EvenUp
AI demand-letter and case workflow platform built only for personal injury firms
What is EvenUp?
EvenUp is a vertical AI platform built specifically for personal injury law, automating intake, medical-record review, demand-letter generation, settlement negotiation support, and litigation prep. It draws on a proprietary dataset of 250,000+ verdicts and settlements (Piai) to value cases and draft demands. Currently processes around 10,000 cases per week across 2,000+ PI firms.
Legal AI, contract review, legal operations, e-discovery, practice management, and compliance tools.
See the full Legal AI guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Generating a complete demand package with medical timeline and damages summary from raw records
Tracking client treatment progress and chasing missing medical records automatically
Benchmarking settlement value against EvenUp's 250K+ verdict and settlement dataset
Drafting motions, briefs, and interactive chronologies during the litigation phase
Fit to evaluate
Plaintiff-side personal injury firm partners scaling case throughput without hiring paralegals
PI firm COOs measuring cycle time from intake to demand
Mass-tort and MVA-focused practices processing hundreds of similar matters
Litigation directors at PI firms preparing trial chronologies and motions
Business fit
Right for you if you run a personal injury firm and want to automate medical chronologies, demand packages, and discovery rather than outsourcing them. Right for you if you need HIPAA and SOC 2 controls because you handle PHI on every case. Skip if your practice isn't plaintiff-side personal injury, since the dataset and workflows are tuned narrowly to that vertical. Skip if you prefer to keep demand-writing fully in-house with paralegals and don't want AI in the loop.
How to evaluate EvenUp
Use this category when legal document volume, review speed, or research workload is creating bottlenecks.
Confirm the exact workflow
Map EvenUp to one concrete workflow first, such as generating a complete demand package with medical timeline and damages summary from raw records. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare legal data handling, review controls, citations, and matter workflows.
Compare practical alternatives
Shortlist EvenUp against Harvey, Legora, Spellbook so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
EvenUp does not publish pricing. Engagement goes through a Sales contact form; pricing is typically per-demand or per-case based on volume and firm size, with no public dollar figures on the contact page. Also confirm implementation time, support needs, and whether the medium setup matches your team.
Compare EvenUp with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Generating a complete demand package with medical timeline and damages summary from raw records, Tracking client treatment progress and chasing missing medical records automatically |
|---|---|
| Best-fit team | Plaintiff-side personal injury firm partners scaling case throughput without hiring paralegals, PI firm COOs measuring cycle time from intake to demand |
| Implementation effort | Medium setup and maintenance profile |
| Pricing check | Contact sales |
| Closest alternatives | HarveyLegoraSpellbookPaxton AI |
EvenUp pricing
| Model | Contact sales |
|---|---|
| Snapshot | EvenUp does not publish pricing. Engagement goes through a Sales contact form; pricing is typically per-demand or per-case based on volume and firm size, with no public dollar figures on the contact page. |
| Checked |
Common questions about EvenUp
What is EvenUp?
EvenUp is a vertical AI platform built specifically for personal injury law, automating intake, medical-record review, demand-letter generation, settlement negotiation support, and litigation prep. It draws on a proprietary dataset of 250,000+ verdicts and settlements (Piai) to value cases and draft demands. Currently processes around 10,000 cases per week across 2,000+ PI firms.
What is EvenUp used for?
Common use cases: Generating a complete demand package with medical timeline and damages summary from raw records; Tracking client treatment progress and chasing missing medical records automatically; Benchmarking settlement value against EvenUp's 250K+ verdict and settlement dataset; Drafting motions, briefs, and interactive chronologies during the litigation phase.
How much does EvenUp cost?
EvenUp does not publish pricing. Engagement goes through a Sales contact form; pricing is typically per-demand or per-case based on volume and firm size, with no public dollar figures on the contact page.
Who is EvenUp best for?
EvenUp fits Plaintiff-side personal injury firm partners scaling case throughput without hiring paralegals, PI firm COOs measuring cycle time from intake to demand, Mass-tort and MVA-focused practices processing hundreds of similar matters, Litigation directors at PI firms preparing trial chronologies and motions. Right for you if you run a personal injury firm and want to automate medical chronologies, demand packages, and discovery rather than outsourcing them. Right for you if you need HIPAA and SOC 2 controls because you handle PHI on every case. Skip if your practice isn't plaintiff-side personal injury, since the dataset and workflows are tuned narrowly to that vertical. Skip if you prefer to keep demand-writing fully in-house with paralegals and don't want AI in the loop.
What are alternatives to EvenUp?
Common alternatives to EvenUp include Harvey, Legora, Spellbook, Paxton AI, Robin AI, Ironclad.