Thomson Reuters Deploys In-House Legal LLM 'Thomson' on Qwen Foundation to Cut API Dependency
Thomson Reuters has unveiled "Thomson," its first proprietary domain-specific language model built specifically for legal workflows. Developed over two years at an investment of roughly $40 million in engineering and compute infrastructure, the model is designed to perform specialized legal analysis without ongoing dependence on third-party frontier API providers like OpenAI or Anthropic. The model is built on top of Alibaba's open-weight Qwen architecture, utilizing Qwen3.5-397B as its foundat
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