Gabe Pereyra is the co-founder and President of Harvey. Before Harvey, he was an AI researcher at Google Brain, DeepMind, and Meta, working on deep learning at both Brain and DeepMind in 2016 and 2017 as the field was taking off. Valued at $11B, Harvey has passed $300M ARR, 960 employees, 2,000 customers, and roughly 13 trillion tokens processed this month.

Harvey has raised over $1.2B to date from Sequoia, Kleiner Perkins, GV, Coatue, Elad Gil, the OpenAI Startup Fund, and GIC, with Sequoia and GIC co-leading the most recent $200M round at $11B.

Niko Grupen is Harvey's Head of Applied Research. Both he and Gabe led the open-sourcing of LAB, the Legal Agent Benchmark, the first open-source benchmark for measuring AI agent performance on real-world legal tasks. LAB covers 1,200+ tasks across 24 practice areas, built with agent-led data generation reviewed by Big Law attorneys. Initial frontier-model results from OpenAI, Anthropic, and DeepMind posted today, with Claude Opus 4.7 leading the leaderboard.

In this episode, Gabe and Niko sit down with Molly in Harvey's San Francisco speakeasy to break down what LAB measures, why Harvey gave the rubric to its biggest competitors, and what the early results show about long-horizon legal agents. Gabe goes deep on the token economics now hitting application-layer AI: single queries that cost $20, contract reviews that cost $20,000, and why he says Harvey is the largest embeddings consumer for some of the labs. He also covers the multi-model strategy, why open-source matters for law firm conflict risk, & the architectural shift from chat-based products to cloud agents.

Niko closes with the methodology behind LAB, how Harvey generates synthetic legal data with agent-led generation and lawyer review, and what's next for the open-source legal research community.

This is the second episode in Sourcery's Harvey series, following the last conversation with co-founder and CEO Winston Weinberg.

𝐄𝐏𝐈𝐒𝐎𝐃𝐄 𝐋𝐈𝐍𝐊

YouTube: ⁠https://youtu.be/NpZbum0lmlI

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