Everlaw, the cloud-native investigation and litigation platform, announced significant AI momentum, as top law firms and corporate legal teams fundamentally reshape their approach to litigation, moving from linear processes to strategy-first, iterative case development – a change made possible by innovative generative AI features such as EverlawAI Deep Dive.
These novel, strategy-first and AI-enabled approaches allow practitioners to develop strategic insights from the earliest moments of a matter – before review is complete and often before it begins. In these emerging approaches to litigation, lead attorneys leverage Everlaw AI Deep Dive to have a conversation with their entire document corpus, understanding their evidence and informing their strategy faster than ever before. Coupled with Everlaw Fact Management, these attorneys can extend this strategy planning capability with a fact-first structure, quickly establishing their theory of the case and refining it as they progress. From that set of insights, these legal teams are now able to largely automate discovery obligations like first-pass review with Everlaw AI Coding Suggestions, allowing for speedy and defensible document review with speed and accuracy matching, and often beating, human reviewers.
Deep Dive enables attorneys to analyze entire document collections at once — even across databases containing millions of records — and receive citation-backed responses grounded in the underlying evidence. Instead of waiting weeks or months for manual document review to surface key facts, legal teams can interrogate their data in minutes and begin shaping strategy from day one. In less than three months since general availability, legal teams have already put Deep Dive to work, asking thousands of individual questions across hundreds of cases and tens of millions of documents. Today, over 30 million documents reside in Deep Dive databases, with the average Deep Dive project size exceeding 100,000 documents.
