EvenUp Review (2026)
Vertical AI Tools for Legal. PI / plaintiff-specific. Demand letters, medical record review, intake-to-settlement.
EvenUp is the AI demand letter and medical chronology platform for plaintiff personal injury firms, with an estimated 500+ PI firms on the platform processing tens of thousands of demand packages per year. The company raised a $135M Series D in 2024 at a $1B+ valuation and is the most-adopted AI tool in the PI category by firm count. EvenUp was founded in 2019 by Rami Karabibar (CEO) and Raymond Mieszaniec.
The product handles three core PI workflows. Medical chronology generation parses medical records (typically 200-2,000 pages per case) and produces a chronological narrative with citations to source pages. Demand letter drafting generates the full demand package grounded in the firm's templates, the chronology, liability facts, and damages calculations. Settlement document generation handles releases, disbursement statements, and related closing documents.
The math is the strongest pitch in legal AI. A demand package that traditionally took a paralegal 8-12 hours costs $200-$500 on EvenUp and is delivered in hours or days rather than weeks. For a PI firm doing 200-500 demands per year, the savings run $300,000-$1,500,000 annually in paralegal time plus accelerated settlement timelines. The platform is purpose-built for plaintiff PI; for general practice, defense work, or non-PI litigation, EvenUp is the wrong fit.
Verdict: AI demand letters, medical chronologies, and settlement docs for PI firms.
Best for: Personal injury firms generating high volumes of demand packages
Pricing: Per-document or subscription; usage-based
Pros and Cons
- Medical chronology generation replaces 8-12 hours of paralegal review per case
- Demand letters delivered in days versus weeks, accelerating settlement timelines
- Citations to source medical record pages support attorney review and verification
- Templates customizable to firm-specific demand structure and settlement preferences
- ROI typically positive within first quarter for firms doing 50+ demands per year
- Integrates with Filevine, Litify, and other major PI case management platforms
- Purpose-built for plaintiff PI; not useful for defense, general practice, or non-PI work
- Per-document or subscription pricing typically lands $30,000-$150,000 annually for active PI firms
- Attorney review still required for accuracy; the AI accelerates rather than replaces the work
- Quality varies with medical record completeness; incomplete records produce weaker chronologies
- Newer competitors (Eve, Supio) entering category may compress pricing over time
Common Use Cases
Mid-volume PI firm doing 200-1,000 demands per year
Firms at this scale see the clearest ROI. Medical chronology automation alone saves 1,600-8,000 paralegal hours annually. Demand letter automation reduces drafting cycle time from 2-4 weeks to 3-7 days, accelerating settlement timelines. Annual platform cost typically lands $80,000-$250,000 against $400,000-$2,000,000+ in paralegal time savings.
High-volume PI firm or mass tort coordinator
Firms running 1,000+ demands per year or mass tort dockets with thousands of claimants use EvenUp at scale to handle volume that would require massive paralegal staffing. The platform handles bulk medical chronology generation for mass tort cases where individual review is impractical. Pricing scales with usage but the per-document cost drops at volume.
Solo or small PI shop doing 20-100 demands per year
Smaller PI practices use EvenUp's per-document pricing to handle the cases where AI delivers value without committing to a full subscription. A solo attorney sending 30 demands per year at $400 per package spends $12,000 annually versus $80,000+ in paralegal cost. Per-document pricing makes the platform accessible at solo scale.
PI firm trying to scale without proportional paralegal hiring
Firms growing case volume but unable or unwilling to scale paralegal staffing use EvenUp to handle the medical chronology and demand drafting workload. Typical firms grow case volume 30-100% over 12-24 months while keeping paralegal headcount roughly flat by deploying EvenUp for the bottleneck workflows.
Pricing Detail
Per-document or subscription; usage-based
EvenUp offers two pricing models. Per-document pricing for firms doing variable or lower volume: demand packages typically run $200-$500 each, medical chronologies $150-$400 each, and settlement documents $50-$150 each. Subscription pricing for higher-volume firms: monthly or annual plans starting at roughly $5,000 per month with usage allowances and overage rates. Custom enterprise contracts for mass tort and very-high-volume PI shops.
Subscription pricing typically saves 20-40% versus per-document at consistent volume. Most active PI firms doing 100+ demands per year end up on subscription. Implementation is light (1-2 weeks of template configuration and integration setup) with no separate implementation fees for typical deployments. All-in annual cost for a typical 10-attorney PI firm doing 500 demands runs $80,000-$200,000.
The Verdict
Buy EvenUp if you run a plaintiff PI practice with consistent demand and medical chronology volume. The ROI math is the strongest in legal AI: a 200-demand-per-year firm typically saves $400,000+ in paralegal time at $80,000-$120,000 in platform cost. The platform is purpose-built for PI workflow, integrates with the major PI case management platforms, and delivers consistent quality across the medical chronology and demand drafting workflows. For PI firms not yet using AI, EvenUp is usually the first AI investment.
Skip EvenUp if you run defense, general practice, or non-PI litigation. The platform is narrow and the value is concentrated specifically in plaintiff PI demand and medical work. Eve covers the broader PI case lifecycle if intake-to-settlement workflow matters more than demand-specific automation. Supio focuses on heavy medical record review for high-volume PI and mass tort. For PI-specific demand letter automation, EvenUp is the category leader; competitors (Eve, Supio) win on different parts of the workflow rather than on direct demand-letter feature parity.
Related Comparisons
Featured In These Guides
Frequently Asked Questions
How accurate is EvenUp's medical chronology?
High enough that the chronology serves as a strong first draft, but attorney review remains required. EvenUp parses medical records, identifies treatment dates, providers, diagnoses, procedures, and complications, and generates a chronological narrative with citations to source pages. Accuracy varies with medical record completeness and legibility; incomplete or poor-quality records produce weaker chronologies. Most firms report the AI captures 85-95% of substantive content correctly, with the attorney's review focused on accuracy verification and strategic emphasis rather than primary drafting. Bar ethics rules require attorney review regardless.
EvenUp vs Eve vs Supio: which is best for PI?
EvenUp leads on demand letter and medical chronology automation specifically. Eve covers a broader PI case lifecycle (intake through settlement) with workflow features beyond just demand letters. Supio focuses on heavy medical record review and is strongest for mass tort and high-volume PI. The three vendors compete on overlapping use cases but differentiate on workflow scope. Most PI firms deploy EvenUp for demand-specific work and either Eve or Supio for adjacent capabilities depending on practice focus. For pure demand letter and medical chronology automation, EvenUp is the most-adopted choice by firm count.
What is the EvenUp implementation timeline?
Most firms go live in 1-3 weeks. Implementation includes template configuration for the firm's demand letter structure, integration with the case management platform (Filevine, Litify, or other), and training for attorneys and paralegals on the workflow. EvenUp provides customer success support during onboarding at no additional cost for typical deployments. Time-to-full-value (where the firm is processing demand packages at scale through the platform) typically lands 30-60 days after go-live. The implementation is meaningfully lighter than Harvey or Filevine because the workflow scope is narrower.
Can EvenUp handle defense work?
Not effectively. The platform is built for plaintiff PI demand and medical chronology workflow. Defense firms typically need different workflow (responding to demands, medical record review for defense purposes, settlement negotiation from the defense side) that EvenUp does not handle natively. Defense PI firms generally use general legal AI tools (Harvey, Spellbook) plus dedicated medical record review tools rather than EvenUp. The plaintiff focus is intentional positioning; EvenUp does not pursue defense-side use cases.
How does EvenUp pricing scale at high volume?
Per-document pricing drops at volume tiers, typically reaching $150-$300 per demand package at high-volume usage versus $300-$500 at lower volumes. Subscription pricing offers larger savings: high-volume PI firms running 1,000+ demands per year often land at effective per-document cost in the $100-$200 range under subscription contracts. Mass tort and very-high-volume deployments negotiate custom pricing that can run lower still. For comparison, in-house paralegal time on demand packages runs $200-$400 per package fully loaded, so EvenUp typically beats in-house cost at any meaningful volume even before accounting for cycle-time savings.
Reviewed by Rome Thorndike. Last verified 2026-05-11.
Pricing, features, and ratings are based on vendor documentation, public filings, product demos, and feedback from sales teams using these tools in production. We update reviews when vendors ship major releases or change pricing.