Darrow is an AI-powered justice intelligence platform that helps plaintiff law firms discover class action and mass tort case opportunities by scanning public documents, regulatory filings, consumer complaints, and other data sources to detect legal violations at scale. Founded June 2020 in Israel by CEO Evyatar Ben Artzi and CTO Gila Hayat. HQ Tel Aviv and New York. ~$60M total funding ($35M Series B Sept 2023 led by Georgian). Products: Justice Intelligence Platform (violation detection across privacy/data breach, consumer protection, ERISA, securities, environment, employment), PlaintiffLink (connecting firms with qualified plaintiffs), and Torch (agentic browser extension for legal analysis). Won 2024 AI Breakthrough Award. Forbes coverage: ‘AI-Fueled Startup Helping Attorneys Find New Class Action Lawsuits.’ Case study: single sentence in a 200-page pension plan led to a $59M ERISA case detected by platform. G2 listed. Open-source HuggingFace dataset (USClassActionOutcomes). Artificial Lawyer coverage of PlaintiffLink launch. r/legaltech user recommends Torch browser extension.
Capabilities
Spans 1 product area: Class Actions.
Workflow Coverage
Based on published feature listings, this tool maps to 1 workflow area:
- Document Review & Management
Workflow mappings derived from published feature lists. Not independently verified.
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Darrow is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Darrow addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
PI intake calls come in at 50-200 per week but 60-80% aren't viable cases — the firm wastes hours screening callers before a single billable minute, and good leads go cold waiting for callback
Plaintiff firm can't scale past 100-200 active cases because every additional case adds linear paralegal/attorney hours for med records, chronologies, and demand work — the economics break without automation
Plaintiff firm specializing in privacy class actions knows there are thousands of CCPA and BIPA violations happening every day but has no systematic way to find them — the partner reads news articles, monitors regulatory enforcement, and relies on referrals, while a competitor with better intelligence files the case first and gets appointed lead counsel
Where it fits in your workflow
Before Darrow
Darrow AI scans public documents, regulatory filings, consumer complaints → detects potential legal violations → alerts plaintiff law firm with case intelligence.
After Darrow
Law firm evaluates Darrow's case intelligence → files class action or mass tort → PlaintiffLink connects with qualified plaintiffs → litigation proceeds through standard litigation lifecycle.
Integrations & hand-offs
Darrow → plaintiff law firm (case intelligence). PlaintiffLink → law firm (qualified plaintiffs). Law firm → court (filing). Darrow Torch → attorney (browser-based analysis on any web page).
Also used by similar teams
Community Data
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