Crosby Raises $60M Series B to Accelerate AI-Powered Legal Workflows

Legal used to move like it had all the time in the world. Sales did not. That tension has killed more momentum than bad product ever could, and Ryan Daniels saw it up close, one contract at a time, until the pattern wasn’t just obvious, it was unacceptable.

Fast forward, and Crosby just pulled in $60M in Series B funding, co-led by Lux Capital and Index Ventures, with Sequoia Capital, 01 Advisors, Bain Capital Ventures, and Elad Gil all leaning in like they’ve seen this movie before and know how it ends. Not with paperwork piling up, but with velocity.

Big salute to Ryan Daniels, Co-founder and CEO, and John Sarihan, Co-founder and CTO, for building something that doesn’t pretend legal is glamorous, just makes it finally move at the speed of business.

Crosby isn’t selling software that waves at the problem. It is the law firm. Licensed attorneys paired with AI systems that chew through MSAs, NDAs, and DPAs like they’ve got somewhere to be. Median turnaround time clocks in around 58 minutes. That’s not a typo, that’s a warning shot.

About 13,000 contracts reviewed. Revenue up roughly 4x since October 2025. Customers like Cursor, Clay, and UnifyGTM aren’t here for aesthetics. They are here because deals don’t wait for tradition to catch up.

And here’s where it gets interesting. Crosby didn’t win by replacing lawyers. It won by respecting the craft and removing the drag. AI handles the repetition, attorneys bring judgment, and suddenly “legal bottleneck” starts sounding like an outdated excuse instead of a business reality.

Fixed, per-document pricing seals the deal. No ticking clock, no mystery invoice, just output. In a world where sales cycles are measured in days, not quarters, that shift feels less like innovation and more like overdue maintenance.

Investors didn’t pile into this because it sounds cool at dinner. They see an $18B lane where speed and accuracy were never supposed to coexist. Crosby just decided that was optional.

The real takeaway is quieter. When a system compounds learning across thousands of contracts, it doesn’t just get faster, it gets sharper. That’s not automation for convenience. That’s leverage.