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EvenUp

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AI platform for plaintiff law firms that generates settlement demand letters from medical records and case files - raised $135M Series C at $1B+ valuation.

EvenUp is an AI-powered legal technology platform that automates the creation of settlement demand packages for plaintiff personal injury and workers' compensation law firms. The platform processes medical records, incident reports, and case files to generate comprehensive demand letters that organize medical chronologies, document damages, and calculate case values. Founded in 2020 in San Francisco, EvenUp raised $135 million in Series C funding in December 2024, valuing the company above $1 billion. The platform is used by plaintiff attorneys to reduce demand preparation time from days to hours while standardizing document quality across a firm. Pricing is enterprise subscription with rates available only through direct sales engagement.

#legal-ai
#document-automation
#enterprise
#ai-writing
#legal-tech
#productivity
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Pricing starts at

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www.evenuplaw.com
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Pricing Model
Legal & Compliance
Category
2020
Since
Paid
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Key Features

  • Automated demand letter generation from uploaded medical records, incident reports, and case documentation files
  • Medical record chronology organization extracts and structures treatment history from complex multi-provider record sets
  • Economic damages calculation assists with medical specials, lost wage projections, and future care cost estimates per case
  • Case value analysis compares input factors against jurisdiction-specific settlement data for informed demand anchoring
  • HIPAA-compliant document handling with encryption and access controls for processing sensitive personal injury case data
  • Bulk case processing allows law firms to run demand generation across multiple active cases simultaneously in parallel
  • Quality review checklist flags missing documentation, inconsistencies, and data gaps before the demand package is submitted

Use Cases

  • Personal injury plaintiff firms reducing demand preparation time from several days to a few hours per case file
  • Workers' compensation attorneys generating standardized demand packages across high-volume caseloads efficiently
  • Solo and small plaintiff firm attorneys producing enterprise-quality demand letters without a large paralegal support staff
  • Law firm operations teams standardizing document quality and reducing variability in demand submissions across attorneys

Pros

  • Cuts demand letter preparation from days to hours - a direct reduction in overhead cost per case at high volume
  • $135M Series C at $1B+ valuation reflects strong traction in a legal AI market with few proven enterprise-scale players
  • HIPAA-compliant document pipeline with access controls meets strict security requirements for personal injury case data

Cons

  • Enterprise-only pricing with no published rates or self-serve signup - requires sales engagement before any platform access
  • Designed exclusively for plaintiff personal injury and workers comp - not applicable to defense, transactional, or corporate law
  • Demand output still requires attorney review before submission - the platform produces a strong first draft, not a final document

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