Z.ai’s legal AI model for contract review and compliance
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
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.
“Z.ai’s legal AI model for contract review and compliance”
GLM-Legal launched on Product Hunt on October 15th, 2026 and earned 127 upvotes and 2 comments, earning #3 Product of the Day. 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
On the analytics side, GLM-Legal competes within Legal and Artificial Intelligence — topics that collectively have 487.3k followers on Product Hunt. The dashboard above tracks how GLM-Legal performed against the three products that launched closest to it on the same day.
Who hunted GLM-Legal?
GLM-Legal was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Rohan Chaubey
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