Overview
EvenUp utilizes AI to automate the creation of demand letters and packages for personal injury cases (like car accidents, slip and falls). Law firms upload case documents (medical records, bills, incident reports, etc.), and EvenUp's AI analyzes them to extract key information, summarize injuries and treatments, calculate economic damages (medical expenses, lost wages), and assist in quantifying non-economic damages. It aims to produce detailed, well-supported demand packages much faster than manual methods, helping firms settle cases more efficiently and potentially at higher values. In October 2025, EvenUp raised $150 million in funding, valuing the company at over $2 billion, reflecting strong growth and investor confidence in the AI-powered legal tech space.
Use cases
Primary: Drafting personal injury demand letters and packages.
Other use cases:
- • Calculating damages
- • Summarizing medical records
- • Organizing case information for settlement negotiations.
AI capabilities
- → Natural Language Processing (NLP) for document analysis (medical records, bills)
- → Machine Learning (ML) for data extraction and damage calculation models
- → Potentially Generative AI for drafting narrative sections.
Pros & Cons
Pros
- ✓ Dramatically reduces time spent on drafting demands
- ✓ Helps ensure consistency and thoroughness
- ✓ Assists with complex damage calculations
- ✓ Potentially improves case valuation and settlement speed.
Cons
- ! Focused solely on personal injury demands
- ! Output requires attorney review and sign-off
- ! Pricing based on settlement value might not suit all firms
- ! Reliance on AI requires trust in its analysis (especially for non-economic damages).
Pricing
Model: Typically a contingency fee model, charging a percentage of the settlement value for cases where their demand package is used. May offer alternative pricing structures.
Pricing details: Based on contingency fee percentage (e.g., reported around 1-2% historically, but needs verification) or other negotiated pricing.
Integrations
- • Integrates with common PI case management software like Litify
- • Filevine
- • CASEpeer
- • Clio Grow.
What sets it apart
- ★ Specific focus on automating PI demand packages
- ★ Claims significant time savings (hours reduced to minutes)
- ★ Aims to improve demand quality and potentially settlement outcomes.
Compliance & security
SOC 2 Type II, HIPAA compliant.