New Harvey + Everlaw Integration Brings Massive Scale to Legal AI
Connect Harvey with Everlaw’s governed evidence layer to power legal AI workflows for even the largest, most complex matters.
Legal teams are rapidly adopting AI to help them analyze information, develop strategy, and move legal work forward. But in litigation and investigations, the quality of AI-enabled work depends on something fundamental: access to the right evidence.
That evidence can encompass millions of documents, complex metadata, years of communications, and enormous volumes of case data. And because the stakes are high, legal teams need to know that their AI workflows remain connected to a governed, defensible source of truth.
That’s why Everlaw is partnering with Harvey to combine Harvey’s agentic legal AI platform with evidence and insights in Everlaw through a forthcoming Model Context Protocol (MCP) integration. Together, Everlaw and Harvey are helping legal teams bring governed evidence-backed data to help them analyze, draft case documents and run complex legal workflows, while maintaining the control, scale, and governance these matters demand.
The integration marks the first step in a long-term strategic partnership, with multiple integrations that will deepen functionality for users across platforms, including enabling users to work with a user-defined subset of Everlaw documents within the Harvey AI platform.
Everlaw’s integration with Harvey is expected to be available to joint customers in fall 2026.
Bringing Together Legal AI and the Evidence Layer
Harvey gives legal professionals an AI platform built for sophisticated legal work. Everlaw provides the evidence layer to power that work: a secure, battle-tested litigation and investigations platform for searching, analyzing, and understanding the facts of a matter.
Through Everlaw’s integration, mutual customers can connect the two.
With the launch of this integration, users working in Harvey will be able to securely call into Everlaw to understand projects, search case data, retrieve relevant document sets, and surface insights from the evidence. They can run analyses, develop work product, and advance their case, all connected to one evidentiary system of record.
Instead of manually moving between systems or exporting matter data into disconnected workflows, teams can bring Everlaw’s evidence capabilities into Harvey, the environment where they're already working.
Extending AI Workflows to Matters at Extraordinary Scale
Legal evidence rarely arrives in easily digestible quantities. Major litigation and investigations can involve tens or hundreds of millions of documents, making the ability to operate effectively across very large datasets essential.
Everlaw is built for that scale, with a proven record across some of the largest and most impactful litigations and investigations of the past 15 years.
Everlaw users regularly handle matters with multi-million document counts, with the largest matter hosted on Everlaw containing over 239 million documents. Everlaw’s purpose-built tools make mastering that data easier than ever before.
Everlaw’s growing universe of AI integrations means that lawyers and legal professionals can now access Everlaw’s proven capabilities and massive scale no matter where their work is done.
Connecting Harvey to Everlaw allows teams to use Harvey while drawing on an evidence platform designed to ingest, organize, search, and analyze massive collections from Everlaw—helping legal professionals apply advanced AI capabilities from Harvey to the kinds of large, complex matters where finding the right facts, quickly can have a massive impact.
What the Everlaw and Harvey Integration Enables
With Everlaw’s integration, teams can leverage a growing range of Everlaw capabilities directly Harvey workflows.
Understand the Scope of Your Matters
AI agents can identify available Everlaw projects, binders, datasets, metadata fields, and processed uploads, helping establish the right matter context before deeper analysis begins.
Search and Interrogate the Evidence
Users can simply prompt Harvey, in natural language, to find the evidence that matters to them. Those requests will be translated into searches across Everlaw and relevant document sets retrieved, with access to information such as search structures, productions, codes, extraction fields, and Bates ranges.
Move More Quickly from Evidence to Insight
By bringing Everlaw search and analysis capabilities into broader AI-powered workflows within Harvey, teams can narrow large collections down to key documents, identify patterns and gaps, and accelerate early case understanding.
Access Operational Information Conversationally
Litigation support and administrative teams can also use supported Everlaw capabilities to access project, usage, and reporting information.
And this is only the beginning. This MCP integration provides an extensible foundation for connecting Harvey with the evidence and capabilities inside Everlaw as the integration between both platforms continues to evolve.
Building a More Connected Future for Legal AI
AI technology continues to evolve with unprecedented speed. The tools legal professionals prefer today may change, and new agents and workflows will continue to emerge.
Legal teams shouldn’t have to choose between adopting those innovations and maintaining control over their evidence.
By connecting Harvey with Everlaw, legal professionals have another way to bring advanced AI into their work while keeping evidence grounded in a platform built for the scale, complexity, and governance requirements of litigation and investigations.
It’s another step toward a more open legal technology ecosystem—one where legal teams can choose the AI tools that work best for them while keeping trusted evidence at the center.
