Side-by-side comparison of AI visibility scores, market position, and capabilities
AI legal intelligence for mass torts. $91M raised ($60M Series B). Cash-flow positive since 2023. $18B+ in litigation identified. 80 law firms. Founded in Israel.
Darrow AI is a legal intelligence platform that applies machine learning to identify, qualify, and develop mass tort and class action litigation opportunities. Founded to address the inefficiency with which plaintiff law firms discover viable large-scale cases, Darrow ingests public and proprietary data — regulatory filings, court records, news, social signals — and surfaces actionable litigation intelligence that would take armies of paralegals months to compile manually.\n\nThe platform gives plaintiff firms a continuously updated pipeline of mass tort opportunities, complete with damages estimates, claimant population analysis, and expert sourcing support. It targets plaintiff-side litigation boutiques and large personal injury firms that compete on case acquisition and portfolio quality. By quantifying potential case value and identifying optimal entry timing, Darrow helps firms allocate litigation capital more efficiently — a significant advantage in contingency-fee practices where capital deployment decisions directly determine firm economics.\n\nDarrow has identified $18B+ in potential litigation value across its platform and achieved cash-flow positivity since 2023 — a rare distinction for a legal tech startup. With 80 law firm clients and $91M raised including a $60M Series B, Darrow has established itself as the leading AI intelligence layer for mass tort litigation. Its combination of proprietary data pipelines, proven financial sustainability, and deep law firm relationships makes it a durable competitive position in a legal market increasingly won by information asymmetry.
Contract lifecycle management platform reaching $150M ARR at $3.2B valuation in Jan 2025; founded by Jason Boehmig and Cai GoGwilt (YC S15); Gartner and Forrester Leader;
Ironclad was founded in 2017 by Jason Boehmig and Cai GoGwilt, who met at Y Combinator's S15 batch, to digitize the contract process for in-house legal teams still managing contracts through email, Word documents, and shared network drives. The founders observed that legal teams spent the majority of their time on high-volume, repeatable contract workflows — NDAs, vendor agreements, customer agreements — rather than on high-value legal judgment. Ironclad built a no-code contract lifecycle management platform allowing legal teams to create automated workflows without engineering dependencies.\n\nIronclad's platform covers the full contract lifecycle: workflow automation for creation and review, a counterparty negotiation portal for redlining and approvals, a contract repository with AI-powered search and metadata extraction, cycle-time analytics, and integrations with Salesforce, DocuSign, and Slack. Ironclad AI performs obligation extraction, risk flagging, and contract summarization to accelerate review and maintain consistent standard terms. The platform is recognized as a Gartner and Forrester Leader in CLM and serves enterprise legal teams at Dropbox, Mastercard, and L'Oreal.\n\nIronclad reached $150 million in ARR in January 2025 at a $3.2 billion valuation from investors including Y Combinator, Accel, Sequoia, and Thrive Capital. As legal departments face pressure to scale without proportional headcount and as AI-powered contract review matures from point solution to platform capability, Ironclad's position as the workflow layer for enterprise contract operations gives it a structural advantage over point-solution CLM vendors.
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