find them before anyone else does

Darrow doesn't help you manage cases. It helps you find them before anyone else does. The platform uses AI to scan public documents, regulatory filings, consumer complaints, and news sources to identify class action and mass tort opportunities before they become known cases. It's litigation intelligence — the ability to see a viable case forming months before a complaint gets filed.

The numbers back it up: $26 million in revenue in 2024, 80+ plaintiff firms, and over 3,000 lawyers on the platform. Darrow isn't a startup with a demo; it's a scaled business that's fundamentally changing how plaintiff firms source their highest-value work.

What Darrow Actually Does

Darrow's AI continuously scans public datasets — FDA filings, OSHA reports, SEC disclosures, consumer complaint databases, court records, news articles, social media signals — and identifies patterns that indicate potential class action or mass tort liability.

When the system detects a viable opportunity, it packages the intelligence into a case brief with supporting data: the alleged harm, affected population size, potential defendants, relevant regulatory history, and comparable precedents. Plaintiff firms receive these briefs and can decide whether to pursue the case.

Darrow also provides plaintiff acquisition support — once a firm decides to pursue a case Darrow identified, the platform helps locate and connect with affected individuals who could serve as named plaintiffs or class members.

The business model is essentially litigation lead generation powered by AI. But unlike traditional case referral networks, Darrow finds cases that don't exist yet — opportunities hiding in data that no human could manually scan at this scale.

Pricing: Performance-Aligned

Darrow's pricing model is aligned with case outcomes rather than flat SaaS subscription fees. The specifics aren't publicly disclosed, but the structure incentivizes Darrow to surface high-quality opportunities rather than flooding firms with junk leads.

This is meaningful because it reduces upfront risk for plaintiff firms evaluating the platform. You're not paying $10K/month to see if the intelligence is useful — the cost structure is tied to the value delivered.

With $26M in 2024 revenue across 80+ firms, the unit economics clearly work for both sides. Firms are paying because the cases Darrow finds are generating returns that justify the cost, and Darrow is scaling because its AI keeps finding viable opportunities.

Who Darrow Is Built For

Plaintiff litigation firms focused on class actions, mass torts, and complex litigation. If your firm's growth depends on originating high-value cases — not just handling referrals — Darrow is a competitive weapon.

Mass tort firms get particular value because Darrow can identify product liability and pharmaceutical patterns early, when the potential plaintiff pool is largest and competition among firms is lowest. Being first to a mass tort opportunity means better plaintiff acquisition and stronger fee positions.

Large plaintiff operations with the resources to pursue the cases Darrow surfaces. These aren't small claims — they're class actions and mass torts that require significant investment in investigation, plaintiff acquisition, and litigation. You need the infrastructure to act on the intelligence.

What Darrow Isn't Good At

Defense firms have no use case here. Darrow is built exclusively for plaintiff-side case origination. If you're defending cases, this isn't your tool.

Small plaintiff firms may struggle to act on Darrow's intelligence. Class actions and mass torts require significant capital and infrastructure to pursue. If you can't invest in investigation and plaintiff acquisition, knowing about an opportunity doesn't help much.

Individual case matching isn't the focus. Darrow finds systemic patterns — mass harms affecting thousands of people. If you're looking for individual PI cases or single-plaintiff matters, traditional intake channels serve you better.

It doesn't replace legal analysis. Darrow identifies potential opportunities, but your attorneys still need to evaluate legal viability, jurisdiction, damages theory, and litigation strategy. The AI finds the signal; your team determines if it's a real case.

The Verdict

Darrow created a category that didn't exist before: AI-powered litigation intelligence for case origination. In a profession where finding the right case at the right time can mean eight or nine-figure outcomes, having an AI that scans every public data source for emerging liability patterns is a structural advantage.

$26M in revenue and 80+ firm clients by 2024 proves the model works at scale. For plaintiff firms that originate their own cases — particularly in mass tort and class action — Darrow isn't optional anymore. It's the difference between finding a case when everyone else does and finding it months before anyone else knows it exists.

The Bottom Line: Darrow is the AI platform that finds class action and mass tort cases before they exist — scanning public data to surface litigation opportunities months ahead of the market — and it's already powering 80+ plaintiff firms and $26M in annual revenue.