Everlaw is a cloud-native ediscovery and litigation platform designed to help legal teams, corporations, and government agencies manage large-scale document reviews and internal investigations. The platform moves beyond simple document storage by integrating generative and predictive AI tools that analyze evidence at scale. Users can leverage data clustering to visualize patterns, use predictive coding to prioritize relevant files, and employ specialized assistants for rapid information extraction across massive datasets. What distinguishes the system from traditional review software is its focus on the later stages of a case through tools like Storybuilder, which helps attorneys organize evidence into a coherent narrative for trial preparation. Beyond document review, it handles legal holds, FOIA processing, and automated translations, centralizing the litigation lifecycle within a single interface. While the interface is built for efficiency, the platform’s depth makes it most effective for organizations dealing with complex, data-heavy cases that require more than basic keyword searching. The inclusion of an AI-powered writing assistant further helps bridge the gap between initial discovery and final court submissions by assisting with memo drafting and evidence categorization.
Problem: Legal teams face millions of documents in discovery, making manual review of every page impossible.
Solution: Everlaw uses predictive coding and clustering to prioritize relevant files and visualize data patterns.
Example: In a complex litigation case, a team identifies the most critical 5% of documents out of 10 million files.
Problem: Finding specific facts or citations across a massive data set takes hours of manual searching.
Solution: The 'Deep Dive' feature navigates the corpus to surface insights with direct citations for verification.
Example: A lawyer asks the system to find all mentions of a specific contract clause across multiple email threads.
Problem: Lawyers need to compile disparate facts into cohesive narratives for case strategy or trial prep.
Solution: An AI writing assistant synthesizes evidence and brainstorms case strategies to create first drafts.
Example: A legal team uses Storybuilder to draft a trial brief that compiles evidence from 50 different sources automatically.
Target audience: Best for: Law Firms, Corporate Legal Departments, Government Agencies
Pricing: Paid · Categories: Law and legal, Research, Writing
Tags: AI, AI writer, Generative AI, legal assistant, Research Assistant