Darrow is a legal intelligence platform that scans public data to surface viable legal claims, connecting meritorious cases with the firms that can litigate them.
Darrow flips case sourcing: instead of waiting for clients, it detects legal violations embedded in public data — consumer harms, privacy breaches, antitrust patterns — and packages the intelligence for law firms evaluating litigation. Its AI models estimate the size of affected classes and the strength of claims, giving firms an evidence-backed starting point. The approach expands access to justice by making it economically viable to pursue cases that would otherwise never be investigated.
Firms gain origination that does not depend on referrals: data surfaces violations before they become news, and impact estimates help evaluate economics early. The approach is reshaping how some practices think about casework supply.
Firms engage through partnership rather than software procurement: case intelligence arrives as evaluated packages, and litigation teams decide which claims fit their practice. Feedback on outcomes sharpens the platform’s impact estimates over successive matters.
The platform effectively creates a new origination channel for firms that previously relied on referrals and reputation. Case economics are estimated early, helping firms allocate resources before committing litigation budgets to a matter.
The intelligence packages arrive with supporting evidence, so partner evaluation of a claim starts from data rather than tip-offs. As the platform’s track record grows, firms can calibrate their own impact thresholds against actual outcomes.
Darrow partners with law firms commercially; firms engage the platform through its team rather than self-serve subscription.
Litigation firms seeking new case origination backed by data-driven evidence and impact estimates. It fits litigation firms seeking data-driven case origination.