EvenUp applies AI to personal injury law's core economic problem: insurers systematically underpay claims that are poorly documented. Its AI turns medical records and case files into comprehensive, precedent-backed demand packages that command full value.

Upload the case file, medical records, bills, police reports, and EvenUp's system, trained on hundreds of thousands of injury cases and verdicts, extracts every injury, treatment, and damage, then drafts a polished demand letter with valuations grounded in comparable outcomes. Its Claims Intelligence platform extends beyond demands into medical chronologies, case preparation, and negotiation support, giving plaintiff firms the documentation muscle that defense-side insurers have always had.

The company's litigation-quality outputs are reviewed by in-house legal professionals before delivery, a human-in-the-loop model that keeps quality courtroom-safe.

Who is it for?

Personal injury firms of every size, especially high-volume practices where demand prep bottlenecks settlements, and contingency firms that win by maximizing documented case value per hour.

How much does EvenUp cost?

Pricing is custom, typically per-demand or subscription-based by firm volume, arranged through a demo. Firms evaluate it against paralegal hours and, more importantly, uplift in settlement values.

Our verdict

EvenUp is one of legal AI's clearest value stories: better documentation demonstrably moves settlement numbers. For plaintiff practices, it functions less like software and more like a revenue multiplier.