Everlaw is a cloud-native ediscovery and litigation platform built for law firms, corporate legal departments, and government agencies. Founded in 2011 by AJ Shankar, a UC Berkeley computer science PhD, the Oakland, California company set out to replace on-premise document review software with a browser-based system that could handle large-scale litigation, investigations, and public records requests.
The platform combines document review, predictive coding, and visual analytics in one workspace, with AI features such as Everlaw AI's generative search and a built-in Writing Assistant layered on top of the core review tools. Legal teams upload data once and use the same environment for early case assessment, privilege review, deposition prep, and trial presentation, rather than switching between separate ediscovery, review, and analytics tools.
Everlaw is aimed at litigation teams, corporate legal departments, and government agencies handling ediscovery, investigations, and compliance work at volume. Pricing runs on a case or annual platform subscription tied to data volume rather than published per-seat rates, and prospective customers need to contact Everlaw directly for a quote; single-document AI actions are included in subscriptions while batch AI actions draw down purchased credits.
