EvenUp is Revolutionizing Personal Injury Law with Technology-Driven Justice

EvenUp, an AI-powered platform for personal injury law, led by Rami Karabibar, Raymond Mieszaniec, and Saam Mashhad, has secured $150 million Series E round led by Bessemer Venture Partners, with participation from REV, the venture capital arm of RELX, which owns LexisNexis Legal & Professional, B Capital, SignalFire, Adams Street, Premji Invest, Bain Capital, HarbourVest, Lightspeed, and Broadlight Capital. 

EvenUp continues its rapid growth in AI-powered personal injury law, securing multiple investor-backed rounds over two years and underscoring strong market confidence in its mission and momentum.

EvenUp’s Claims Intelligence Platform™, driven by its proprietary Piai™ model, leverages hundreds of thousands of injury cases and millions of medical records to operate at unmatched scale. Unlike traditional tools, the AI proactively drafts, reviews, and strategizes across the full case lifecycle, helping secure billions in settlements, compress timelines equivalent to thousands of years of prior resolutions, and freeing attorneys to focus on achieving optimal outcomes for clients.

EvenUp has already helped resolve over 200,000 cases, securing more than $10 billion in damages for injury victims. Its platform is now used by over 2,000 firms, including 20% of the Top 100 U.S. personal injury firms, with ARR doubling year-over-year, cementing EvenUp as the leading AI platform for modern personal injury law.

EvenUp’s latest AI products, launched earlier this year, now drive nearly 90% of new sales, demonstrating how rapid product innovation fuels growth. Covering the entire case lifecycle, from document generation to insights that accelerate settlements, these tools help firms achieve faster, better outcomes.

Building on this momentum, EvenUp introduced Mirror Mode, the first AI tool that lets firms replicate their best work across all document workflows. By uploading a winning draft, tailored versions can be instantly generated to mirror its language, style, and structure, enabling personalized, high-quality work at scale.