These three tools solve completely different problems in personal injury.

These three tools solve completely different problems in personal injury. EvenUp writes demand letters. Supio manages the full PI lifecycle. Darrow finds cases before you even have a client. Comparing them head-to-head misses the point — the real question is which problem is costing your firm the most money right now.

If your bottleneck is demand letter quality and speed, EvenUp. If your bottleneck is case management chaos across intake-to-settlement, Supio. If your bottleneck is finding high-value cases before competitors, Darrow. Most PI firms need to solve one of these problems first, not all three.

EvenUp: AI Demand Letters That Actually Increase Settlement Values

EvenUp does one thing exceptionally well: generate demand letters that maximize settlement values. The platform analyzes medical records, bills, and case facts to produce demand packages that consistently outperform manually-drafted versions. PI firms report 30-40% higher settlement values on cases where EvenUp handles the demand. The AI cross-references comparable verdicts and settlements to build data-backed arguments adjusters take seriously. It's not a case management tool. It's not an intake tool. It's a demand letter machine that pays for itself on the first case. For high-volume PI firms processing 50+ demands per month, the ROI is undeniable.

Supio: Full Lifecycle PI Case Intelligence

Supio takes a broader approach — AI-powered case management from intake through settlement. The platform ingests medical records, extracts key data points, builds chronologies, identifies treatment gaps, and flags issues that could tank a case before you've invested serious hours. Where EvenUp focuses on the demand letter endpoint, Supio focuses on making every case smarter from day one. For firms drowning in medical records and losing track of treatment timelines across hundreds of active cases, Supio eliminates the paralegal hours spent on manual record review. The tradeoff: it's a bigger implementation than a single-purpose tool.

Darrow: AI-Powered Case Acquisition

Darrow solves a completely different problem: finding cases before they become cases. The platform uses AI to scan public data, identify potential mass tort and class action opportunities, and connect plaintiffs with firms. For PI firms looking to expand into mass torts or find high-value cases at scale, Darrow is a lead generation engine powered by legal AI. It doesn't help you manage cases or write demands — it helps you find the cases worth managing and demanding on. The value proposition is upstream of everything EvenUp and Supio do.

The PI Firm Decision Matrix

High-volume PI firm (100+ active cases): Start with Supio for lifecycle management, add EvenUp for demand optimization. Darrow if you want mass tort expansion.

Mid-size PI firm (30-100 cases): EvenUp delivers the fastest ROI — higher settlements with minimal workflow change. Add Supio when record review becomes the bottleneck.

Growing PI firm wanting more cases: Darrow first. You can't optimize what you don't have. Once case volume justifies it, layer in EvenUp and Supio.

Solo PI attorney: EvenUp only. The others require volume to justify the investment.

Pricing and ROI Reality Check

EvenUp charges per demand letter, making ROI easy to calculate: if a $500 demand package increases your settlement by $5,000+, it's a no-brainer. Supio runs subscription-based with pricing tied to case volume — ROI comes from paralegal hours saved on medical record review (typically 3-5 hours per case). Darrow operates on a success-based model where you pay when cases convert — lower risk but higher per-case cost. The honest math: EvenUp pays for itself fastest, Supio saves the most hours at scale, Darrow has the highest ceiling if it finds you a mass tort worth millions.

The Bottom Line: EvenUp for demand letters. Supio for case lifecycle. Darrow for case finding. They're not competitors — they're solving different problems. Pick the one that matches your biggest bottleneck today.