Building Harvey With Gabe Pereyra: Ethical Walls, Agents, and What AI Can Unlock For Law Firms
About this episode
Tomer Cohen interviews Gabe Pereyra about the challenges and opportunities of integrating AI into the legal industry.
What happens when AI enters a world where being wrong isn’t an inconvenience — it’s a liability? In this episode of Building One, Tomer Cohen sits down with Gabe Pereyra, co-founder of Harvey, to explore what it actually takes to build AI for one of the most complex and high-stakes industries in the world: legal. Harvey works with leading law firms and enterprises to draft, analyze, and reason through complex legal work — contracts, filings, cases, and internal workflows where precision, accountability, and trust are non-negotiable. On paper, legal is a perfect domain for AI.It’s language-heavy. Logic-heavy. High value. In reality, it’s one of the hardest. Every word matters.Every output has consequences.And “almost right” doesn’t count. In this conversation, Tomer and Gabe discuss: Why the hardest problem in AI today isn’t intelligence — it’s coordination What makes vertical AI companies like Harvey durable as foundation models improve Why legal systems must be auditable, permissioned, and accountable How conflicts and data isolation create unique infrastructure challenges in legal AI Why the future of work may look less like individuals using tools — and more like teams of…
People in this episode
Host: Tomer Cohen
Guest: Gabe Pereyra
Topics covered
- AI in law
- legal technology
- coordination in AI
- vertical AI companies
- human-AI collaboration
- auditable systems
Keywords
- AI
- legal
- Harvey
- coordination
- trust
- human review
- vertical AI
- accountability
Mentioned in this episode
Organizations: Harvey, LinkedIn
Places: legal
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