Everlaw is a cloud-native e-discovery and litigation platform that layers AI on top of large-scale document review — predictive coding, clustering, and a retrieval-augmented "Deep Dive" chat feature for asking questions across tens of millions of case documents with citations back to source.
Founded in 2010 in Oakland, California by AJ Shankar and Jeffrey Friedman, Everlaw has grown into one of the most widely used e-discovery platforms among large law firms, corporate legal departments, and government agencies, including the US Department of Justice. The company raised a Series D of over $200M (TPG, a16z) at a reported $2B valuation.
Everlaw integrates multiple third-party AI models — including Anthropic Claude, Google Gemini, and Microsoft Copilot (OpenAI-based) — alongside its own proprietary predictive-coding and clustering technology. The company reports SOC 2/3, FedRAMP Moderate, ISO 27001/17/18, and GDPR/CCPA compliance, but does not publish an explicit statement on whether customer data is used for model training.
Pricing is not officially published; third-party reporting places it around $2,000-5,000/month in platform fees plus $18-35/GB of hosted data, with some AI features billed pay-as-you-go.