EvenUp
PaidAI platform for personal injury attorneys that generates demand letters by analyzing medical records, case law, and verdict data to maximize claim value.
What does this tool do?
EvenUp is a specialized AI platform designed specifically for personal injury law firms to automate and optimize case management workflows. The platform goes well beyond simple demand letter generation—it includes AI-powered communication agents for client/adjuster interactions, medical record management and chronology creation, automated document drafting, settlement analytics, and negotiation preparation tools. The core value proposition centers on reducing manual labor-intensive tasks (like reviewing medical records and drafting demands) from hours to minutes while leveraging verdict data and case law to maximize claim valuations. The platform appears to operate as an integrated suite rather than a point solution, with interconnected modules handling everything from initial case intake through settlement negotiations.
AI analysis from Feb 23, 2026
Key Features
- AI-powered voice and text communication agents that handle routine client and adjuster interactions autonomously
- Medical Management system serving as centralized treatment command center with automated medical chronology generation (MedChrons™)
- Express Demands™ for rapid AI-generated demand letters within minutes, and Demands™ with professional human review option
- Settlement Repository™ aggregating firm's historical settlement data to enable data-driven benchmarking and negotiation preparation
- Workflow Processes™ that surface insights and automate actions based on case status and readiness indicators
- Negotiation Preparation™ tool providing guidance for adjuster negotiations with confidence-building data
- Executive Analytics™ dashboard for firm-level performance management and case readiness tracking
Use Cases
- 1Generating AI-drafted demand letters with professional review that incorporate medical records, case law, and comparable verdict data to support higher settlement valuations
- 2Automating medical chronology creation and treatment timeline documentation from uploaded medical records to ensure no details are missed
- 3Using AI communication agents to handle routine client calls and adjuster communications, reducing administrative burden on paralegals and attorneys
- 4Identifying missing medical documentation and prior cases early in case preparation to resolve gaps before negotiation
- 5Building data-driven settlement benchmarks by analyzing firm's historical settlement outcomes to inform negotiation strategy and pricing
- 6Managing firm-wide case workflow and surfacing actionable insights about case status, readiness, and performance metrics through executive analytics
Pros & Cons
Advantages
- Domain-specific AI purpose-built for personal injury law reduces learning curve compared to general-purpose legal AI tools, with prompting guides and change management resources provided
- Comprehensive end-to-end platform handles multiple stages of case lifecycle (intake, medical management, drafting, negotiation, settlement tracking) rather than requiring multiple disconnected tools
- Integrated settlement repository and verdict data analytics provide concrete benchmarking data to support negotiation positions and settlement recommendations backed by comparable cases
Limitations
- Pricing model not disclosed publicly, making cost-benefit analysis difficult for firms evaluating whether to switch from existing workflows or competing solutions
- Platform appears heavily dependent on quality of uploaded medical records and case documentation—garbage in/garbage out limitation means poor source materials will produce poor AI outputs
- Requires significant firm-wide adoption and change management (EvenUp offers training on this), suggesting implementation friction and potential resistance from attorneys accustomed to traditional workflows
Pricing Details
Pricing details not publicly available.
Who is this for?
Personal injury law firm attorneys and paralegals, particularly mid-to-large firms handling volume personal injury caseloads (car accidents, medical malpractice, premises liability). Best suited for firms already using case management software and willing to invest in AI-driven workflow transformation. Most applicable to firms handling settlement negotiations rather than litigation-focused practices.