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Public story · 2026-08-26 · high
Thomson Reuters released Thomson-1.0-Small under a restrictive Polyform-Strict license, despite a 79.9% score on Stanford LegalBench.
Why now: The model card and benchmark numbers are up on Hugging Face, the latest sign Thomson Reuters is choosing continued training over pretraining from scratch.
Thomson Reuters built its newest legal AI model, Thomson-1.0-Small, by continuing to train Qwen's open weights instead of pretraining from scratch.
The approach cost more than $40 million. It signals that even a company sitting on decades of Westlaw and Practical Law text found more value adapting a model than building one from scratch.
The model is a 35 billion parameter mixture-of-experts with 3 billion active per token, built from Qwen3.6-35B-A3B. Thomson Reuters trained it on case law, contracts, statutes and practitioner guidance from Westlaw and Practical Law, using less than 10% of its legal corpus.
It scored 79.9% on Stanford LegalBench and averaged 74.6% across its full benchmark suite.
Thomson Reuters open-weighted the small version under a restrictive Polyform-Strict license.
One objection on r/LocalLLaMA argues domain models should learn how a field works, then retrieve aggressively. Baking case knowledge into a model's weights makes it stale the day the law changes.
Retrieval ages better than memorization here, and I'd bet Thomson Reuters retrains this model before Qwen ships its next one.
Each link below shares sources, entities, or timing with this story.
Alibaba released Qwen / Shared entities / Same source domain / Earlier coverage / Tension
Linked by a graph relationship (Alibaba released Qwen); both cover LocalLLaMA, MoE, Qwen, Qwen3; reported by the same outlet (huggingface.co).
Qwen competes with Meta / Shared entities / Same source domain / Earlier coverage
Linked by a graph relationship (Qwen competes with Meta); both cover LocalLLaMA, MoE, Qwen, Qwen3; reported by the same outlet (huggingface.co).
Alibaba released Qwen / Shared entities / Earlier coverage / Tension
Linked by a graph relationship (Alibaba released Qwen); both cover LocalLLaMA, MoE, Qwen, Qwen3; earlier LocalLLaMA coverage from 2026-04-21.
DFlash uses Qwen / Shared entities / Same source domain / Earlier coverage
Linked by a graph relationship (DFlash uses Qwen); both cover LocalLLaMA, MoE, Qwen3; reported by the same outlet (huggingface.co).
Alibaba released Qwen / Shared entities / Same source domain / Earlier coverage
Linked by a graph relationship (Alibaba released Qwen); both cover LocalLLaMA, MoE, Qwen, Qwen3; reported by the same outlet (huggingface.co).
Qwen competes with Meta / Shared entities / Earlier coverage
Linked by a graph relationship (Qwen competes with Meta); both cover LocalLLaMA, MoE, Qwen; earlier LocalLLaMA coverage from 2026-05-01.
Ollama supports Qwen / Shared entities / Earlier coverage
Linked by a graph relationship (Ollama supports Qwen); both cover LocalLLaMA, MoE, Qwen; earlier LocalLLaMA coverage from 2026-04-05.
Qwen competes with Meta / Shared entities / Same source domain / Earlier coverage
Linked by a graph relationship (Qwen competes with Meta); both cover MoE, Qwen; reported by the same outlet (huggingface.co).