EvenUp AI: Personal Injury Intelligence for Law Firms

AI Drafts Suite

Generates demand letters, complaints, medical summaries, negotiation sheets, and responses to interrogatories. Includes Express Demands (instantly generated) and Expert-Reviewed Demands (enhanced by in-house legal team). All documents adapt to each firm's tone, structure, and strategy.

Example: Upload case files and receive a fully drafted demand letter in minutes, complete with medical summaries, damages calculations, and supporting evidence citations.

Medical Chronologies (MedChrons)

Interactive care timelines generated within an hour of file upload. Summarizes and organizes medical records chronologically, identifies treatment trends, and supports accurate case valuation.

Example: Upload 500 pages of medical records and receive a structured chronological summary with provider timelines, treatment gaps flagged, and expense totals.

Case Companion

AI legal assistant that provides real-time answers and analysis across thousands of pages of case documents. Includes line-based evidence citations and helps attorneys prepare for settlement negotiations and dismantle defense arguments.

Example: During a surprise settlement call, ask Case Companion to identify key adjuster arguments and provide counterpoints with specific evidence from the case file.

Smart Workflows

Data-driven recommendations on key case actions throughout the lifecycle. Alerts for optimal demand timing, client treatment follow-ups, and flags for missing documentation before it stalls cases.

Example: Receive a notification that a client has a 60-day treatment gap that could weaken the demand, with a recommended follow-up action.

Medical Management

Provides 360-degree visibility into every client's medical journey in real-time. Includes interactive care timelines, auto-generated visualized chronologies, and identifies cases with major treatment interruptions.

Example: View a dashboard showing all active clients' treatment statuses, flagging those with upcoming appointments and those who may need follow-up.

Demand Letter Generation

Transform medical records and case files into persuasive, evidence-backed demand letters. Express Demands are generated instantly; Expert-Reviewed Demands include in-house legal team enhancement.

Example: Jeffcoat Injury Lawyers settled cases 30 days faster using Express Demands, reducing average settlement timelines by one month.

Why it excels: The combination of PI-specific AI and human expert review produces demands that adjusters take seriously, leading to faster and higher settlements.

Scaling Case Volume Without Headcount

Handle significantly more cases without proportionally increasing staff. The platform automates the most time-consuming preparation work while maintaining quality.

Example: Sweet James scaled past $500M in annual results with 70% year-over-year growth without increasing headcount. Another firm achieved 300% top-line growth while only increasing employees by 30%.

Why it excels: By automating demand drafting, medical chronologies, and case analysis, firms can focus attorney time on negotiation and client relationships rather than document preparation.

Settlement Negotiation Preparation

Use Case Companion to prepare for settlement negotiations with instant access to case evidence, counterarguments to common defense positions, and real-time analysis during calls.

Example: One firm turned a $50,000 initial offer into a $1.75 million settlement using Case Companion to identify and present overlooked evidence during negotiation.

Why it excels: Real-time access to thousands of pages of case documents during live negotiations gives attorneys a decisive information advantage.

Medical Record Organization

Automatically organize, summarize, and chronologize hundreds or thousands of pages of medical records. Identify treatment gaps, calculate total medical expenses, and flag potential issues.

Example: MedChrons generated within an hour of upload, replacing days of paralegal work organizing and summarizing medical records.

Why it excels: AI trained on millions of medical visits provides accuracy rates above 90% for identifying charges, treatments, and provider-date mapping.