Thomson Reuters launched Thomson on August 24, its first proprietary large language model, a $40 million investment covering talent and compute, built on the open-weight Snowdon foundation model and t…
Thomson Reuters Corp. launched Thomson, its first proprietary large language model for legal work, combining its legal knowledge with outside LLMs, and will first deploy it in Tabular Analysis within …
Thomson Reuters launched Thomson, its first proprietary large language model, on Monday, developed in-house using an open-source foundation and trained on decades of proprietary content from Westlaw, …
Thomson Reuters is launching its own language model, Thomson, built on Alibaba's Qwen, at a cost of about $40 million over two years, aiming to own its AI instead of renting from OpenAI or Anthropic. …
Thomson Reuters announced on July 31 that its proprietary large language model, Thomson, now performs competitively with top frontier models, citing benchmark results where Thomson-1-Large outperforme…
Thomson Reuters announced early benchmarking results for its proprietary AI model, Thomson, which performs competitively with leading frontier models such as Claude Opus 4.8 and outperforms GPT-5.5, C…