This week we welcome Jiyun Hyo, co-founder and CEO of Givance, for a conversation about moving legal AI past shiny summaries toward verified work product. Jiyun’s path runs from Duke robotics, where layered agents watched other agents, to clinical mental health bots, where confident errors carry human cost. Those lessons shape his view

Artificial intelligence has moved fast, but trust has not kept pace. In this episode, Nam Nguyen, co-founder and COO of TruthSystems.ai, joins Greg Lambert and Marlene Gebauer to unpack what it means to build “trust infrastructure” for AI in law. Nguyen’s background is unusually cross-wired—linguistics, computer science, and applied AI research at Stanford

 
I’ve been watching the legal-tech landscape for a long time, and this morning’s announcement from Thomson Reuters’ partnership with DeepJudge marks a moment worth pausing over. (DeepJudge) On October 22, 2025, TR disclosed that DeepJudge’s enterprise-search and AI-knowledge-platform capabilities will be integrated into TR’s CoCounsel Legal offering to bring internal-firm knowledge and external

The promise of generative artificial intelligence (AI) in legal practice is seductive: speed up document review, contract drafting, legal research, and thereby shave down hours billed. Yet the reality for many law firms is different. A recent survey by the Association of Corporate Counsel (ACC) and Everlaw found that nearly 60% of in-house counsel reported

This week we are joined by Anusia Gillespie, Enterprise Lead at vLex and debut novelist, as she shares her unique vantage point on the intersection of legal technology and the human side of law. Anusia traces her journey from commercial real estate finance attorney to global innovation leader, with roles at Harvard, UnitedLex, and

This week, we talk with Gabe Pereyra, President and co-founder at Harvey, about his path from DeepMind and Google Brain to launching Harvey with Winston Weinberg; how a roommate’s real-world legal workflows met early GPT-4 access and OpenAI backing; why legal emerged as the right domain for large models; and how personal ties to the