EvenUp
AI agent for personal injury firms that drafts demand letters, medical chronologies and complaints from medical records and case files.
Delv Safety Grade: C
Score 58/100 · assessed 2026-04-19
EvenUp is a commercial legal AI agent from a venture-backed startup serving personal injury law firms. The company appears legitimate with enterprise clients, but operates as a closed-source SaaS with minimal public transparency. The agent processes highly sensitive medical records and case files, drafting legal documents autonomously. This requires filesystem access to upload documents, network connectivity to cloud processing, and likely reads environment secrets for authentication. The lack of open-source code, public security documentation, or independent audit reports is concerning given the sensitivity of medical and legal data. Supply chain is opaque beyond the web interface. No known security incidents, but the closed nature and broad document access create meaningful risk. Appropriate for firms comfortable with enterprise legal tech vendors, but requires careful contract review around data handling, retention, and breach notification.
Green flags
- Established vendor serving enterprise law firms
- Specific vertical focus reduces attack surface vs general tools
- No known security incidents or breaches
- Enterprise pricing suggests professional support and contracts
Red flags
- No public repository or source code inspection possible
- Processes highly sensitive medical records and legal case files
- Opaque supply chain and security practices for closed SaaS
- Autonomous document generation with potential liability implications
- No visible third-party security audits or certifications disclosed
Permissions requested
Pricing
Platforms
Review
If you run a personal injury practice and spend more on paralegals than on software, EvenUp will pay for itself in three cases. If you handle PI occasionally or need flexible legal AI for other practice areas, look elsewhere.
Good at
- Genuinely autonomous: upload records, get a usable demand letter without micro-managing prompts
- Strong medical chronology feature that flags treatment gaps and contradictions
- Handles voluminous records well, including handwritten provider notes
- Purpose-built for PI workflows, so less configuration than general-purpose legal AI
- Output quality is closer to a junior associate than a chatbot
Watch out
- Struggles with complex causation arguments or disputed liability
- Per-demand pricing is opaque and likely expensive for smaller firms
- Narrow focus means it's useless outside personal injury practice
- Still requires lawyer review and editing, especially for nuanced legal arguments
- No public pricing or trial, so you can't test before committing to enterprise contract
Use cases
- demand letters
- medical summaries
- case analysis