# Thomson 1: The New $40M Legal AI Model | Thomson Reuters Joel Hron

Page: https://stenobird.com/podcast/chain-of-thought-ai-agents/thomson-1-the-new-40m-legal-ai-model-thomson-reuters-joel-hron
Text version: https://stenobird.com/podcast/chain-of-thought-ai-agents/thomson-1-the-new-40m-legal-ai-model-thomson-reuters-joel-hron.md
Podcast: [Chain of Thought | AI Agents, Infrastructure & Engineering](https://stenobird.com/podcast/chain-of-thought-ai-agents)
Published: 2026-08-24T13:01:00+00:00
Episode link: https://share.transistor.fm/s/5ef72d7c
Audio file: https://media.transistor.fm/5ef72d7c/b7f578b0.mp3
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Duration seconds: 3236

## Resource

Joel Hron, CTO of Thomson Reuters, breaks down how the 175-year-old company trained its own legal AI model, Thomson, for around $40 million by stacking proprietary content and expert judgment on open-source foundations. He explains why owning the model layer beats renting frontier intelligence, and how a rebuilt CoCounsel jumped from 25% to over 70% accuracy.

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## Transcript

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