Everlaw and Harvey Link Platforms to Bring Case Evidence into Legal AI

What the partnership covers

Everlaw, a litigation and investigations platform, says the integration is the first step in a long-term strategic partnership with Harvey, which offers an agentic legal AI platform. The companies plan multiple integrations that will deepen functionality across both products. One example Everlaw names is letting users work with a user-defined subset of Everlaw documents within Harvey.

The pitch rests on a simple argument: in litigation and investigations, the quality of AI-assisted work depends on access to the right evidence. Everlaw says that evidence can span millions of documents, complex metadata and years of communications, and that legal teams need their AI workflows tied to a governed, defensible source of truth.

Everlaw describes itself as the evidence layer behind the work, while Harvey provides the AI environment. Users in Harvey will be able to securely call into Everlaw, understand projects, search case data, retrieve relevant document sets and surface insights, all connected to one evidentiary system of record, according to the company.

What users will be able to do

Everlaw lists four main capabilities for the integration:

• Understand the scope of a matter: AI agents can identify available Everlaw projects, binders, datasets, metadata fields and processed uploads, which sets the matter context before deeper analysis.
• Search the evidence: Users can prompt Harvey in natural language. Those requests are translated into searches across Everlaw, and relevant document sets are retrieved, with access to information such as search structures, productions, codes, extraction fields and Bates ranges.
• Move from evidence to insight: Teams can narrow large collections to key documents, identify patterns and gaps, and speed up early case understanding.
• Access operational information: Litigation support and administrative teams can use supported Everlaw capabilities to get project, usage and reporting information conversationally.

Everlaw says this removes the need to move manually between systems or export matter data into disconnected workflows. Teams can instead use Everlaw's evidence capabilities inside Harvey, where they already work.

The scale argument

A large part of Everlaw's case is volume. The company says major litigation and investigations can involve tens or hundreds of millions of documents, and that its platform has a record across some of the largest litigations and investigations of the past 15 years. According to Everlaw, users regularly handle matters with multi-million document counts, and the largest matter hosted on the platform contains over 239 million documents.

Everlaw frames the Harvey connection as part of a growing set of AI integrations, so that lawyers can reach its capabilities and scale wherever their work is done.

What it means for legal teams

The integration is built on MCP, which Everlaw calls an extensible foundation for connecting Harvey with the evidence and capabilities inside Everlaw as the two platforms evolve. The company says legal teams should not have to choose between adopting new AI tools and keeping control of their evidence, and presents the partnership as a step toward a more open legal technology ecosystem.

For firms and corporate legal departments that use both products, the practical change would be one less handoff between an AI workspace and the evidence database. Details such as pricing and exact availability dates were not given beyond the fall 2026 target.