Thomson Reuters Taps Decades of Content to Train AI

Thomson Reuters Taps Decades of Content to Train AI --> By PYMNTS | August 27, 2026 Share: --> | Listen to Article Listen Pause --> Thomson Reuters has launched a proprietary large language model that the company developed in-house and trained on its decades of content from Westlaw , Practical Law , Checkpoint and Reuters , the company said in a Monday (Aug. 24) press release . Get the Full Story Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. yes Subscribe to our daily newsletter, PYMNTS Today. By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions . Δ Dubbed “Thomson,” the LLM began with an open-source foundation and was trained on the company’s proprietary content and domain expertise, according to the release. As a result, Thomson is fully controlled by Thomson Reuters and does not have the inference costs of typical frontier models, the release said. In addition, Thomson Reuters designed the LLM for professionals with duties of care and accountability, and the company does not use customer data to train the model without explicit consent, per the release. We’d love to be your preferred source for news . Please add us to your preferred sources list so our news, data and interviews show up in your feed. Thanks! Add as Preferred Source Thomson Reuters CEO Steve Hasker said in the release that the company is initially putting Thomson to work in CoCounsel Legal and plans to keep adding capabilities and sovereign AI options. The company said in the release that its plans include capabilities across the legal and tax portfolio. “Thomson proves what’s possible when you build AI on decades of proprietary content and editorial expertise,” Hasker said. “That’s an advantage only Thomson Reuters has, and it shows in the results: our early evaluations put Thomson on par with the latest frontier models across a range of tasks.” Thomson Reuters Chief Technology Officer Joel Hron said in the release that Thomson shows that there is an alternative to “bigger models, more compute, more money.” “Start with a strong foundation, specialize it deeply for the work that matters, and you can build intelligence that is highly capable, far more efficient and entirely under your control,” Hron said. “We think that changes the economics of professional AI.” Hasker told the Financial Times in March 2024 that Thomson Reuters had amassed $8 billion to invest in the AI space and planned to expand in the realm of AI-driven professional services . Over the previous two years, Thomson Reuters had changed from a content provider into a “content-driven” tech company, the report said. Thomson Reuters debuted CoCounsel, an AI platform designed to help professionals automate complex workflows, in June 2025. The company said CoCounsel integrates with professional applications to plan, reason and act across tasks while maintaining audit trails and data controls. By February, Thomson Reuters said that CoCounsel had been adopted by 1 million professionals across 107 countries. Recommended Thomson Reuters Taps Decades of Content to Train AI Meta Tests Hatch AI Assistant That Can Fill Out Forms and Buy Products B2B Pricing Power Changes When Software Can Prove Its Own ROI Bitcoin Climbs Past $80,000 as Wall Street Returns See More In: AI , AI models , News , PYMNTS News , Thomson Reuters , What's Hot