Savvy Lawyer wherever you get your podcasts, leave us a five-star review, and share this episode with a colleague who's still emailing files to themselves. Your ethical upgrade starts today.

My next guest is Jimmie Bridwell, an executive with US Legal Support, a nationwide litigation support company headquartered in Houston, Texas that provides remote deposition solutions, transcription services, record retrieval, trial technology, and graphics generation for law firms of all sizes. In this episode, we unpack how US Legal Support's technology platform integrates with law firm systems, why security and data management are non‑negotiable, and how AI‑assisted transcript and deposition tools are reshaping trial preparation and remote proceedings for modern litigators.📜🤖

Join Jimmie Bridwell and me as we discuss the following three questions and more!

• What are the top three ways lawyers should expect companies like US Legal Support's technology platforms — whether remote deposition solutions, transcription services, or document management — to integrate seamlessly into a law firm's existing tech stack to eliminate duplicative data entry and streamline trial preparation?
• What are the top three technology investments or skillsets that lawyers consistently overlook, but would dramatically improve their practice efficiency and client services in 2026?
• Based on US Legal Support's experience facilitating over 245,000 remote events annually, what are the top three technology mistakes you see lawyers making during remote depositions or virtual proceedings, and how can they course correct to deliver more efficient client representation?

In our conversation, we cover the following

• [00:00:00] Jimmie's current tech setup: Surface Pro laptop, 47‑inch curved Samsung monitor, HyperCast standalone microphone, and Logitech Brio camera in a Microsoft‑based office using Microsoft Cloud.📺🖥️
• [00:00:45] Working with both Android and Apple smartphones, and why Jimmie uses Apple for work due to perceived security and litigation hold considerations.
• [00:01:20] How US Legal Support deploys Apple computers in graphics studios while running a primarily Microsoft infrastructure and cloud environment across the enterprise.
• [00:02:00] Question 1 introduction: how US Legal Support's platforms should integrate into law firm tech stacks to reduce duplicate data entry and streamline trial workflows.
• [00:02:15] Why integration, security, and data management are the three primary pillars when transmitting client information between firms and service providers.
• [00:03:00] The risks of multiple data entry points and why centralized, consistent first input across the litigation lifecycle is critical.
• [00:03:40] US Legal Support's security posture: internal SOC 2 Type 2 validation, HIPAA compliance, NIST protocols, and reliance on Microsoft and Amazon cloud with SOC 2 Type 2 security.
• [00:04:40] Practical security questions solo and small firm attorneys should ask vendors about encryption at rest and in transit, security reviews, and penetration testing.
• [00:06:00] Data breach reporting expectations and the need for a published, timely breach notification process for clients.
• [00:07:30] Data management concerns: how vendors use client data, prohibitions on reselling data, and the importance of 24/7 self‑service access to discovery materials and litigation documents.
• [00:08:30] Integration realities: standard and customized APIs, multipoint‑to‑endpoint data flows, and why experience with case management integrations matters.
• [00:11:00] Question 2 introduction: the top three overlooked technology investments and skillsets that could dramatically improve practice efficiency and client service in 2026.
• [00:11:15] AI‑assisted transcript review: summarizing long depositions, key‑noting, keywording, and surfacing strategic themes to accelerate trial preparation.
• [00:12:20] Validating AI outputs, the attorney's continuing liability, and why AI‑assisted transcript review pulls from the deposition record rather than external sources, reducing hallucination risk.
• [00:14:10] AI‑assisted deposition preparation tool: ingesting exhibits, medical records, and discovery into a secure portal, generating case outlines, identifying pre‑existing conditions, and suggesting deposition questions in minutes instead of hours.
• [00:15:40] How Jimmie and Michael compare legacy OCR workflows with modern AI, and why AI no longer depends on rigid templates to extract key data.
• [00:17:00] The importance of partnering with holistic solution providers who can address multiple points of the litigation lifecycle rather than just one narrow problem.
• [00:18:00] How the market has evolved from mom‑and‑pop shops with limited tech budgets to larger litigation support organizations that invest heavily in technology and continuous development.
• [00:19:10] The tension between long‑term SaaS contracts and rapidly evolving legal tech, and why Jimmie favors transactional, "pay as you use it" BPaaS models over long subscriptions.
• [00:22:00] Question 3 introduction: common technology mistakes lawyers make during remote depositions and virtual proceedings.
• [00:22:10] Why general meeting tools like Zoom, while excellent for meetings, are not purpose‑built for litigation or depositions, especially around exhibit management and real‑time annotation.
• [00:24:00] Examples of litigation‑specific functionality: exhibit introduction and management, date stamping, maintaining witness spotlight, and integrating exhibits with the deposition record.
• [00:25:00] Evolution of case management systems from generic workflow tools into legal‑specific platforms tuned to particular practice areas.
• [00:26:00] Emerging litigation tools on the horizon, including facial recognition and facial sentiment software for remote proceedings.
• [00:26:40] Remote depositions post‑COVID: the shift from nearly 100% in‑person to roughly 60–70% remote several years later, and how this forced adoption changed attorney attitudes toward technology.
• [00:27:30] Internal adoption challenges inside medium and large firms: inconsistent workflows, underutilized tools, and the cost of allowing each lawyer to work differently.
• [00:29:00] Why law firms should define and enforce consistent processes for using legal tech solutions to drive efficiency, cost‑effectiveness, and better outcomes.
• [00:30:00] Closing: Jimmie's invitation to learn more about US Legal Support's nationwide litigation support services and where listeners can find him online.

Resources

Connect with Jimmie Bridwell

• US Legal Support website: https://www.uslegalsupport.com

MENTIONED IN THIS EPISODE

Hardware mentioned in the conversation

• Logitech Brio camera - https://www.logitech.com/en-us/products/webcams/brio-4k-hdr-webcam.html
• Surface Pro laptop - https://www.microsoft.com/en-us/surface/devices/surface-pro
• 47‑inch curved Samsung monitor - https://www.samsung.com/us/monitors/all-monitors/

Software & Cloud Services mentioned in the conversation

• Android operating systems and devices - https://www.android.com/
• Apple operating systems and devices - https://www.apple.com/
• Microsoft Cloud and Microsoft Office - https://www.microsoft.com/en-us/microsoft-365/onedrive/online-cloud-storage
• Zoom - http://www.zoom.com/

My next guest is Andrew Zach, Senior Policy Counsel at the Family Online Safety Institute (FOSI), a Washington, DC–based nonprofit focused on making the online world safer for kids and families through policy, research, digital parenting resources, and industry best practices. Andrew and I dive into how lawyers in any practice area—family law, criminal, corporate, or solo—can build family-centered online safety into their tech stack, from law practice management systems and client portals to AI chatbots, social media, and messaging tools. We unpack COPPA and the coming "COPPA 2.0," emerging age assurance laws, parental responsibility online, and what bar associations should prioritize in CLE programming so lawyers can use technology responsibly while supporting parents and caregivers.

Join Andrew and me as we discuss the following three questions and more! ⚖️💻

1. What are the top three practical steps every lawyer should take to bake in family‑centered online safety when designing client‑facing tech, websites, portals, intake forms, messaging, and social media?
2. What are the top three technology tools or configurations law firms should implement to better protect children and teens who may be affected by legal technology, whether they are direct clients in a family matter or simply sharing devices with adult clients?
3. If you were advising bar associations and practice‑area leaders, what would be the top three CLE or policy priorities to ensure lawyers responsibly use AI, client portals, and other digital tools while supporting parents and caregivers in keeping families safe online?

In our conversation, we cover the following ⏱️

• 00:00 – Welcoming Andrew and his current tech setup: MacBook Pro, external monitor, iPhones, and wired Bose headphones 🎧
• 01:00 – What is FOSI and how it works across policy, digital parenting, and industry best practices to keep families safer online 🌐
• 02:00 – COPPA basics: verifiable parental consent for under‑13 data, why COPPA is dated, and the patchwork of state privacy laws filling the federal gap 📜
• 03:00 – California privacy leadership, international regimes (like Europe), and why the US needs a comprehensive data privacy law with limits on collection, use, storage, and sale of personal data 🧩
• 04:00 – HIPAA, SOC 2, agentic AI chatbots on legal websites, and why notice, consent, and data minimization matter for law firms adopting AI‑driven intake and support tools 🤖
• 05:00 – Data minimization as a safeguard when storage or breaches go wrong; retention and disclosure issues in worst‑case scenarios 📂
• 05:30 – Handling sensitive images in legal practice (family photos, abuse evidence) and why state‑by‑state rules make it hard to manage online safety and data privacy consistently 🧾
• 06:00 – Why a stronger federal law is needed, and what COPPA 2.0 (Children and Teens Online Privacy Protection Act) could change, including raising the age of digital consent and protecting teens from targeted advertising 🎯
• 07:00 – Everyday scenarios: sharing kids' photos with family, private messaging vs social media, and why limiting audience and avoiding "questionable" content is critical 👨‍👩‍👧‍👦
• 08:00 – Why "private" Facebook accounts with many friends still are not private enough for potentially risky images and what safer sharing looks like 🔒
• 09:00 – Keeping audiences limited in litigation and family law contexts while complying with legal guidelines for highly sensitive evidence 📁
• 10:00 – Defining age assurance vs age verification, and how tools like facial age estimation, IDs, and self‑declaration fit into online safety compliance 🧑‍💻
• 11:00 – International and US examples: UK social media age checks, Australia's age assurance trials, and Texas cases on adult sites and app‑store‑level verification ⚖️
• 12:00 – Free Speech Coalition v. Paxton upholding age verification for adult sites versus the App Store Accountability Act's broader mandate and why it was enjoined 🏛️
• 13:00 – Financial harm to parents from kids' unsupervised app purchases and concerns about access to "harmful content" through apps and social media 💳
• 14:00 – Is there such a thing as "age insurance"? Exploring liability, coverage, and why Andrew is not aware of a product like that 🧾
• 15:00 – Apple vs Facebook on data tracking: long terms of service, Apple's "Ask App Not to Track" pop‑up, and "arms race" messaging around personalization and privacy 📲
• 16:00 – Communicating data practices clearly to users and kids; age‑appropriate disclosures and the role of legislation in requiring plain‑language privacy notices 🧠
• 17:00 – "Kids' accounts" on platforms like Instagram, retrofitting protections vs safety by design, and what private‑by‑default, constrained communication can look like for teens 🧒
• 18:00 – Culture of responsibility: six entities in online safety (industry, policymakers, law enforcement, educators, kids, and families) and FOSI's free digital parenting resources 📚
• 19:00 – Why expecting parents to customize every app setting is unrealistic and how safety‑by‑design and data‑minimization can reduce that burden 🛠️
• 20:00 – Parental responsibility vs platform responsibility, and how making parental controls easier (e.g., YouTube teen account setup time) can encourage meaningful engagement 👪
• 21:00 – Recent cases in New Mexico and California: addiction, mental health, platform design, and new legal strategies targeting harms beyond specific content 🧑‍⚖️
• 22:00 – The Joe Camel analogy, marketing to kids, and why FOSI avoids equating social media directly with tobacco while still pushing for better design safeguards 🚭
• 23:00 – Features like "take a break" and limits on infinite scroll; designing for vulnerable users and younger audiences from the outset 🧱
• 24:00 – AI chatbots in legal practice: risks of emotional dependence, mental health harms, and why unregulated bots should not replace trained professionals in sensitive contexts 🧩
• 26:00 – How often teens and families are using generative AI, and the emerging theme of stricter rules or disclosures for legal, medical, and financial advice from chatbots 🧮
• 27:00 – Disclaimers and transparency for client‑facing chatbots on law firm sites; state‑by‑state experimentation and potential new duties for lawyers using AI in practice 💬
• 28:00 – The White House's national AI policy framework, its child‑safety focus, and the need for congressional action, preemption questions, and national standards 🇺🇸
• 29:00 – Why bar associations and lawyers should track AI policy developments closely as they intersect with ethics, confidentiality, and family online safety 🔍
• 30:00 – FOSI's "good digital parenting" resources, device agreements, and practical scripts for setting expectations with kids about devices and online behavior 📄
• 31:00 – Where to find Andrew online, including FOSI's website and his "Andrew the Policy Guy" content on LinkedIn and TikTok 📲

RESOURCES

Connect with Andrew 🌐

• Andrew Zach -
• LinkedIn - https://www.linkedin.com/in/andrew-zack-a750b156/
• Family Online Safety Institute (FOSI) – Website: https://www.fosi.org

Mentioned in the episode 📝

• App Store Accountability Act (proposed Texas law for app‑store‑level age verification) – https://www.spencerfane.com/insight/texas-spearheads-the-app-store-accountability-act-preventing-unauthorized-in-app-purchases-b
• COPPA – Children's Online Privacy Protection Act (US federal kids' privacy law) – https://www.ftc.gov/legal-library/browse/rules/childrens-online-privacy-protection-rule-coppa
• COPPA 2.0 – Children and Teens Online Privacy Protection Act proposal – https://www.markey.senate.gov/news/press-releases/senators-markey-and-cassidy-reintroduce-coppa-20-bipartisan-legislation-to-protect-children-online
• Free Speech Coalition v. Paxton (Texas age‑verification case for adult sites) – https://www.oyez.org/cases/2024/23-1122
• HIPAA – Health Insurance Portability and Accountability Act (health privacy) – https://www.cdc.gov/phlp/php/resources/health-insurance-portability-and-accountability-act-of-1996-hipaa.html
• Kids Online Health and Safety Task Force (US government initiative) – https://www.ntia.gov/programs-and-initiatives/kids-online-health-and-safety
• SOC 2 – Service Organization Control 2 (security and privacy reporting framework) – https://www.paloaltonetworks.com/cyberpedia/soc-2
• White House National AI Policy Framework (child‑safety section) – https://www.klgates.com/White-House-Releases-National-AI-Policy-Framework-3-24-2026

Hardware mentioned in the conversation 🖥️

• Acer external monitor – https://www.acer.com
• Apple Bluetooth Keyboard – https://www.apple.com/shop/product/MLA22LL/A/magic-keyboard
• Apple Bluetooth Mouse (Magic Mouse) – https://www.apple.com/magic-mouse
• Apple iPhone (work and personal devices) – https://www.apple.com/iphone
• Apple MacBook Pro 14‑inch – https://www.apple.com/macbook-pro-14-and-16
• Bose wired over‑ear headphones – https://www.bose.com
• Laptop stand (generic Amazon stand) – https://www.amazon.com (search "laptop stand")

Software & Cloud Services mentioned in the conversation ☁️

• Apple App Store – https://www.apple.com/app-store
• Facebook – https://www.facebook.com
• Google Play Store – https://play.google.com
• Instagram – https://www.instagram.com
• TikTok – https://www.tiktok.com
• YouTube – https://www.youtube.com

Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, our Google Notebook LLM bot panelists unpack our May 18th, 2026, editorial, "AI Won't Replace Solo and Small Firm Lawyers. It Will Supercharge Them," and explore how generative AI tools are reshaping daily legal work, supercharging solo and small firm practices, and raising serious questions about competence, confidentiality, and supervision.

We walk through how AI "unbundles" legal tasks, why Jevons Paradox means more demand for lawyers (not less), and how solo professionals can safely treat AI as the junior associate they do not have to hire but still must supervise. You will come away with practical, ethics-conscious strategies to integrate AI into your workflow without sacrificing judgment, client trust, or your license. ⚖️

In our conversation, we cover the following

• 00:00:00 – Why "doom hype" around AI is targeting the legal profession and why the collapse-of-lawyers narrative falls apart in real life.
• 00:01:00 – Introducing Michael D.J. Eisenberg's editorial "AI Won't Replace Solo and Small Firm Lawyers. It Will Supercharge Them."
• 00:02:00 – Setting ground rules: educational discussion only and why this episode is not legal advice.
• 00:02:30 – Rethinking what a "job" really is and the idea that legal work is a bundle of tasks, not one monolithic activity.
• 00:03:00 – Comparing big-firm specialization to the tightly packed bundle of tasks handled by solo and small-firm lawyers.
• 00:03:30 – Why AI can pull on individual threads in that bundle, but cannot run the whole practice for you.
• 00:04:00 – The solo master-chef metaphor: AI as the kitchen machine doing prep work while the human focuses on taste and judgment. 🍲🤖
• 00:05:00 – How AI can draft preliminary summaries or case law lists while the lawyer still owns strategy and verification.
• 00:05:30 – The "mental verification" problem: when typing and thinking used to be the same act for lawyers.
• 00:06:00 – What changes when AI writes the first draft and why verification must become a separate, deliberate step.
• 00:06:30 – The risk of hallucinated filings and viral stories of fake cases generated by AI. 😬
• 00:07:00 – Data points showing the profession is adapting, not dying: more lawyers, more bar-required jobs, rising law school interest.
• 00:07:30 – Revisiting the e‑discovery panic and predictions that predictive coding would wipe out junior associates.
• 00:08:00 – How cheaper e‑discovery led to an explosion of data and actually increased demand for legal work.
• 00:08:30 – Introducing Jevons Paradox and why greater efficiency can increase, not decrease, total demand.
• 00:09:00 – The widened-highway analogy: more lanes, more traffic, and how that maps onto AI in law. 🛣️
• 00:10:00 – How AI lets small firms tackle big, complex matters and offer more predictable flat-fee pricing.
• 00:11:00 – Expanding access to legal services for the middle class and why cheaper legal work grows the market.
• 00:11:30 – Turning to ethics: ABA Model Rule 1.1 on competence and the duty to understand relevant technology.
• 00:12:00 – The solo's burden: you are the IT department and the innovation committee, all at once. ☕💻
• 00:12:30 – A practical definition of technological competence for solos and small firms.
• 00:13:00 – Starting small with AI: summaries, first-draft emails, and extracting checklists from dense legislation.
• 00:13:30 – AI as the "junior associate you don't have to hire but must supervise" under Rules 5.1 and 5.3.
• 00:14:00 – Why you remain responsible for AI's output just as you would for a paralegal or junior lawyer.
• 00:14:30 – The solo's question: Does it really make sense to write a formal AI policy for just one person?
• 00:15:00 – How a short written AI policy creates hard boundaries before you are stressed and rushed.
• 00:15:30 – Defining approved uses, high‑review tasks, and absolute "no-go" zones for AI in your practice.
• 00:16:00 – Model Rule 1.6 on confidentiality and the special risk solo and small firms face with cloud tools.
• 00:16:30 – Why pasting sensitive client facts into a generic consumer chatbot is an ethical minefield.
• 00:17:00 – How consumer AI tools tokenize your text and use it to train future models.
• 00:17:30 – The "megaphone in a public square" analogy for pasting confidential data into public AI tools. 📣
• 00:18:00 – Moving from megaphones to soundproof vaults: using enterprise modes or legal-specific platforms.
• 00:18:30 – Why a single data breach can be existential for a solo firm and why clients should care about tool choices.
• 00:19:00 – Legislative inflation: constant growth in complex rules, norms, and regulations across jurisdictions.
• 00:19:30 – How AI helps solos track regulatory change, generate client alerts, and update templates in real time.
• 00:20:00 – Carving out lucrative micro‑niches with AI, such as hyper‑specific regulatory domains.
• 00:20:30 – Pairing niche expertise with SEO and content marketing so a solo can compete at scale.
• 00:21:00 – The junior lawyer dilemma: what happens to entry-level training when AI eats the grunt work.
• 00:21:30 – Why firms still need junior lawyers to build a future bench, not just to type memos.
• 00:22:00 – What AI fundamentally cannot do: build trust in person, join community events, or create referral networks.
• 00:22:30 – How automation pushes lawyers toward more human-centric, relationship-focused work. ❤️
• 00:23:00 – The core conclusion: the real existential threat is the AI-literate competitor down the street, not the robot.
• 00:23:30 – Treating AI as a supervised junior associate while protecting ethics, productivity, and client outcomes.
• 00:24:00 – Final reflections: mapping your own "bundle of tasks" and deciding what to offload so you can supercharge yourself. ⚡

RESOURCES

Mentioned in the episode

• "AI Won't Replace Solo and Small Firm Lawyers. It Will Supercharge Them" – Editorial by Michael D.J. Eisenberg https://www.thetechsavvylawyer.page/
• American Bar Association Model Rule 1.1 – Competence https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_1_competence/
• American Bar Association Model Rule 1.6 – Confidentiality of Information https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/rule_1_6_confidentiality_of_information/
• American Bar Association Model Rule 5.1 – Responsibilities of Partners, Managers, and Supervisory Lawyers https://www.thetechsavvylawyer.page/search?q=5.1
• American Bar Association Model Rule 5.3 – Responsibilities Regarding Nonlawyer Assistance https://www.thetechsavvylawyer.page/search?q=5.3
• Damien Charlotin on AI and legal jobs (referenced argument on AI creating more legal work) https://www.washingtonpost.com/opinions/2026/05/17/ai-isnt-end-legal-profession-its-future/
• Jevons Paradox – economic concept on efficiency and increased demand https://en.wikipedia.org/wiki/Jevons_paradox

👉 If this episode helps you think more clearly about AI, ethics, and your own "bundle of tasks," share it with a colleague and subscribe so you never miss a future Tech-Savvy Lawyer deep dive. 🚀

My next guest is Hamid Kohan, founder of LegalSoft and LawPractice.ai, and one of the most practical voices on applying AI inside real-world law firms.🧠 He joins me to break down how firms can move beyond the "we've done it this way for 40 years" mindset, modernize their tech stack, and start using AI today without taking on unnecessary risk.

Join Hamid and me as we discuss the following three questions and more!

• What are the top three ways law firms can integrate AI using solutions like LegalSoft and LawPractice.ai into their intake, case management, and document workflows to improve efficiency and accuracy?
• From your work directly with law firms, what are the top three challenges lawyers face in adopting AI, and how can they overcome them to modernize their practice?
• Looking ahead, what are the top three emerging technologies beyond AI that attorneys should start exploring today to stay competitive in the legal industry?

In our conversation, we cover the following

• 00:00 – Welcoming Hamid and overview of his tech-heavy environment
• 00:30 – Why his team is 90% Mac while he stays on PC and Android
• 01:10 – Running a pure cloud and SaaS setup with no true desktop environment
• 02:00 – Treating devices as "Uber" to the web and why local power matters less
• 02:30 – Hardware choices: HP PC, massive Samsung monitors, and 60+ browser tabs as a to‑do list
• 03:30 – Working across 12 entities and using tabs to monitor departments and initiatives
• 04:00 – Living in Google Chrome and managing resource usage for heavy browser workflows
• 04:40 – Chrome extensions Hamid relies on: Adobe, malware protection, McAfee, offline document tools
• 05:20 – Why he uses Chrome's built-in password manager
• 05:40 – Android Samsung smartphone and keeping mobile simple
• 06:00 – Question 1: top three ways to integrate AI into intake, case management, and document workflows
• 06:20 – How legal is "stuck in the past" and why Hamid saw law firms as a scaling opportunity
• 07:10 – From CRMs and workflows to KPIs: the pre‑AI foundation for scaling law firms
• 07:40 – The "sky dropped" moment when AI hit the legal industry
• 08:10 – Vendor noise, "Me Too AI," and why vertical, single‑purpose AI tools overwhelm firms
• 08:50 – Why multi-solution AI platforms (like LawPractice.ai) will ultimately win
• 09:20 – Why firms must start using AI now instead of waiting for perfection
• 09:50 – Where lawyers should start with AI: document collection as a low‑risk entry point
• 10:30 – Using AI to automate document requests via SMS, email, and calls
• 11:00 – AI document summary that checks whether a client sent the correct document
• 11:40 – Why AI collection and summaries are "risk-free" compared to AI drafting
• 12:10 – Using AI for document chronologies and conservative workloads
• 12:40 – Explaining LegalSoft: global virtual staffing for law firms across eight countries
• 13:30 – How virtual legal staff can cut overhead by up to 75% for firms
• 14:20 – Why Hamid launched LawPractice.ai to AI‑enable both law firms and LegalSoft's 4,000 professionals
• 15:10 – Question 2: the top three challenges lawyers face when adopting AI
• 15:30 – Challenge 1: finding the right AI tool in a crowded, noisy market
• 16:00 – Challenge 2: underestimating implementation, training, and real‑world usage
• 16:20 – Case example: an employment firm that changed its view of AI after proper training
• 17:10 – Challenge 3: signing long-term AI contracts before proper testing
• 17:30 – Why firms should insist on "try before you buy" pilot periods
• 18:00 – Making AI usage mandatory to avoid adoption resistance inside the firm
• 18:40 – Parallels with CRMs like Clio, Filevine, and CasePeer and partial user adoption
• 19:20 – How poor CRM data entry disrupts the entire legal workflow
• 20:00 – Question 3: "beyond AI" tech and why Hamid says it's "AI, AI, AI" for now
• 20:30 – The real three "emerging tech" priorities: selecting, implementing, and integrating AI
• 21:00 – Why locking into long-term tech contracts is risky in a fast-moving AI landscape
• 21:30 – The trap of attractive multi‑year discounts and what firms should watch for
• 22:00 – Where listeners can find Hamid and book a one‑on‑one through LegalSoft

Resources

• Connect with Hamid
  • Website: LegalSoft – legalsoft.com 🌐
  • Website: LawPractice.ai – lawpractice.ai 🤖
  • LinkedIn: Hamid Kohan (personal profile) - https://www.linkedin.com/in/hamid-kohan-0367276/ 🔗
  • LinkedIn: LegalSoft company page - https://www.linkedin.com/in/hamid-kohan-0367276/ 🔗

Mentioned in the episode

• • How to Scale Your Stupid Law Firm – book page (example listing) https://www.abebooks.com/9781955242363/Scale-Stupid-Law-Firm-Kohan-1955242364/plp

• Hardware mentioned in the conversation

• Android Samsung smartphone – Samsung Galaxy phones overview https://www.samsung.com/us/mobile/phones/all-phones/
• HP PC laptop/desktop (Hamid's primary computer) – HP consumer laptops & desktops starting point https://www.hp.com/us-en/home.html
• Samsung monitors, including large ultrawide / 62–75 inch displays – Samsung ultrawide monitors https://www.samsung.com/us/computing/monitors/ultra-wide/

• Software & Cloud Services mentioned in the conversation

• Adobe Chrome extension – Adobe Acrobat PDF browser extension https://www.adobe.com/acrobat/pdf-viewer-extension.html
• Amazon Web Services (AWS) for cloud infrastructure – AWS homepage https://aws.amazon.com
• CasePeer (legal CRM / practice management) – CasePeer overview (representative legal CRM article) https://www.casepeer.com/
• Chrome built‑in password manager – Chrome password manager info (via browser help path) https://chromeenterprise.google/download/
• Clio (legal practice management / CRM) – Clio homepage https://www.clio.com
• Filevine (legal case management platform) – Filevine legal case management page https://www.filevine.com/platform/case-management-software/
• Google Chrome browser – https://www.google.com/chrome/browser-tools/
• HubSpot CRM and marketing automation (core operational platform) – HubSpot homepage https://www.hubspot.com
• Malware protection extensions and McAfee tools – McAfee antivirus / security suite https://www.mcafee.com/en-us/antivirus.html

📌 To Busy to Read This Week's Editorial?

Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, we unpack how AI note takers and "always-listening" devices can quietly route client secrets to third-party vendors, why that matters under the ABA Model Rules, and how a 2026 federal decision out of the Southern District of New York turned one defendant's AI chats into discoverable evidence. Whether you are a solo practitioner, in-house counsel, or a tech-curious professional in another field, this conversation will help you balance convenience with confidentiality and avoid turning your favorite AI assistant into your biggest evidentiary risk.

👉 Before your next client meeting, listen to this episode, check out our editorial, and run your current AI tools through the checklist we outline—then subscribe and share with a colleague who is still "just trusting the app." 🎧

In our conversation, we cover the following:

• 00:00 – The "ambient microphone" problem: phones, smart speakers, wearables, and connected cars as a continuous surveillance layer around client conversations.
• 01:00 – How technology competence has shifted from locking file cabinets to understanding data custody, cloud routing, and API-driven services.
• 02:30 – What makes AI note takers like HeyPocket different from passive telemetry and why capturing the spoken "payload" changes the threat model.
• 04:00 – The invisible "third party in the room": routing privileged audio through external AI models and the malpractice risk of default "Allow" clicks.
• 05:30 – Applying ABA Model Rules 1.1 and 1.6 to AI workflows: competence, confidentiality, and "reasonable efforts" in a world of automated transcription.
• 07:00 – Risk-based analysis from ABA Formal Opinions 477R and 498: weighing sensitivity, likelihood of disclosure, and available safeguards before using AI.
• 08:30 – Why secretly recording clients or opponents with AI tools can implicate Rule 8.4(c), even in one‑party consent jurisdictions.
• 10:00 – Inside United States v. Heppner (SDNY 2026): how public generative AI platforms destroyed privilege and work-product protections for a criminal defendant.
• 12:00 – How AI training and tokenization work, why "military‑grade encryption" does not save privilege if terms of service allow internal data use.
• 14:00 – Treating every AI note taker like an outsourced e‑discovery vendor: NDAs, retention policies, security audits, and data destruction timelines.
• 16:00 – Practical minimization strategies: defaulting to no recording, segmenting AI-generated content by matter, and restricting access via role‑based controls.
• 17:30 – Establishing bright-line "no‑AI" categories (criminal defense, internal investigations, sensitive family/immigration, high‑value trade secrets).
• 18:30 – Counseling clients not to "prep their case" with public chatbots after Heppner and why this is now part of competent representation.
• 19:30 – Building a simple vendor-vetting checklist for law firms and professional practices adopting AI note takers.
• 20:00 – Looking ahead: when failure to use secure, vetted AI may itself become a competence issue due to inefficiency and overbilling.
• 21:00 – Rethinking privilege in a world where an algorithmic "third party" is always in the room and devices are never truly off

RESOURCES

Mentioned in the episode

• ABA Formal Opinion 477R – "Securing Communication of Protected Client Information" – https://www.americanbar.org/products/ecd/chapter/348777154/
• ABA Formal Opinion 498 – "Virtual Practice" – https://www.americanbar.org/content/dam/aba/administrative/professional_responsibility/ethics-opinions/aba-formal-opinion-498.pdf
• ABA Model Rules of Professional Conduct – https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduc
• Pocket / HeyPocket AI note-taking platform – https://heypocket.com/
• United States v. Heppner, S.D.N.Y. 2026 – https://storage.courtlistener.com/recap/gov.uscourts.nysd.652138/gov.uscourts.nysd.652138.27.0.pdfHardware mentioned in the conversation

My next guest is Alan Klevan, a veteran personal injury lawyer and Chair of the ABA Law Practice Division's Legal Technology Resource Center (LTRC), known for running one of the first paperless practices in New England and for his clear-eyed approach to AI in law. In this live episode recorded at the ABA Spring Conference in San Diego, Alan and I dig into how solos and small firms can use AI, case management platforms, hardware, and workflows to practice more efficiently while honoring their ethical duties and protecting client confidentiality.

Join Alan Klevan and me as we discuss the following three questions and more!

• What are the top three ways Alan uses AI and other tech tools to control discovery and document management at scale, protect client confidentiality, and communicate complex case progress to clients who only care that it is accurate and on time?
• As Chair of the ABA Law Practice Division's Legal Technology Resource Center, what top three technology practices does Alan wish every small or solo lawyer would adopt in the next 12 months?
• What were the three most important technology decisions Alan made early in his career around paperless workflows, practice management, automation, and AI‑powered research—and how can today's practitioners follow that lead?

In our conversation, we covered the following

• [00:00:00] Live from the ABA Spring Conference in San Diego, introducing Alan Klevan and the setting of the conversation 🌴
• [00:00:30] Alan's mirrored bi‑state setup: two Lenovo i7 laptops in Massachusetts and Florida, dual 24" HP HD monitors, two ScanSnap iX1600 scanners, laser printers, and Microsoft OneDrive syncing between offices 💻📠
• [00:01:10] Traveling with a third "road warrior" Lenovo laptop, iPhone as primary smart device, and using the reMarkable 2 tablet for handwritten notes that sync into client and ABA files ✍️
• [00:01:45] Early impressions of the Plaud (AI wearable) device, background-noise muting, and why Alan limits it to non‑critical meetings due to privilege concerns 🎧
• [00:02:20] Judicial skepticism about AI recording tools in court; motion practice, privilege issues, and a New York judge flatly banning AI recorders in the courtroom 🚫
• [00:03:10] AI hallucinations in legal practice, roughly 1,300 known hallucination incidents, and why the real problem is lawyers not checking citations—highlighted by a recent Oregon sanctions case 💸
• [00:04:00] The Oregon lawyer who tried to "fix" hallucinated citations with a motion to refile instead of candor to the court and opposing counsel, and how that became a fraud‑on‑the‑court issue under the Oregon Rules of Professional Responsibility
• [00:04:45] Using Google Scholar as an AI‑prompting "hack" to verify every citation and case suggested by AI tools 🔍
• [00:05:20] Question 1 restated: top three ways Alan uses AI and tech to (1) control discovery, (2) protect confidentiality and ethical duties, and (3) communicate complex case progress to clients
• [00:05:45] Drafting AI and social media policies directly into contingency‑fee agreements so clients do not post about their case or use open‑source AI on case‑related issues 📜
• [00:06:30] Hepner and Warner: open‑source vs enterprise AI, attorney–client privilege, work product concerns, and emerging discoverability questions for public‑facing AI platforms
• [00:07:20] Trap for the unwary: why Alan insists clients notify him before using AI on their case and why he prefers enterprise versions of AI for better protection and governance 🧠
• [00:08:10] The Nippon life Insurance case: client uploads attorney communications into ChatGPT, asks if her lawyer is gaslighting her, then files 44 AI‑drafted motions—raising product liability and disclaimer questions for AI vendors 🏛️
• [00:09:30] Court pushback on AI disclaimer language, defective product theories, and the infancy of AI‑related legal liability
• [00:10:10] Alan's big personal‑injury "Aaron Brockovich‑type" case with a deep‑pocket defendant and using AI to level the playing field on litigation management and motion practice ⚖️
• [00:11:00] Feeding facts, parties, defense counsel names, and pleadings into a case management system with a built‑in, highly accurate legal AI component (VL) and generating 50‑state case research for negligent infliction of emotional distress claims 📂
• [00:12:00] Running the same matter through two AI platforms (case management AI and Claude) to compare outputs, reduce hallucination risk, and mold responses to Alan's writing style and Massachusetts practice
• [00:13:00] Using Claude (enterprise tier) to draft an opposition to a motion to dismiss seven emotional‑distress claims, followed by manual review and cross‑checking in the case management AI—leading to the defendant's motion being denied ✅
• [00:14:15] Alan's process for verifying AI outputs: second set of "AI eyes," Google Scholar citation checks, and lawyer‑level review of every filing
• [00:15:00] Advice for new attorneys: try AI platforms before buying, choose a tool that fits your workflow, avoid shiny‑object syndrome, and do not over‑commit to annual plans while the market is moving fast 🧩
• [00:16:00] Michael's caution about yearly plans, vendor lock‑in, and ensuring your data is nimble enough to move between AI platforms without costly migrations
• [00:16:45] Alan's rule: do not chase every AI; become a master of one platform, learn it deeply, and resist the temptation to constantly switch 🧠
• [00:17:10] Both hosts stress "review, review, review"—AI as a law librarian or 3L intern, not as your practicing lawyer, and the concept that AI does not have a JD 🎓
• [00:18:00] Anecdote from 1990: Alan is sent to court unprepared, gets sent out of the courtroom to learn his file, and how that story frames his modern view of AI oversight and responsibility
• [00:19:10] Question 2: as LTRC Chair, Alan's top three technology practices every small or solo lawyer should adopt in the next 12 months
• [00:19:30] Tech Practice #1: invest in a fast machine (Windows or Mac) with as much RAM and storage as you can reasonably afford, and strip the "crapware" off box‑store Windows machines 🖥️
• [00:20:10] Discussion of Apple vs Windows pricing, the need for more than 16 GB of RAM, multi‑core processors, and why Alan buys Lenovo laptops with 32 GB RAM and expects 3–4 year laptop lifespans 💾
• [00:21:30] Backups and storage: redundant cloud backups, redundant hard drives, using external 5 TB drives from Staples, and keeping active machines "clean" for better AI performance
• [00:22:30] Tech Practice #2: immerse yourself in what is happening with AI and law practice, become a master of one AI platform, and continuously read ethics and disciplinary decisions about AI use 📚
• [00:23:15] Tech Practice #3: your head is your most important piece of technology—using judgment, stepping back to assess risks, and making sure anything submitted to court or client is accurate
• [00:24:00] Economic access, hardware costs, and why Alan still believes lower‑resource attorneys can get workable hardware by being strategic about purchases, specs, and lifecycles
• [00:25:10] Michael's storage philosophy: lots of local SSD, multiple backups, and revisiting older briefs and arguments (e.g., mailbox‑rule analysis) to build new work more efficiently
• [00:26:10] Disk space versus backup strategy, internal vs external drives, cloud vs local files, and disaster recovery considerations
• [00:27:20] Question 3: top three early technology decisions Alan made around paperless practice, automation, and AI‑powered research
• [00:27:40] Answer #1: going fully paperless in 2005—the first paperless practice in New England—and eliminating almost all postage costs by sending encrypted electronic communications and demand packages ✉️
• [00:28:15] Answer #2: becoming a power‑user of Adobe Acrobat and PDF workflows so he can respond to massive production requests (e.g., 10,000 pages) in seconds instead of hours 📑
• [00:29:00] Answer #3: adopting case management platforms with AI‑driven workflows that automatically assemble record requests, HIPAA authorizations, and certifications for medical providers
• [00:29:45] Dusty hardware: why Alan's printer and ScanSnap are seeing less use, yet scanners remain necessary for partners who still prefer paper and non‑electronic delivery 🖨️
• [00:30:20] Michael's own shrinking paper consumption, stamps.com, and transitioning to PDF‑based workflows with secure electronic delivery
• [00:31:00] Adobe Acrobat as "gold standard" for lawyers, why every attorney must understand PDFs deeply, and Alan's "learn it, love it, live it" mantra 📄
• [00:31:40] Bonus segment: what the ABA Legal Technology Resource Center (LTRC) is, its role as a "delivery board," and how it serves both the Law Practice Division and the broader ABA membership 🏛️
• [00:32:20] LTRC's four pillars of law practice management—marketing, technology, practice, and finance—and how it delivers content via Law Technology Today, webinars, podcasts, and roundtables
• [00:33:10] 2024–25 LTRC theme: AI‑centric content from intake through trial, and why Alan believes LTRC may become the ABA's most important board for practitioners navigating AI
• [00:34:00] Using AI for law‑firm marketing, content creation, case‑law recaps, and SEO—along with warnings about legal advice, PII, and AI‑generated "SEO articles" that sound inauthentic
• [00:35:00] Call to action: join the ABA Law Practice Division and LTRC, become one of roughly 30 tech‑focused thought leaders, and help shape AI guidance for the profession 🙌
• [00:36:00] Where to find Alan: why he is minimizing social presence during a major move and high‑stakes case, and the best way to reach him on LinkedIn

Hardware mentioned in the conversation

• Fujitsu ScanSnap iX1600 scanners – https://www.pfu-us.ricoh.com/scanners/scansnap/ix1600
• HP HD monitors – https://www.hp.com/us-en/shop/slp/hp-monitors/hp-series-3-pro?jumpid=ma_accy_button_na_2_260304
• HP LaserJet printers – https://www.hp.com/us-en/shop/vwa/printers/prnttyp=Laser?jumpid=ma_pr_featured_na_1_250511
• iPhone – https://www.apple.com/iphone
• Lenovo laptops – https://www.lenovo.com/us/en/laptops/
• Mac mini – https://www.apple.com/mac-mini
• reMarkable 2 tablet – https://remarkable.com/store/remarkable-2

Software & cloud services mentioned

• Adobe Acrobat – https://www.adobe.com/acrobat
• ChatGPT – OpenAI ChatGPT – https://chatgpt.com
• Claude – Anthropic Claude – https://www.anthropic.com/claude
• Dropbox – https://www.dropbox.com
• Microsoft OneDrive – https://www.microsoft.com/en-us/microsoft-365/onedrive/online-cloud-storage
• Stamps.com – https://www.stamps.com
• Zoom – https://zoom.us