Everlaw AI Product Suite
Command the Facts Across Every Matter
Power your legal work with AI grounded in evidence.
Power your legal work with AI grounded in evidence.
Everlaw keeps your team organized, secure, and grounded in evidence – whether you’re working natively in the platform, through external AI applications, or across custom tools. In an era of rapid technology adoption, fragmented data creates risk. By serving as a single, open source of truth, Everlaw gives you the flexibility to innovate across your preferred tech stack while ensuring every output remains fully auditable, defensible, and anchored in undeniable fact.
Choose Your Tools
Modern legal work demands total flexibility. Everlaw’s open ecosystem allows you to connect external AI applications and custom builds directly to the Everlaw platform. Drive innovation across your tech stack while keeping every insight grounded, secure, and fully defensible.
Query Your Largest Data Sets
Ask natural-language questions and search your largest matters in seconds, receiving direct answers grounded in evidence, with direct citations to the source documents. Deep Dive is proven able to handle cases with over 20 million documents, providing near-instant insights, so your team can move from raw data to a winning strategy.
Strategic Document Review
Automate first-pass review with AI suggestions that can exceed human review performance. Coding Suggestions delivers tiered coding recommendations customized to your case, with clear justifications for every document.
Draft with Complete Control
Ground your strategy in the specific evidence of your matter, so it remains firmly rooted in the record from the very first draft. Writing Assistant helps you easily build out arguments, pressure-test theories, and craft compelling narratives.
Grounded, Document-Level Insights
Condense massive volumes of documents into clear summaries and answer your toughest questions in real time. Review Assistant lets you reclaim time for high-level strategy while ensuring you don’t miss critical details or hidden risks.
Identify Patterns in Coding Decisions
Power your review strategy with AI that continuously learns from your record. Predictive Coding evaluates document sets against historical coding decisions, generating dynamic relevance scores to surface critical facts — even when hidden behind complex formatting or non-standard language.
See Your Data Differently
Group documents by conceptual similarity without manual model training or complex configuration. Using unsupervised machine learning, Everlaw Clustering transforms chaotic data sets into an intuitive visual landscape — enabling legal teams to pinpoint relevant evidence faster and focus human review where it matters most.
See the framework that guides all generative AI product development at Everlaw.
Everlaw CEO AJ Shankar’s keynote at Everlaw Summit ‘25 highlights how Everlaw is thinking about the practical and responsible integration of AI into the platform.
Understand the key principles we are committing to in delivering responsible generative AI to our customers.
Dive deep into Everlaw’s AI features, common workflows, and more.
GenAI is here to stay. Understand this transformative technology with Everlaw Founder and CEO AJ Shankar.
Learn how legal teams can utilize artificial intelligence in ediscovery.
Everlaw’s AI tools are purpose-built for legal workflows, with capabilities designed specifically for litigation and investigations, document review, and case preparation. Its outputs are grounded in source documents, allowing legal teams to verify results, maintain transparency, and support defensible decision-making throughout the litigation process.
Everlaw’s AI tools are designed with security and privacy in mind, allowing organizations to analyze sensitive legal data while maintaining control. Its outputs are grounded in source documents, enabling verification and transparency.
Everlaw’s AI tools include a suite of capabilities designed to support the full litigation workflow, including AI-powered document analysis, coding suggestions for review, natural-language document Q&A, predictive coding, document clustering, AI-assisted writing, and multilingual document translation. These features help legal teams analyze evidence, prioritize review, and prepare case materials more efficiently.