Everlaw is a legal technology platform focused on litigation and investigation scenarios, aiming to transform the way legal teams handle evidence through AI and data analytics capabilities. Its core positioning is to be a "single system of record for evidence," ensuring that whether teams work within Everlaw, connect through AI applications, or use custom solutions, their workflows remain organized, secure, and evidence-based.
In terms of key capabilities, Everlaw provides powerful analytics, leading AI, and trial preparation tools to help users gain near-instant insights from complex data. The platform supports natural language question answering (Everlaw Deep Dive), which can answer questions about case data based on evidence, covering tens of millions of documents, and the company states its capacity is 400 times that of similar tools. Everlaw also supports almost any type of data, from simple emails to obscure file formats. In addition, the platform offers industry-leading processing and review speeds, accelerating the discovery of key facts.
In terms of usage, Everlaw provides an open platform that allows users to work entirely within Everlaw or connect to their preferred drafting platforms, AI tools, and agents. The platform emphasizes preventing data sprawl, maintaining trustworthy outputs, and ensuring litigation data security. For the public sector, Everlaw offers a secure platform with FedRAMP certification and GovRAMP authorization to help address case backlogs. The platform also supports preserving data directly at the source, automating custodian tracking, and maintaining a complete audit trail.
Applicable scenarios include: evidence discovery in litigation and investigations, trial preparation, deposition and exhibit management, legal holds, and more. Everlaw is suitable for teams of all sizes, from one person to thousands, offering workflows and templates to ensure consistent team performance. Its customers include Am Law 200 firms, Fortune 500 companies, energy companies, cybersecurity services companies, and the National Association of Attorneys General, among others.
In terms of limitations, official materials do not provide specific pricing, charging models, deployment methods, or detailed technical specifications. Some features, such as the specific performance of Everlaw Coding Suggestions and the recall rate data from Dinsmore & Shohl, are only mentioned without further details. The platform's specific supported languages, integration list, and the details of training and support are also not elaborated in the materials.