Legora is building the agentic operating system for legal work
Oct 28, 2026, 2:30 AM · OpenAI

Legora's numbers are striking, but this is an OpenAI customer story, and the more interesting claim is that AI lets lawyers read everything instead of a sample.
Why it matters
In a case study published by OpenAI, Stockholm-founded legal AI company Legora says its own legal team cut time spent reviewing NDAs from about 20% of capacity to under 1%. It says one Fortune 100 customer reduced contract turnaround by 90%, saved more than $20 million on external litigation and diligence, and got back 9.5 hours per lawyer per week.
OpenAI models power core Legora workflows, from agentic legal work to large-scale document review, and Legora uses ChatGPT Work and Codex internally.
From the desk
Let's be clear about the source first. This is a vendor showcase from OpenAI about a customer, and the headline figures come from Legora's leadership, not an independent audit. That doesn't make them wrong. It does mean we read them as claims.
With that caveat, the part we find most compelling isn't the speed. It's breadth. In traditional due diligence, time and cost force teams to dig deeply into only the most valuable contracts. Legora says its Tabular Review workflow can analyze thousands of contracts across many questions in minutes, so risks hiding in the documents nobody had time to read can surface for a lawyer to judge. That's a real quality argument, not just an efficiency one, and it's the kind of useful AI we want to see more of.
The engineering anecdotes point the same way. Legora's CTO says coding agents let the team explore many approaches in parallel and sometimes go from bug report to fix in about five minutes. That pace is plausible for an AI-native company, and it's a preview of how software firms in every vertical will operate.
Now the harder questions. Legal work is where errors are expensive and accountability is personal. The model Legora describes keeps lawyers reviewing and interpreting agent output, which is the right design, but overnight diligence across millions of pages, as the CTO envisions, raises the stakes on that review. If humans are handed conclusions at scale, the risk is rubber-stamping. And we'd watch what happens to junior lawyers whose traditional training ground was exactly the contract review now being automated. Freeing them for higher-value work is the promise. Fewer entry points into the profession is the possible cost.
Context
Legora was founded in Stockholm in 2023. Its general counsel says the company grew from three offices to 18 in the past year, completed three financing rounds, and made five acquisitions. Legora also offers a plugin for ChatGPT that brings its capabilities into ChatGPT conversations.
Who feels it
- Law firms and legal departments
- Broader contract coverage in diligence could change what thorough review means, and what clients expect.
- Junior lawyers
- Routine review work that once built skills is increasingly handled by agents, shifting how early-career lawyers learn.
- Clients
- Faster turnaround and lower outside counsel costs, if the claimed results generalize.
- OpenAI
- Legal is a showcase vertical for its models and coding agents, with Legora as a reference customer.
What to watch
- Independent evidence of quality and error rates in AI-assisted legal review
- Longer-running overnight diligence agents moving from vision to product
- How bar associations and courts treat AI-reviewed work product
- Whether competitors publish comparable, verifiable customer outcomes
Companies: OpenAI