Everlaw Connects Its Evidence Platform to Google's Gemini Enterprise via MCP

What the integration does

The integration lets legal professionals connect Gemini Enterprise with Everlaw and work with case information without exporting sensitive data or rebuilding context in another system. Everlaw says the aim is to avoid disconnected workflows that are hard to govern.

Everlaw describes itself as the discovery-grade evidence layer, covering documents, metadata, searches, analytics and matter structures. Gemini Enterprise acts as the intelligence layer that understands information and orchestrates work across enterprise systems. The MCP integration joins the two.

Max Christoff, Chief Technology Officer at Everlaw, said the integration gives Gemini Enterprise access to capabilities focused on the evidence record, including search and document and metadata retrieval. He said access is governed in real time by the user's own permissions.

Use cases described by Everlaw

Everlaw outlines three common workflows, while saying there is "no ceiling on potential applications" to a customer's Everlaw data.

• Search and analyze evidence: A lawyer can ask Gemini to find documents in an investigation that discuss revenue recognition in the fourth quarter and summarize the main individuals and issues. Gemini translates the request into supported Everlaw searches and returns structured results. Users can follow links back to Everlaw to review the underlying documents in context.
• Multi-step case workflows: A lawyer preparing for a deposition could have Gemini retrieve documents from an Everlaw binder, narrow them by date and custodian, identify recurring topics, and produce a structured chronology or preparation outline.
• Rapid matter orientation: Users can ask Gemini to identify Everlaw projects, binders, datasets, metadata fields and processed uploads, for example by requesting active projects and ingestion history over the past month. Gemini can then present the information as an explanation, report or visualization.

Governance and permissions

Everlaw stresses that litigation data is sensitive and that any link between AI and the evidentiary record must preserve control over who can access information. The integration operates through Everlaw's existing permission model, so users can reach only the projects and information they are already authorized to view.

Everlaw says this gives organizations a sanctioned way to connect AI with live matter data while keeping a clearer governance framework for confidentiality, defensibility and oversight.

An open approach and what it means for legal teams

Everlaw argues that legal teams are unlikely to rely on a single AI environment, since firms and corporate legal departments already work across enterprise assistants, legal-specific AI products, native agents and internally built applications. Its MCP integrations are meant to let customers choose the AI tools that suit them while Everlaw remains the evidence backbone underneath. According to the company, this reduces the need to move discovery data between systems.

Everlaw also says the integration widens access to capabilities that once required technical resources. Through Gemini Enterprise for Legal, lawyers and investigators can use supported Everlaw functionality conversationally, without writing scripts or relying on engineering teams for each custom analysis.

Satish Thomas, Vice President at Google Cloud, said the connection makes it easier for legal teams to understand complex matters faster and surface key facts earlier. Julie Brown, Director of Practice Technology at Vorys, said connecting platforms like Gemini to Everlaw could help teams get oriented to matters faster and generate insights with confidence in the underlying record.

Customers who want to learn more are directed to contact their Everlaw account team. The source does not give pricing or details on availability beyond mutual customers of Everlaw and Google Cloud.