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.
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?
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
wait how much is the api pricing going to be when it leaves beta actually need to know for a project.
About GLM-Legal on Product Hunt
“Z.ai’s legal AI model for contract review and compliance”
GLM-Legal launched on Product Hunt on October 15th, 2026 and earned 201 upvotes and 5 comments, placing #4 on the daily leaderboard. 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 was featured in Legal (6.3k followers) and Artificial Intelligence (481.8k followers) on Product Hunt. Together, these topics include over 135.6k products, making this a competitive space to launch in.
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.
Want to see how GLM-Legal stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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