Zhipu releases GLM-Legal, leading open-weight models on two legal benchmarks
智谱新模型，懂法方面全球第一了
What happened
Zhipu released GLM-Legal, an open-source legal model that reportedly leads open-weight models on Harvey LAB and LegalBench, with a 19.2% task pass rate and 86.23% accuracy, respectively. Built on GLM-5.3-Flash, it combines legal mid-training with reinforcement learning across tens of thousands of legal task environments. Official demonstrations cover contract review, evidence analysis, and cross-border privacy compliance; Zhipu is inviting legal professionals to apply for its Beta and plans to integrate related capabilities into AutoClaw.
Why it matters
Harvey LAB’s requirement to satisfy every scoring condition helps contextualize GLM-Legal’s reported lead, since its 19.2% pass rate also indicates that most tasks fell short of meeting all requirements.
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