In this episode, Jen Leonard and Bridget McCormack are joined by John Nay, founder and CEO of Norm AI and Norm Law, for a conversation about agentic law, AI-native legal services, and what it means to build legal work around agents rather than copilots.
John explains how legal and regulatory reasoning can be embedded into AI agents, allowing them to perform first-pass work, learn from prior matters, and create compounding value over time. The conversation also explores how Norm Law combines attorneys, legal engineers, software engineers, and AI engineers; why client-specific knowledge can become persistent; and how outcome-based pricing may change the business model of legal services.
The episode also examines client trust, human supervision, experienced legal talent, and the Legal AGI Lab’s research into how AI agents may be evaluated, benchmarked, and governed by law.
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