Robin AI wants to make lawyers faster by having AI read the boring parts of contracts. It was founded in 2019 by a Clifford Chance lawyer and a machine-learning researcher. The product is a legal copilot that lives right inside Microsoft Word, and the company says it can cut contract review time by up to 85%. Temasek led its Series B, and it has raised over $70 million. In a profession that still bills by the hour, selling speed is a bold pitch.
Founded
2019
HQ
London, United Kingdom
Total Raised
$71.7 million
Founder
Richard Robinson, James Clough
Status
Private
Website
www.robinai.comTHE ORIGIN STORY
Richard Robinson was a lawyer at Clifford Chance, one of London's biggest firms. He was tired of watching smart people spend nights reviewing contracts line by line.
James Clough was a machine-learning researcher at Imperial College. The two teamed up in 2019 to build software that could read contracts the way a junior lawyer does, only faster.
They named it Robin AI. The timing turned out to be perfect, because large language models were about to get very good.
WHAT THEY ACTUALLY DO
Companies have piles of contracts. Reading, drafting, and negotiating them eats enormous amounts of expensive legal time.
Robin AI sells software that does the grunt work. Its main product is an add-in for Microsoft Word that reviews and marks up contracts.
In-house legal teams and law firms pay a subscription to use it. The pitch is simple.
Pay Robin a fixed fee, spend far less on billable hours.
THE PRODUCTS
The flagship is Robin's legal copilot, a Microsoft Word add-in that reviews, drafts, and marks up contracts. There is also a search tool that lets teams pull answers out of an entire contract library by just asking a question in plain English.
Both run on a mix of Robin's own models and partners like Anthropic. The goal is one place where a legal team can handle the paperwork without drowning in it.
HOW THEY GREW
Robin AI leaned hard on the generative AI wave. It partnered with Anthropic and AWS to build on top of frontier models instead of training everything itself.
It put the product where lawyers already work, inside Word, so there was almost no new habit to learn. And it went after in-house legal teams at big companies first, where the pain of contract volume is worst.
The 85 percent time-saving claim became the whole sales hook.
THE HARD PART
Lawyers are careful people, and for good reason. A single missed clause can cost millions.
So the hard part is trust. Robin AI has to convince legal teams that an AI reading a contract will not skip the thing that matters.
There is also the money problem baked into the industry. Law firms earn on billable hours, so a tool that saves hours is a tough sell to the very people who bill them.
Robin's answer is to sell mostly to in-house teams, who want the opposite.
MONEY TRAIL
Series A
2023 · Led by Undisclosed
$11M raised
Series B
2024 · Led by Temasek
$26M raised
Series B Plus
2024 · Led by Undisclosed
$25M raised
WHO BACKED THEM
Temasek, Singapore's state investment giant, led Robin AI's $26 million Series B in January 2024. PayPal Ventures, Plural, and Quantum Light have also backed the company.
In November 2024 it added a $25 million Series B Plus, pushing total funding past $70 million. The backing signals that serious money believes legal AI is a real category, not just a demo.
Related Profiles
Companies
Anthropic
Robin AI builds on Anthropic's Claude models to power its contract review. It is one of the clearest examples of a startup renting frontier AI instead of training its own.
Casetext
Casetext built AI legal research and sold to Thomson Reuters for $650 million. It was an early proof that legal AI could be a real business, not a gimmick.
Harvey AI
Harvey is the other heavyweight in legal AI, backed by OpenAI. Both Robin and Harvey are betting that large language models can do the reading lawyers hate.
Head-to-Head
Compare Robin AI vs another company.