The whole dayMon 12 Oct 2026
AI Compass

Z.ai introduces GLM-Legal, a model for legal work built on GLM-5.3-Flash

Z.ai reports a 19.2% all-pass rate on Harvey’s Legal Agent Benchmark, 12.5 points above GLM-5.3-Flash.

Logo: Z.aiCover by AI Compass

Z.ai pitches GLM-Legal, which is in beta, at everyday legal work such as reviewing contracts, analysing evidence and compliance. It says the model matches frontier closed-source models on LegalBench and on PLawBench, a test of Chinese legal practice, while being much smaller.

GLM-Legal scores highest on Harvey’s Legal Agent Benchmark, 19.2 against 6.7 for GLM-5.3-Flash. It scores 86.2 on LegalBench, behind Claude Fable 5 and GPT-6 Astra, and 77.3 on PLawBench, behind Claude Fable 5 but ahead of GPT-6 Astra at 69.1
Z.ai’s legal benchmark results for GLM-Legal and four other modelsImage: Z.ai

Vals, which tested GLM-Legal independently, ranks it seventh of 79 models on Harvey’s benchmark and 14th of 150 on LegalBench.

Z.ai built the model with extra training on legal material, followed by reinforcement learning, in which the model is rewarded for good results, across tens of thousands of lifelike legal tasks. It says GLM-Legal is coming to AutoClaw, its desktop agent platform, without giving a date. Its examples include a contract review delivered as tracked changes and comments in Word, an analysis of 40 documents from a software project dispute, and a privacy compliance plan for a website launching in Singapore, Malaysia and Indonesia.

Correction, 13 Oct: an earlier version of the benchmark chart’s description said GLM-Legal was close to GPT-6 Astra on PLawBench; it is ahead, at 77.3 against 69.1.

Sources

  1. PrimaryGLM-Legal: Advancing Agentic Legal Intelligencez.ai · Z.ai technical blog
  2. PressGLM Legal Benchmarks, Cost and Capabilitiesvals.ai · Vals AI, independent evaluation
  3. On X@Zai_org on X: introducing GLM-Legalx.com

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