Official Z.ai platform to experience our new, MIT-licensed GLM models (Base, Reasoning, Rumination). Simple UI focuses on model interaction. Free.
This is the 17th launch from Z.ai. View more
GLM-Legal
Launched this week
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
Free Options
Launch Team
Tines The single, secure environment for agents, apps, and automations.
Promoted
Claude by Anthropic
GLM-Legal is Z.ai’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: Z.ai took its GLM-5.3-Flash model and trained it for legal tasks. Per Z.ai, 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. Z.ai 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: Z.ai 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.
Read Z.ai’s announcement · See the Vals AI results · Apply for API access
@rohanrecommends 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
wait how much is the api pricing going to be when it leaves beta actually need to know for a project.
Run your state case law through it first before trusting the compliance research output The training data probably skews heavily toward federal courts and might miss subtle jurisdictional differences entirely
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?