What happens when AI agents start making contracts with other AI agents?

In this episode, Jen Leonard and Bridget McCormack explore Legal Context Protocol, or LCP, a new open protocol designed to help legal terms become discoverable, verifiable, and connected to agentic transactions. Bridget explains why existing e-commerce legal infrastructure may not translate cleanly to a world where machines negotiate, accept terms, and complete transactions on behalf of people and businesses.

In this episode:

• What Legal Context Protocol is designed to solve
• Why agentic commerce creates new contract and ratification issues
• How legal terms can become discoverable, verifiable, and connected to transactions
• Why AI risk and legal-context risk should be separated
• What general counsel and law firm partners should do now

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Can AI help lawyers learn—or does it weaken the skills legal training is meant to build?

In this episode, Jen Leonard and Bridget McCormack are joined by Daniel Schwarcz, Fredrikson & Byron Professor of Law at the University of Minnesota Law School, to discuss new empirical research on artificial intelligence and human legal reasoning. Daniel explains a randomized control trial studying how law students used AI to synthesize legal materials, apply legal rules, and revise legal analysis—and why some results surprised even the researchers.

In this episode:

• Why legal training may prepare lawyers to use AI well
• What the University of Minnesota study tested about AI and legal reasoning
• Why AI-assisted students performed better than expected
• The risks of using AI for revision under time pressure
• What law schools and law firms should take away from the research

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The latest Am Law 100 power rankings reveal a legal industry undergoing rapid transformation—driven by shifting demand, intensifying competition, and the growing influence of AI. In this episode, Jen Leonard and Bridget McCormack are joined by legal industry analyst Jae Um to break down what’s changing in Big Law. They explore the rise of “apex predator” firms, widening performance gaps, evolving AI strategies, and early signs of client-side disruption.

In this episode:

• Am Law 100 power rankings and market concentration
• The rise of “apex predator” firms
• AI strategy and firm-level competition
• Shifting client demand and pricing pressure
• The future structure of Big Law

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Artificial intelligence is moving beyond tools and into systems—reshaping how legal work is performed and delivered.

In this episode, Jen Leonard and Bridget McCormack speak with Jason Barnwell, Chief Legal Officer at Agiloft, about the rise of AI agents, contract lifecycle management, and what these shifts mean for legal practice.

They explore how some professionals are able to extract exponentially more value from AI than others, the growing importance of structuring legal knowledge into reusable protocols, and how contract data is becoming a strategic asset inside organizations. The conversation also examines shifting incentives, emerging career paths, and how legal education and training may need to evolve in response.

Topics discussed include:

• AI agents and the shift from tools to systems
• Why some professionals get exponentially more value from AI
• Contract lifecycle management and the rise of contract data as infrastructure
• The changing role of lawyers from executors to system architects
• Legal education, training models, and new career pathways

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Artificial intelligence is beginning to test the boundaries of legal practice itself.

In this episode, Jen Leonard and Bridget McCormack examine Nippon Life v. OpenAI, a lawsuit alleging that a chatbot engaged in the unauthorized practice of law by generating legal advice, drafting filings, and influencing litigation strategy. The case raises foundational questions about liability, regulation, and whether existing legal frameworks can meaningfully apply to AI systems.

They also explore practical AI use cases and key takeaways from Legalweek 2026, including rising pressure to demonstrate ROI, rapid enterprise adoption, and the shift toward more advanced systems.

Topics discussed include:

• The facts and legal theories in Nippon Life v. OpenAI
• Unauthorized practice of law vs. product liability frameworks
• The limits of regulating AI through court decisions
• Legalweek 2026: ROI pressure and adoption trends
• Practical AI workflows using Claude Co-Work

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Artificial intelligence is beginning to reshape one of the most foundational areas of legal practice: contract law.

In this episode, Jen Leonard and Bridget McCormack are joined by Professor Dave Hoffman (University of Pennsylvania Law School) to explore how tools like Claude are influencing contract interpretation, legal research, and legal education. They discuss how AI can help judges interpret ambiguous language, what it means for the value of transactional lawyers, and why defining an “AI-ready” lawyer is harder than it sounds.

Topics Discussed

• Using Claude to analyze law journals’ AI policies at scale
• How AI can support judges in interpreting contract language
• The changing value of transactional lawyers in an AI-driven world
• How legal education is adapting to rapid technological change
• Rethinking legal judgment, training, and professional value

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AI recording tools can make lawyers more efficient—but what are the risks to confidentiality?

In this episode, Jen Leonard and Bridget McCormack examine how AI recording tools intersect with attorney–client privilege, professional responsibility rules, and the evolving skill demands of an AI-driven workforce.

Topics discussed include:

• How AI recording platforms may introduce third-party privilege risks
• State consent laws and the ethical limits of secret recording
• New York Bar Formal Opinion 2025-6 and deceptive practices
• Whether recording changes how clients communicate with their lawyers
• The risk of AI-generated summaries misinterpreting legal nuance
• A risk-based framework for deciding when (and when not) to record
• New Wharton–Accenture research on how AI is reshaping job skills and compensation

AI tools can improve legal work—but only when lawyers understand the boundaries that protect trust, competence, and confidentiality.

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As the legal profession enters 2026, the conversation about AI is shifting. It is no longer about awareness or early adoption. It is about measurable impact.

In this episode of AI and the Future of Law, Jen Leonard and Bridget McCormack are joined by Zach Abramowitz for a legal market check-in on AI agents, ROI, competitive pressure, and the widening divide between AI superusers and skeptics.

They discuss:

• The shift from AI assistants to AI agents
• Why 2026 is about measuring ROI, not experimentation
• The rise of AI-first firms and competitive pressure on traditional models
• Venture capital, private equity, and renewed conversations about external ownership
• The growing mindset divide within the profession

AI is no longer a side experiment in legal. It is becoming embedded in strategy, pricing, and firm structure.

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What happens when lawyers stop waiting for permission and start building with AI? Jen and Bridget explore the rise of creative associates and what tools like Claude Code reveal about the future of legal work. From agentic AI systems that refactor how coding gets done to junior lawyers who “vibe-code” solutions to everyday firm problems, this conversation looks at how innovation is increasingly bottom-up in law firms.

Topics covered include:

• Claude Code and agentic AI for knowledge work
• Why creative associates are driving real change
• Vibe coding and lowering the barrier to innovation
• Cultural shifts law firms need to support experimentation
• What this means for junior lawyers and legal training

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Can lawyers really trust AI—and what does “trust” mean in modern legal practice?

In this episode of AI and the Future of Law, hosts Jen Leonard and Bridget McCormack are joined by Gabe Pereyra, President and Co-Founder of Harvey AI, to explore how generative AI is moving from a productivity tool to core infrastructure for law firms.

Gabe explains how leading firms are deploying AI at scale, why hallucinations are no longer the central concern, and how governance, auditability, and human-in-the-loop systems shape real trust in legal AI. The conversation also dives into the future of the billable hour, lawyer training, and why AI is best understood as leverage—not labor replacement.

In this episode:

• When lawyers will trust AI systems
• Human-in-the-loop governance and supervision
• AI as law firm infrastructure, not just software
• Why the billable hour isn’t disappearing
• Training lawyers faster in an AI-first era

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