Everlaw review 2026: see how this cloud-based e-discovery and litigation platform prices AI review, predictive coding and Storybuilder, plus top alternatives.
Everlaw is a cloud-based e-discovery and litigation platform used to collect, review, analyze, and present electronically stored information in litigation, investigations, and regulatory matters. It was founded by AJ Shankar in 2011 and is headquartered in Oakland, California.
The platform serves three main audiences: law firms handling document-intensive litigation, corporate legal and compliance departments managing internal investigations, and government agencies such as the Department of Justice and state attorneys general offices that need secure, compliant hosting for sensitive case data.
Everlaw combines a document review workspace with AI-assisted search and predictive coding, visual case analytics, legal holds management, redaction tools, deposition support, and Storybuilder, a module for building chronological case narratives used in briefs and trial preparation.
At the core of Everlaw is a browser-based review workspace that supports predictive coding and active learning, forms of technology-assisted review that use machine learning to rank documents by likely relevance so reviewers can prioritize the most important material.
The EverlawAI suite adds generative AI capabilities, including single-document summaries, an on-demand question-and-answer tool called Deep Dive that cites its sources, a Writing Assistant that drafts statements of fact and deposition summaries, and AI-generated review coding suggestions with supporting rationale.
Storybuilder lets legal teams organize evidence into a visual, chronological case timeline for narrative development and trial or deposition preparation, while dedicated deposition tools support transcript search, synchronization with video, and AI-assisted transcript analysis.
Other included capabilities cover legal holds management, redaction (including redacting individual cells within native spreadsheets), unlimited productions, audio and video transcription, cloud connectors for Microsoft 365, Google Workspace, Slack, and Zoom, and a public API for custom integrations and automation.
Everlaw does not publish fixed subscription tiers. Instead, it uses a usage-based model priced primarily by the volume of data hosted on the platform, measured in gigabytes, with no limits on the number of users or document uploads within a matter.
Prospective customers need to contact Everlaw's sales team for a quote. Third-party market estimates put typical costs at roughly 2,000 to 5,000 dollars per month in base fees plus a per-gigabyte hosting rate, though actual pricing depends heavily on data volume, matter complexity, and contract terms.
The base subscription is positioned as all-inclusive, bundling unlimited user licenses, onboarding and training, legal holds, processing, predictive coding, Storybuilder, and single-document AI actions, while high-volume batch AI operations such as bulk summarization and translation are billed separately through purchased credits.
Everlaw is a cloud-based platform used for e-discovery, document review, and litigation support, letting legal teams collect, search, analyze, and present electronically stored information in litigation, investigations, and regulatory matters.
Everlaw uses custom, usage-based pricing rather than published tiers, charging primarily by the volume of hosted data with no per-user limits. Buyers need to contact Everlaw's sales team for a quote; independent market estimates suggest typical costs of roughly 2,000 to 5,000 dollars per month in base fees plus a per-gigabyte hosting rate.
Everlaw was founded by AJ Shankar, a Harvard graduate with a Ph.D. in Computer Science from UC Berkeley. The company was established in 2011 and is headquartered in Oakland, California.
Yes. Everlaw holds SOC 2 Type II attestation, ISO 27001 certification, FedRAMP Moderate Authorization, and StateRAMP Moderate Authorization, and it hosts federal client data on AWS GovCloud, making it usable by agencies such as the Department of Justice and multiple state attorneys general offices.
EverlawAI is Everlaw's umbrella brand for its artificial intelligence features, including EverlawAI Assistant for document summaries, Q&A, and drafting, EverlawAI Predictive Coding for relevance ranking, and EverlawAI Clustering for grouping related documents.
Everlaw's primary competitors include Relativity, the long-standing market leader in e-discovery, along with DISCO, Reveal, Logikcull, Casepoint, and Nextpoint. Everlaw is generally positioned as a modern, cloud-native alternative to Relativity's more customizable but more complex legacy platform.