
Key Takeaways
- EvenUp is an AI platform built for personal injury law firms.
- It automates intake, demand letters, discovery, and case analysis.
- It draws on a dataset of 250,000+ verdicts and settlements.
- Great for PI firms cutting manual work and building stronger cases.
EvenUp is an AI platform built specifically for personal injury law — not general legal AI adapted to the field, but a system designed around how PI firms actually work. It automates the case lifecycle: spotting high-value cases at intake, tracking treatment and recovering missing records, drafting demand letters in minutes, and supporting discovery and trial. Backed by a huge dataset of verdicts and settlements, it targets the specific grind of personal injury practice.
What is EvenUp?
EvenUp is a proactive AI platform for personal injury law firms that automates and streamlines the case lifecycle from intake through litigation and trial. In the pre-litigation stage it offers AI-powered intake that identifies high-value cases, treatment tracking with missing-document recovery (the company cites averages around $1,500 recovered per case), demand-letter generation in minutes, and negotiation assistance including defense-argument preparation. In litigation it supports discovery document creation and responses, interactive medical chronologies for trial, and motion and brief drafting. The platform cites processing many times more cases in the same time and cutting 9-plus hours of manual work per case, and it draws on a dataset of 250,000-plus verdicts and settlements. It is SOC 2-audited and HIPAA-attested. EvenUp reports serving 2,000-plus personal injury firms, from solo practitioners to larger operations, and recently raised a large funding round at a multibillion-dollar valuation. Pricing is arranged with the company.
What it does well
- PI-specific: built around personal injury workflows.
- Demand letters: drafted in minutes, not days.
- Data-backed: 250,000+ verdicts and settlements.
- Compliant: SOC 2-audited and HIPAA-attested.
Who it is for
EvenUp fits personal injury law firms — from solo practitioners to large operations — that want to cut the manual grind of intake, medical-record tracking, demand letters, and discovery, and to use settlement data to build stronger cases. Its deep PI specialization is exactly why it works where general legal AI struggles. Firms outside personal injury will not benefit, and as with all legal AI, attorney review and professional judgment remain essential (AI output is a draft, not legal advice), but for PI firms, EvenUp is a capable, well-targeted platform.
Things to keep in mind
- AI-drafted legal documents require attorney review and judgment.
- It is specific to personal injury law, not general legal work.
- It is a professional platform priced via the company.
Our verdict
EvenUp is a well-targeted AI platform for personal injury law, and its specialization is exactly the point: rather than general legal AI, it is built around the PI case lifecycle — AI intake that flags high-value cases, treatment tracking that recovers missing records, demand letters drafted in minutes, and support through discovery and trial — backed by a dataset of 250,000-plus verdicts and settlements and strong compliance (SOC 2, HIPAA). Attorney review remains essential and it only suits PI practice, but for personal injury firms, EvenUp is a strong choice.
Frequently asked questions
What is EvenUp?
EvenUp is an AI platform built for personal injury law firms that automates intake, treatment tracking, demand letters, discovery, and case analysis, backed by a large verdicts and settlements dataset.
What does EvenUp automate?
It automates AI intake to flag high-value cases, treatment tracking with missing-document recovery, demand-letter drafting, negotiation prep, discovery documents, and medical chronologies.
Is EvenUp secure?
EvenUp is SOC 2-audited and HIPAA-attested, reflecting the sensitive medical and legal data it handles.
Who is EvenUp for?
It is for personal injury law firms of all sizes that want to cut manual case work and use settlement data to build stronger cases.
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