Everlaw Connects Its Evidence Platform to Gemini, Copilot, Harvey and CoCounsel

What Everlaw announced

According to Everlaw, the new integrations let lawyers reach case evidence and the platform's analytical tools from the AI environment where they already work. The company says its goal "is not to decide where lawyers should work," but to make the evidence and the analytical capabilities needed to use it available wherever that work happens.

Everlaw describes this role as the evidence layer for legal AI. External AI platforms can securely access information within Everlaw through technologies such as the Model Context Protocol (MCP), the company says. It adds that its analytical tools are designed to help humans, and now AI agents, make sense of massive datasets, evaluate evidence and build a defensible understanding of the facts.

Why a separate evidence layer

Everlaw argues that generative AI has made the drafting of legal work product addressable by technology, so legal work can now happen in a growing number of places. It points to frontier model builders such as Google, OpenAI and Anthropic, to Microsoft Copilot, and to legal-specific platforms including Harvey, Thomson Reuters CoCounsel Legal and Legora.

The company's view is that a model can draft a client update well, but questions such as what the record shows or what a person knew, and when, depend on access to the right evidence and the ability to analyze it correctly. Litigation and investigations, Everlaw says, impose requirements that a general intelligence layer should not have to rebuild: ingesting and processing complex data, searching it at scale, preserving permissions and chain of custody, and tying conclusions back to the record.

Everlaw distinguishes the evidence layer from the intelligence layer, where AI systems integrate sources, apply instructions and help create work product. The evidence layer, it says, supplies the trusted factual foundation for that work. It also says this is not only a data repository, because it brings the full capabilities of Everlaw's AI built for litigation and investigations to the wider AI ecosystem.

Deep Dive and the scale of evidence

Evidence rarely arrives as a tidy folder, the company notes. It can mean millions of emails, chats, spreadsheets, PDFs, images, transcripts and unusual file types that must be collected, processed, indexed, searched, reviewed, coded, redacted and produced.

Everlaw cites its Deep Dive feature as an example. According to the company, Deep Dive can answer natural-language questions across massive data sets and return supporting evidence and documents, instead of treating a handful of uploaded files as the full universe of relevant information. Everlaw says users have used it on databases of 20+ million documents without issue, and that its limits have not yet been reached. Through the evidence layer, such capabilities can be invoked from other tools.

An open approach and what it means for legal teams

Everlaw says it is pursuing an open approach because no one knows which AI interface lawyers will prefer in five years. Some teams may work in purpose-built applications, others in Microsoft tools, in platforms such as Harvey or Legora, or with frontier-model providers. Customers, it argues, should not have to predict the winner before making a technology decision today.

The company gives examples of how this could work. A lawyer in Thomson Reuters CoCounsel Legal could combine the factual record in Everlaw with Thomson Reuters' legal research. An attorney in Claude Cowork might use Everlaw within a customized, agentic workflow. In a typical flow, Everlaw identifies the factual record, such as communications showing notice or the chronology of key events, and another AI system combines it with legal research, prior work product and the lawyer's instructions to help draft a motion or analysis.

Everlaw also stresses that opening access to evidence cannot mean giving up control of it, noting that legal information comes with strict requirements around confidentiality, privilege, access control and defensibility. For legal teams, the pitch is a single evidentiary system of record usable across several AI tools, though the source text does not detail pricing or availability.