Is the legal AI race still a two-horse battle, or has a new contender changed everything? In this episode, Zach speaks with Richard Tromans, founder of Artificial Lawyer, about the rapid rise of Claude and what it means for the broader legal tech ecosystem. They unpack how frontier model providers are reshaping the market, why law firms are experimenting with multiple AI tools at once, and whether general-purpose AI could start replacing legal-specific platforms. The conversation also explores shifting buying behavior in law firms and in-house teams, the real “moats” in legal AI, and why recent hallucination controversies may say more about legal workflows than the technology itself.

In this episode:

• Why Claude is suddenly at the center of the legal AI conversation

• How general-purpose AI tools could disrupt legal tech spending

• The real competitive moat in legal AI: brand, trust, and distribution

• Why law firms are adopting multiple AI models instead of picking one

• What AI hallucination cases reveal about legal workflows - not just the tech

Recording at LegalWeek in New York, Zach sits down with Shlomo Klapper (founder of Learned Hand) and Bridget McCormack, former Chief Justice of the Michigan Supreme Court and now CEO of the American Arbitration Association, to challenge one of the biggest double standards in legal AI: “AI for me, but not for thee.” Lawyers are now widely using AI, but the moment it touches judges or arbitrators, support drops off.

That hesitation comes as courts are under real strain, with judges handling thousands of cases a year and only minutes to decide each one, and no realistic way to keep up. Shlomo describes Learned Hand’s “AI law clerk,” built to support judicial research, analysis, and drafting, while Bridget brings the perspective of someone who has both made decisions on the bench and now leads a major dispute resolution institution. The conversation moves beyond AI as an assistant and into a harder shift: AI as part of decision-making itself, and whether the system can continue to function without it.

What does it actually look like to go from practicing law to building the future of legal AI? In this episode, Zach speaks with Kyle Poe, former Big Law partner and now a leader at Legora, about his unconventional path from litigation to legal tech. Kyle shares how early frustrations with outdated legal workflows pushed him to build internal tools, why generative AI changed everything, and what it really takes to break into the legal AI space today. They also dive into how billing models are evolving, the emergence of the “legal engineer,” and why relationships and adaptability may matter more than ever in an AI-driven legal industry.

In this episode:

• How Kyle transitioned from Big Law to a leading role in legal AI

• Why generative AI is a true inflection point for legal practice

• The emergence of the “legal engineer” and new career paths for lawyers

• What lawyers get wrong about breaking into legal tech—and how to do it right

• How AI is shifting legal careers toward relationships, adaptability, and high-agency work