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Everlaw

AI-powered litigation and e-discovery platform with predictive coding, document review, and case management.

Listed Needs re-verification
Legal Compliance $$$ Mid-market Enterprise

What it does

Everlaw is a cloud-native litigation and e-discovery platform used by law firms, corporate legal departments, and government agencies for document review, case preparation, and trial management. AI capabilities include predictive coding (technology-assisted review) that uses ML to classify documents as relevant or privileged from a small seed set of human-coded examples, AI document clustering that groups conceptually similar documents to accelerate review, intelligent search that surfaces semantically relevant documents beyond keyword matching, automated privilege detection that identifies potentially privileged communications, and AI-assisted deposition preparation that extracts key facts from documents and organizes them for witness examination. Everlaw's cloud-first architecture and collaborative tools make it popular with mid-market litigation teams.

Strengths

  • Mid-market law firms and corporate legal departments use Everlaw for litigation document review - AI predictive coding accelerating review of large document sets and reducing review costs versus manual attorney review.
  • Large law firms, major litigation departments, and government agencies use Everlaw for enterprise-scale e-discovery - AI-powered review processing millions of documents on complex multi-party litigation with collaborative review workflows.
  • Everlaw is a cloud-native litigation and e-discovery platform used by law firms, corporate legal departments, and government agencies for document review, case preparation, and trial management.

Watch-outs

  • E-discovery and litigation focus only: Everlaw is purpose-built for litigation document review and case management — transactional legal work, contract management, and non-litigation legal functions need different platforms.
  • Predictive coding requires seed set quality: Everlaw's ML predictive coding is only as good as the human-coded seed set — poor initial coding decisions propagate through the AI classification, requiring careful quality control of the seed document selection.
  • Competes with Relativity in enterprise market: Relativity has the largest market share in enterprise e-discovery with a broader partner ecosystem — Everlaw competes on usability and cloud-native architecture but faces market share headwinds in large firm evaluations.

Pricing

Everlaw pricing based on data volume (GB) and active users. Not published. Mid-market matters typically several thousand to tens of thousands per case. Enterprise annual agreements negotiated.