EvenUp
AI / LLMEnterpriseVisit Site
AI for personal injury firms across the whole case — intake scoring, medical chronologies, demand drafting, negotiation, discovery, and trial prep.
Overview
Plaintiff personal injury is the legal niche where AI has the clearest economics, because the work is high-volume, document-heavy, and paid on contingency — every hour saved on a demand package is margin. EvenUp covers the case end to end rather than selling one document type: Intake scores and spots high-value files, Treatment recovers records and builds the care timeline, Demands drafts the package, Negotiation supports settlement, and the litigation side adds Discovery, chronologies, motions, and briefs. Companion is the assistant layer, integrated with Lexis+. The claimed outcomes — 300 percent improvement in settlement results, 75 percent faster attorney review — are vendor-reported and should be treated as marketing until you run your own comparison on closed files. The real evaluation question is not drafting quality but records handling: ask exactly how medical records are ingested, where PHI lives, and what the retention policy is, because that is the part your malpractice carrier will ask about.
Pros & Cons
Pros
- Covers pre-litigation and litigation, not just demand letters
- Medical chronology construction is the genuinely hard, valuable part
- Case-level analytics give partners real throughput visibility
- Lexis+ integration through Companion
- Economics fit contingency practice — time saved is margin
Cons
- No published pricing
- Narrow vertical — no use outside plaintiff personal injury
- Vendor-reported settlement improvements are unaudited
- Handling of medical records and PHI needs its own diligence pass
- Attorney review and sign-off is still required on every output
Workflows that use EvenUp
Get a new AI workflow each week — many feature EvenUp and other tools in this category.