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GLM-Legal - Z.ai’s legal AI model for contract review and compliance

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LM-Legal is Z.ai’s legal AI model, built on GLM-5.3-Flash and trained for agentic legal work like contract review, evidence analysis, and compliance research. Z.ai added legal mid-training, then reinforcement learning across tens of thousands of legal task environments. It passes 19.17% of tasks on Harvey’s Legal Agent Benchmark per Vals AI, up from 6.67% for the base model. API access is application-only beta

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GLM-Legal is ’s legal AI model, built on GLM-5.3-Flash and trained for agentic legal work. That means multi-step tasks like contract review, evidence analysis and compliance research. It’s in an application-only API beta.

Problem: Legal work is long, detailed and unforgiving. A contract review or compliance check has many steps, and one missed point can sink the result. General-purpose models often fall short on that kind of multi-step legal work.

Solution: took its GLM-5.3-Flash model and trained it for legal tasks. Per , that meant legal mid-training on a larger corpus, then reinforcement learning across tens of thousands of legal task environments. It built the agent harness alongside the model, so the two were improved together.

How it performs:

  • Harvey’s Legal Agent Benchmark: 19.17% of tasks passed, up from 6.67% for the base model. A task only passes if every one of its criteria passes, so even the top scores are low in absolute terms.

  • LegalBench: 86.23%, versus 88.56% for Claude Fable 5. says it matches frontier models here, but its numbers show it slightly behind.

  • Cost: about $0.15 per Harvey LAB test on Vals AI’s runs, much lower than the other models compared. The price Vals used isn’t a published GLM-Legal price.

Access:

  • API: It’s an application-only beta, with no published price

  • Weights: no public weights reported, and no Hugging Face repo yet

  • Desktop: says it’s coming to its AutoClaw desktop agent app, with no date given

Who it’s for: law firms, in-house counsel and compliance teams exploring AI for legal workflows. This is a tool for professionals and doesn’t replace legal advice or a lawyer.

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 Interesting man! I love the fact that a task only passes if all criteria passes fully.

Does GLM-Legal point to the source/ root arguments behind each finding/ decision?

That would decide if a legal professional trusts the output or no

owned media is just the starting point now. since LLMs rely heavily on consensus, do you think newer brands can build that external footprint organically, or is structured PR practically required these days?