Thomson Reuters announced Thomson, a proprietary legal frontier model, on 24 August 2026. It began as Alibaba's open-weight Qwen 3.5 and was adapted with $40 million of talent and compute. The spend went to alignment, continued training on Westlaw, Practical Law, Checkpoint and Reuters, and tool-use reinforcement — not pre-training. That makes the corpus the asset and the weights the scaffolding, an arithmetic now available to any vertical incumbent sitting on a defensible archive.
Draft body lives in the Content JSON property.
It depends what 'proprietary' is claiming. Thomson Reuters owns and controls the resulting weights, the training data and the deployment, and it can run the model wherever it likes without a dependency on Alibaba. What it did not do is create the pre-trained base. Both statements are true simultaneously, and the company has been open about the second.
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