Filevine and EvenUp both serve personal injury firms, but they solve completely different problems. Filevine is a case management platform with AI features that organizes your entire PI practice. EvenUp is an AI demand letter engine that turns medical records into settlement demands. Comparing them is like comparing a law office to a paralegal — one runs the operation, the other does specific high-value work.
PI firms generating over $2M in revenue should seriously evaluate both. Here's how they compare, where they overlap, and whether you need one or both.
Filevine: The PI Practice Operating System
Filevine is case management software built for plaintiff's firms. It manages the entire lifecycle of a PI case — intake, document management, task tracking, deadlines, communication logging, settlement tracking, and reporting. Its AI features layer on top of this infrastructure:
- AI-powered document organization: Automatically categorizes medical records, police reports, billing statements, and correspondence. - Smart task automation: Triggers follow-up tasks based on case milestones and deadlines. - Predictive case analytics: Estimates case values based on comparable outcomes in Filevine's dataset. - Timeline generation: Creates visual case timelines from uploaded documents.
Filevine's strength is operational efficiency. It replaces the combination of spreadsheets, shared drives, and generic project management tools that most PI firms cobble together. Pricing runs $100-$200/month per user, with implementation costs of $5,000-$15,000 for data migration and setup.
EvenUp: The AI Demand Letter Machine
EvenUp does one thing exceptionally well: it turns medical records into demand letters. Upload a client's medical records, treatment history, and case details, and EvenUp's AI generates a comprehensive demand letter with organized medical chronologies, damages calculations, and supporting arguments.
What makes EvenUp different from drafting a demand letter with Claude or ChatGPT: - Medical record parsing: EvenUp's AI is trained specifically on medical terminology, billing codes, and treatment documentation. It extracts and organizes information from messy medical records that general AI struggles with. - Damages calculation: Automated computation of economic damages based on medical costs, lost wages, and future treatment needs. - Case law integration: Demand letters include relevant jurisdiction-specific case citations and damages benchmarks. - Quality consistency: Every demand letter follows a proven structure that maximizes settlement value.
PI firms using EvenUp report 30-50% higher settlement values compared to manually drafted demands. Pricing is per-case or subscription-based, typically $300-$500 per demand letter or $2,000-$5,000/month for volume users.
Where They Overlap (and Don't)
The overlap is minimal. Filevine manages your practice. EvenUp writes your demand letters. The only area of overlap is document organization — both tools handle medical record processing, but in different ways:
- Filevine organizes medical records within your case management workflow. It categorizes and tags documents so your team can find what they need. - EvenUp reads medical records and extracts the information needed for demand letters. It analyzes the medical content, not just organizes it.
Filevine doesn't generate demand letters. It has basic document templates, but nothing approaching EvenUp's AI-powered demand letter generation.
EvenUp doesn't manage cases. It doesn't track deadlines, manage communications, or handle intake. It takes case data as input and produces demand letters as output.
They're complements, not substitutes. The PI firm that uses Filevine for case management AND EvenUp for demand generation is the firm that's maximizing both operational efficiency and case outcomes.
ROI Comparison: Different Math, Both Compelling
Filevine ROI: A 5-attorney PI firm spending 2 hours/day per lawyer on administrative tasks saves approximately 50 hours/month. At a blended rate of $200/hour for the attorney's time, that's $10,000/month in recovered capacity against $750-$1,000/month in Filevine costs. ROI: 10x.
EvenUp ROI: A PI firm handling 20 cases/month that achieves 30% higher settlement values through better demand letters sees significant revenue increases. If the average settlement increase is $5,000-$15,000 per case, that's $100,000-$300,000/month in additional revenue against $6,000-$10,000/month in EvenUp costs. ROI: 10-30x.
EvenUp's ROI is higher on a per-dollar basis, but it only applies to the demand letter stage. Filevine's ROI is lower but applies across every stage of every case. For most PI firms, the combined investment of $3,000-$6,000/month for both tools is easily justified by either metric alone.
The Verdict: Buy Filevine First, Add EvenUp When Volume Justifies It
If you're choosing one: Start with Filevine. Case management infrastructure benefits your entire practice from day one. Every case gets better organized, every deadline gets tracked, every communication gets logged. The operational improvements compound across your entire caseload.
Add EvenUp when: You're handling 10+ PI cases per month with significant medical records. At that volume, EvenUp's per-case time savings (8-15 hours per demand letter) and settlement value improvements more than cover the cost.
Skip both if: You're a solo handling fewer than 5 PI cases per month. At low volume, Claude Pro ($20/month) can help organize medical records and draft demand letters. It won't match EvenUp's specialized medical record parsing or Filevine's case management depth, but it's a viable starting point at 1% of the cost.
The PI firm tech stack in 2026: Filevine for case management + EvenUp for demand letters + Claude Pro for everything else (research, motion drafting, client communication). Total: $3,000-$7,000/month for a 5-attorney firm.
The Bottom Line: Filevine runs your practice. EvenUp wins your cases. They're not competitors — they're the two pillars of a modern PI firm's tech stack. Buy Filevine first for operational infrastructure, add EvenUp when your case volume makes the per-demand ROI undeniable.
AI-Assisted Research. This piece was researched and written with AI assistance, reviewed and edited by Manu Ayala. For deeper takes and the perspective behind the research, follow me on LinkedIn or email me directly.
