Thomson Reuters’ New Model Could Inspire Other SaaS Vendors

Information services vendor Thomson Reuters launched its own proprietary model on Monday, which it said it trained at less than half the cost of other frontier AI models. The release shows what is possible for SaaS vendors like Thomson Reuters that are looking to capitalize on the AI market.

Developed in-house, Thomson was built on the vendor’s proprietary content -- with a focus on legal information -- technology and domain expertise. The model starts with a base model called Snowdon, developed by the FAIR Lab at Imperial College London.

Thomson Reuters, based in Toronto, frames its model, Thomson, as comparable to the strongest frontier models on the market, including Claude Opus 4.8, GPT 5.5 and Gemini 3.1 Pro. The new model comes after SaaS vendors in the legal information services sector were shaken following Anthropic's release of Claude Cowork plugins in February.

In addition to law, Thomson Reuters is aiming the new model at professionals in fields such as accounting and other compliance-related areas.

Thomson Reuters said the model's origin also dates to its acquisition of Safe Sign Technologies in 2024. Safe Sign was a U.K. AI startup that developed legal-specific large language models (LLMs). The startup’s staff became Thomson's foundational research team.

The Model Could Spur Others

“This could be an inspirational model for other institutions that are also sitting on top of massive reserves of intellectual property and capital,” said Michael G Bennett, associate vice chancellor for data science and AI strategy at the University of Illinois Chicago.

He added that for vendors, especially for organizations with data that has not been absorbed by frontier model makers, creating their own model for commercial use may make sense.

An Inexpensive Endeavor

“Their expense was probably on the order of one or two magnitudes less than what it would take to build a model from the ground up,” Bennett said.

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