In this episode of The AI Sidekick: Banishing Legal AI Anxiety, host Ryan Heath welcomes Lauren Watson from Robin AI's leadership team to explore the revolutionary concept of Legal Intelligence and how it's fundamentally different from traditional legal tech solutions, offering unprecedented capabilities for contract management and analysis.

What You'll Learn:
- How Legal Intelligence differs from traditional CLMs by embedding AI at the foundational level rather than as an add-on feature
- Why most businesses are losing revenue through poor contract visibility and management across departments
- The "System of Record + Intelligence" framework for transforming static documents into actionable business insights
- How to achieve 98% time savings on contract review tasks through AI-powered analysis
- Why starting small with specific use cases is the key to successful AI implementation in legal departments
- The critical role of seamless integration in driving adoption and delivering immediate value from legal tech investments
- How Legal Intelligence platforms can help attract and retain top legal talent in an AI-driven world
- Why legacy document management systems are failing to meet modern business needs for contract analysis and risk management
- The strategic advantage of democratizing access to contract data across business units while maintaining security

Lauren Watson is a member of the leadership team at Robin AI, specializing in legal intelligence and AI-driven contract management solutions. As a thought leader in legal technology transformation, she brings extensive expertise in helping Fortune 500 companies leverage AI to streamline their legal operations and contract management processes. Lauren is known for her deep understanding of how large language models can revolutionize legal document management, particularly in addressing challenges like revenue leakage, regulatory compliance, and contract visibility. In this episode, she introduces the emerging category of legal intelligence, explaining how it differs from traditional CLMs and offering practical insights for legal teams looking to modernize their technology stack. Her work has helped organizations achieve significant efficiency gains, including reducing contract review times by up to 98% for clients like the University of Cambridge investment management team.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

AI is reshaping legal compliance from reactive oversight to proactive risk management, while maintaining the critical importance of human judgment and relationships.

In this episode of The AI Sidekick: Banishing Legal AI Anxiety, host Ryan Heath speaks with Bill Ryan, Senior Vice President, Chief Compliance Officer, and Assistant General Counsel at AT&T, exploring how AI is transforming legal compliance while creating new challenges and opportunities in risk management.

What You'll Learn:
- How to make compliance more accessible and user-friendly through AI-powered communication simplification
- Why AI excels at summarizing and comparing data but requires human oversight for strategic decision-making
- The "Tactical vs. Strategic" framework for implementing AI across legal workflows
- How AI is simultaneously creating efficiencies and new complexities in legal risk management
- Why relationship-building skills become more crucial as AI handles routine legal tasks
- How to balance AI's capabilities with healthy skepticism when evaluating legal information
- The importance of defining personal fulfillment in legal careers amid technological transformation
- Why AI-powered legal complaints require new approaches to case evaluation and response

Bill Ryan serves as Senior Vice President, Chief Compliance Officer, and Assistant General Counsel at AT&T, bringing a unique perspective shaped by his 30-year career journey, which spans from elementary school teacher to telecommunications executive. With extensive experience in video content negotiations from his time at DIRECTV and later AT&T, Bill has been instrumental in navigating the complex intersection of compliance, legal operations, and technological innovation. In this episode, he shares valuable insights on implementing AI in compliance and legal workflows, drawing from AT&T's 150-year history of transformation and customer-centric innovation. His expertise in managing risk, compliance, and legal operations while embracing technological advancement makes him an authoritative voice for legal executives seeking to understand AI's impact on corporate legal functions. Bill's practical approach to AI adoption, balanced with a keen understanding of both opportunities and risks, offers valuable guidance for organizations navigating the evolving landscape of legal technology and compliance.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

AI is revolutionizing how private markets gather, analyze, and act on data, transforming traditional approaches to investment intelligence and customer strategy.

In this episode of The AI Sidekick: Banishing Legal AI Anxiety, host Ryan Heath connects with Shifra Ansonoff, Managing Director at BlackRock and Head of Global Research and Customer Experience at Preqin, to explore how AI is reshaping private markets, data management, and investment processes.

What You'll Learn:
- How Preqin leverages AI to transform fragmented private market data into actionable intelligence
- The three-layer framework for implementing AI in alternative assets: predictive analytics, data visualization, and document review
- Why pattern recognition AI is revolutionizing fundraising strategy and investor targeting
- How Browser Uses $17M innovation enables AI to process web information at human-like comprehension but machine speed
- The proven approach to driving AI adoption among risk-averse teams through iterative validation
- Why reasoning models and reinforcement learning will reshape alternative assets by 2030
- How AI can optimize time management and workflow efficiency in high-stakes investment environments
- The balance between AI automation and human oversight in private market intelligence

Shifra Ansonoff is the Managing Director at BlackRock and Head of Global Research and Customer Experience at Preqin, known as the "Obi-Wan of data" in the financial services industry. With over two decades of experience advising financial institutions on data management, risk, and investment processes, she has been instrumental in transforming fragmented data into unified insights for private markets. Her expertise spans predictive analytics, data visualization, and AI integration in alternative assets, having played a key role in revolutionizing private market transparency since 2003 through pioneering the use of the Freedom of Information Act for fund-level data access. In this episode, Shifra shares valuable insights on AI's transformative impact in private markets, offering strategic perspectives on data opportunities, AI adoption, and the future of alternative assets for industry professionals seeking to leverage artificial intelligence in their operations.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

Building a future-ready legal department requires embracing AI with a balanced approach to innovation and risk-taking, while maintaining high standards of legal excellence.

In this episode of The AI Sidekick: Banishing Legal AI Anxiety, host Ryan Heath welcomes Yvonne Schroeder, Chief Legal Officer at LogicMonitor, to share insights on transforming legal operations through AI adoption. Drawing from her extensive experience scaling legal departments in high-growth environments, Yvonne discusses how to build an AI-enabled legal team that balances innovation with practical implementation.

What You'll Learn:
- How to create a culture of productive experimentation with AI in legal teams
- Why detailed upfront prompting is crucial for maintaining professional standards in AI-generated contract work
- The "Permission to Fail" framework for encouraging team adoption of AI tools
- How to evaluate AI fluency when hiring legal professionals in today's landscape
- Why combining AI automation with human oversight creates happier, more productive legal teams
- The critical balance between leveraging AI efficiency and developing junior lawyers' fundamental skills
- How to implement legal chatbots that enhance team productivity while maintaining accuracy
- The strategic approach to scaling legal operations through technology when hiring budgets are constrained

Yvonne Schroeder is the Chief Legal Officer at LogicMonitor, where she leads the transformation of legal operations through innovative AI integration. With extensive experience building and scaling legal departments across tech, software, and manufacturing sectors, she has pioneered the adoption of AI-powered solutions to scale legal operations efficiently. Known for fostering a culture of experimentation and continuous learning, Yvonne has successfully implemented legal chatbots and AI-driven contract review systems while managing compliance, cybersecurity, and risk in high-growth environments. Her forward-thinking approach to legal technology and team development has enabled LogicMonitor to scale towards billion-dollar operations while maintaining lean, effective legal operations. She shares valuable insights on building AI-fluent legal teams and creating a permission-based culture that encourages technological innovation while maintaining professional standards.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

Legal AI adoption requires a strategic, people-first approach that balances technological innovation with practical implementation and organizational readiness.

In this episode of The AI Sidekick: Banishing Legal AI Anxiety, host Ryan Heath from Robin AI speaks with Colin Levy, General Counsel at Malbek and author of multiple legal tech publications, to explore how legal teams can effectively integrate AI while maintaining healthy skepticism and focusing on practical outcomes.

What You'll Learn:
- How to navigate the balance between AI enthusiasm and necessary skepticism in legal tech adoption
- Why a people-first strategy is crucial for successful legal tech implementation
- The framework for developing effective AI partnerships in legal functions
- How AI is reshaping traditional legal career paths and team structures
- Why building proper foundations before implementing AI solutions prevents costly failures
- The essential steps for transforming legal tech investments into meaningful business outcomes
- How to identify the right starting point for AI adoption in legal operations
- The importance of defining specific, measurable goals before pursuing AI implementation

Colin Levy is General Counsel at Malbek, a leading CLM platform, and a prominent voice in legal technology innovation. He is the author of "The Legal Tech Ecosystem," coauthor of "CLM for Dummies," editor of "The Handbook of Legal Tech," and a columnist for Today's General Counsel. With extensive expertise in contract lifecycle management and legal technology implementation, Colin brings a measured, practical approach to AI adoption in legal operations. He shares valuable insights on building effective human-AI partnerships in legal departments, the evolution of legal education, and creating sustainable technology adoption strategies. His work in developing frameworks for legal tech maturity and implementation has helped organizations navigate the complexities of digital transformation while maintaining a people-first approach to technology adoption.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

In this episode of The AI Sidekick: Banishing Legal AI Anxiety, host Ryan Heath from Robin AI speaks with Taa Grays, President-elect designee of the New York State Bar Association and veteran financial institutions executive, about navigating AI implementation in legal practice while maintaining professional standards and ethics.

What You'll Learn:
- How to build trust and reputation as foundations for successful legal innovation leadership
- Why global companies need flexible AI frameworks that balance US, EU, and international regulatory approaches
- The strategic framework for identifying high-value AI use cases in legal practice, focusing on routine tasks and data insights
- How AI tools can transform legal resource allocation and team management through better data analytics
- Why bar associations play a crucial role in helping lawyers gain AI literacy and practical implementation skills
- The balanced approach to using AI for improving access to justice while maintaining appropriate professional oversight
- How to transform mistake-making from a confidence breaker into a growth opportunity for legal professionals

Taa Grays is a distinguished legal executive and the president-elect designee of the New York State Bar Association, bringing over two decades of experience in financial institutions, regulation, innovation, and compliance. As a powerhouse at the intersection of tech, law, and information governance, she has built an impressive career that spans from the Bronx District Attorney's Office to MetLife, where she has been instrumental in driving technological innovation and diversity initiatives. In this episode, Taa Grays shares valuable insights on AI implementation in legal practice, discussing how both large law firms and solo practitioners can responsibly adopt AI technologies while navigating complex regulatory landscapes. Her unique perspective on balancing innovation with compliance, particularly in global contexts, offers crucial guidance for legal executives seeking to modernize their operations while maintaining ethical standards. Her leadership in the Bar Association's AI initiatives and commitment to expanding access to legal services through technology make her an authoritative voice for legal professionals adapting to the AI era.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

In this episode of The AI Sidekick: Banishing Legal AI Anxiety, host Olivia Vaughan from Robin AI speaks with Tricia Troth, who leads the startup business for AWS in the UK and Ireland, exploring how AWS supports innovative companies in implementing AI solutions and driving digital transformation across regulated industries.

What You'll Learn:
- How to overcome the primary barriers to AI adoption: cultural inertia, skills gaps, and resource constraints
- Why customer-centric AI implementation is crucial for successful digital transformation
- The "Fail Fast" principle for rapid AI experimentation and innovation in regulated industries
- How AI is revolutionizing traditional sectors, from legal tech to cancer detection and sustainable agriculture
- Why partnerships and technical support are essential for scaling AI solutions effectively
- The AWS framework for supporting startups through credits, technical guidance, and go-to-market strategies

Tricia Troth leads the startup business for AWS in the UK and Ireland, bringing over five years of experience at Amazon Web Services to help innovative startups reach their full potential. As a key figure in AWS's startup ecosystem, she oversees programs like the generative AI accelerator and Compute for Climate fellowship, helping companies leverage AWS technology to transform their industries. In this episode, Tricia shares valuable insights on digital transformation challenges, AI adoption strategies, and success stories from AWS customers like Zilch, Sonrai, and Phytoform. Her expertise in helping startups scale through AI innovation and her deep understanding of regulated industries make her perspective particularly valuable for business leaders navigating the complex landscape of AI implementation.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

Legal teams must evolve from risk gatekeepers to growth enablers in the AI era, embracing calculated risks while maintaining strategic oversight.

In this episode of The AI Sidekick: Banishing Legal AI Anxiety podcast, host Ryan Heath interviews Anne Robinson, Senior Vice President and Chief Legal Officer at IBM, to explore how legal departments can transform into strategic business partners while navigating the complexities of AI adoption and regulatory change.

What You'll Learn:

• How to structure legal teams for maximum business impact by aligning with business units rather than solely focusing on subject matter expertise
• The "Risk-Rate" framework for implementing AI tools across low, medium, and high-risk legal activities
• Why early engagement is crucial for legal teams to shift from problem-solvers to solution enablers
• The hybrid approach to AI adoption, combining third-party platforms with internal tools for optimal results
• How to build an agile legal organization that anticipates regulatory changes while maintaining consistent guidance
• The principle of "perpetual adaptation" - why legal teams must resist settling into comfortable routines as technology evolves
•  Why curiosity and resourcefulness are essential traits for modern legal teams driving innovation
• How proactive regulatory engagement through public policy can help shape the future of AI governance

Anne Robinson is the Senior Vice President and Chief Legal Officer at IBM, bringing decades of experience from leadership roles at major organizations, including Vanguard, American Express, and Citi. Known for her approach as "a businessperson who happens to be a lawyer," she leads IBM's legal strategy during a transformative period of AI and quantum computing investment. As a key strategic partner in IBM's $150 billion AI initiative, Anne Robinson champions responsible AI adoption while ensuring legal teams remain growth enablers rather than blockers. Her expertise in navigating regulatory complexities, fostering innovation, and driving organizational change has positioned her as a leading voice in technology law and corporate legal operations. Under her leadership, IBM's legal department has pioneered a hybrid approach to AI implementation, balancing innovation with risk management while maintaining the company's century-long legacy of technological advancement.

If you enjoyed this episode, make sure to subscribe, rate, and review it on Apple Podcasts, Spotify, and YouTube Podcasts. Instructions on how to do this are here.

To learn more about Robin AI, visit www.robinai.com/book-a-demo

What’s it going to take to banish the hesitation that surrounds AI use in the legal landscape? In this episode of The AI Sidekick: Banishing Legal AI Anxiety podcast, host Ryan Heath welcomes Nia Castelly, Co-founder and Head of Legal, Checks at Google, to explore the antidote - from how legal teams can embrace AI to increasing efficiency.

What You’ll Learn: 

• How to leverage GenAI for efficient legal research, communication, and data analysis without compromising quality
• Why AI won't replace lawyers but will redefine how they create value through strategic thinking and expertise
• Why small tests of AI tools in low-risk scenarios are a useful exercise before broader implementation
• How to address privacy and bias concerns while maximizing AI's benefits in legal operations
• Why training and development in AI technology should be mandatory for legal teams
• How enterprise-level AI solutions can enhance email management and workflow optimization while maintaining control

Over her illustrious career, Nia Castelly has been recognized as a savvy user of technology and AI, regularly tapping into the intersection of law and technology. With decades of experience in IP, privacy, AI trust and safety, she currently serves as the Co-Founder and Head of Legal for Checks, Google’s AI-powered compliance platform. Her work includes helping and supporting Fortune 500 and multinational companies build safer applications more efficiently.

Nia is an advocate for the responsible and fair use of technology and AI in the legal landscape, encouraging lawyers, legal professionals, and beyond, across small and big firms/ organizations, to make the most of this intersection.

If you enjoyed this episode, make sure to subscribe so you don’t miss an episode. Also, rate and review on Apple Podcasts and Spotify, we appreciate all feedback from our listeners 🙂

To learn more about Robin AI, visit www.robinai.com/book-a-demo

Episode Resources:

• Nia Castelly on LinkedIn
• Ryan Heath on LinkedIn
• Robin AI Website

If there were one strategy that could empower your employees to grow, innovate, and succeed, wouldn’t you apply it immediately? In this episode of The AI Sidekick: Banishing Legal AI Anxiety podcast, host Ryan Heath welcomes Ashton Madigan, Counsel at Deloitte, for a conversation on the criticality of AI literacy within an organization, when it comes to setting teams up for success.

What You’ll Learn: 

• How to build comprehensive AI literacy programs that empower employees 
• The critical elements of effective AI governance in the absence of clear regulations
• Why combining technical expertise with strategic oversight is crucial for AI implementation
• Using department-specific guardrails to scale AI adoption across large organizations 
• The "Safe Environment" approach to helping risk-averse lawyers embrace AI tools
• The importance of bottom-line impact analysis 
• Why law schools must evolve to prepare future lawyers for AI-driven legal practice

Ashton Madigan serves as Counsel at Deloitte, where she has established herself as an expert in AI governance and the intersection of law and technology. As the co-author of Deloitte's internal AI literacy training for the US firm, she brings extensive experience in dealmaking, regulatory strategy, and AI implementation. Ashton specializes in empowering organizations to develop effective AI governance frameworks and literacy programs, helping bridge the gap between technical capabilities and practical business applications. Her work personifies the delicate balance between AI implementation and managing associated risks and regulatory compliance.

If you enjoyed this episode, make sure to subscribe so you don’t miss an episode. Also, rate and review on Apple Podcasts and Spotify, we appreciate all feedback from our listeners 🙂

To learn more about Robin AI, visit www.robinai.com/book-a-demo

Episode Resources:

• Ashton Madigan on LinkedIn
• Ryan Heath on LinkedIn
• Robin AI Website