Introducing Everlaw’s Google Gemini Enterprise MCP Integration
Access and analyze Everlaw case data through Gemini Enterprise for Legal while Everlaw remains the governed system of record.
Legal professionals are adopting AI across a growing mix of enterprise assistants, legal applications, and agentic workspaces.
Yet the value of those tools depends on their ability to reach the evidence that matters—without requiring teams to export sensitive case data, rebuild context in another system, or create disconnected workflows that are difficult to govern.
That is why Everlaw is partnering with Google Cloud to introduce an integration between Everlaw and Gemini Enterprise through the Model Context Protocol, or MCP.
With the Everlaw MCP integration, released today as part of Google Cloud’s Gemini Enterprise for Legal, mutual customers can connect Gemini Enterprise with Everlaw. Legal professionals now have a natural-language way to access case information, analyze documents, and complete supported workflows, all anchored to live data directly from their Everlaw matters – bringing the evidence that grounds all legal work directly to tools like Gemini.
Connecting Gemini Enterprise to the Evidence Behind Legal Work
Gemini Enterprise gives organizations a powerful intelligence layer for understanding information and orchestrating work across enterprise systems.
Everlaw provides the discovery-grade evidence layer: the documents, metadata, searches, analytics, and matter structures on which litigation and investigations depend – and the technology that can drive rapid insights across millions of documents.
The integration connects those two layers.
“As legal teams adopt more AI tools, the real unlock is not just great intelligence. It is secure, governed access to the evidence and matter context those tools need in order to be useful for litigation or investigations,” said Max Christoff, Chief Technology Officer at Everlaw. “Our MCP integration enables Gemini Enterprise to access a powerful set of Everlaw capabilities focused on working directly with the evidence record—including search, document and metadata retrieval needed by legal professionals. Access to the evidence in Everlaw is governed in real time by the user’s own permissions, whether asking a quick, one-off question about a complex document or asking Gemini to plan multi-step research about the case.”
“We’re excited to partner with Everlaw as legal professionals increasingly turn to AI to navigate growing volumes of information and accelerate complex investigations,” said Satish Thomas, Vice President, Google Cloud. “By connecting Gemini Enterprise with Everlaw’s trusted platform for litigation and investigation data, we’re making it easier for legal teams to understand complex matters faster, surface key facts earlier, and use AI with greater confidence in the underlying evidence.”
What Legal Teams Can Do with Gemini Enterprise and Everlaw
Everlaw’s MCP integrations are designed to support a broad range of workflows, from initial matter orientation to corpus analysis and operational reporting. Here are some common use cases, but there is no ceiling on potential applications to your Everlaw data.
Search and Analyze Case Evidence
Legal professionals can use natural-language instructions to search Everlaw data, retrieve relevant document sets, and analyze the resulting information.
A lawyer might ask Gemini to:
“Find documents in the investigation that discuss revenue recognition during the fourth quarter and summarize the principal individuals and issues involved.”
Gemini can translate that request into supported Everlaw searches, retrieve structured results, and help the user assess patterns, relationships, and potential gaps. Users can then follow links back to Everlaw to review the underlying documents in context – connecting their Gemini experience directly to the evidentiary system of record.
Create Multi-step Case Workflows
The integration can also support more complex sequences that combine search, retrieval, metadata analysis, and synthesis.
For example, a lawyer preparing for a deposition could ask Gemini to retrieve documents from an Everlaw binder, narrow them by date and custodian, identify recurring topics, and produce a structured chronology or preparation outline.
These workflows can help teams move more efficiently from raw data to case understanding, investigative direction, and litigation strategy.
Rapid Matter Orientation
Users can ask Gemini to identify relevant Everlaw projects, binders, datasets, metadata fields, processed uploads, and other matter structures.
For example, a user might prompt Gemini to:
“Show me my active Everlaw projects and ingestion history over the past month.”
This gives Gemini the context needed to work within the correct organization, database, project, and document population before beginning deeper analysis.
Gemini can organize the underlying Everlaw information into a clearer explanation, report, or visualization for further analysis.
Building an Open Foundation for Legal AI
Legal teams are unlikely to rely on a single AI environment. Firms and corporate legal departments are already working across enterprise assistants, legal-specific AI products, native agents, and internally developed applications.
Everlaw’s approach is to make governed evidence securely accessible across that evolving ecosystem.
MCP integrations allow customers to use the intelligence-layer tools that suit their organization while maintaining Everlaw as the consistent evidence backbone beneath them. This open architecture reduces the need to move discovery data between systems and gives teams greater flexibility as models, applications, and working practices continue to change.
It also expands access to capabilities that previously required technical resources. Through Google Cloud’s Gemini Enterprise for Legal, lawyers, investigators, and legal professionals can interact conversationally with supported Everlaw functionality without writing scripts or relying on engineering teams for every bespoke analysis.
Leading legal teams are embracing this approach.
“As our team expands its use of AI tools, we’re excited about the opportunity to connect platforms like Google Gemini directly to Everlaw, so we can get oriented to matters faster, surface important facts earlier, and generate insights with confidence in the underlying record,” said Julie Brown, Director of Practice Technology at Vorys.
Built With the Governance Legal Work Requires
Litigation data is sensitive, complex, and consequential. Any connection between AI and the evidentiary record must preserve control over who can access information and how that information is used.
The Gemini Enterprise integration is designed to operate through Everlaw’s existing permission model. Users can access only the projects and information they are already authorized to view in Everlaw. Users may interact with litigation data via Gemini Enterprise, without losing control over where case data lives and how it is accessed.
With Everlaw as the evidentiary system of record and Gemini Enterprise as a powerful intelligence layer, organizations have a sanctioned way to connect AI with live matter data while maintaining a clearer governance framework for confidentiality, defensibility, and oversight.
Advancing Agentic Legal Work
AI is increasingly moving beyond isolated drafting and summarization. Agents can now coordinate activity across systems, combine multiple tools, and execute longer sequences of work from a single instruction.
For those capabilities to deliver value in litigation and investigations, they need governed access to the right evidence.
The Everlaw and Gemini Enterprise MCP integration provides that connection. It brings Gemini’s intelligence and orchestration capabilities together with Everlaw’s litigation-grade search, analytics, and evidence management, helping teams develop faster and more connected workflows grounded in the facts of the matter.
To learn more about Everlaw's MCP integrations, contact your Everlaw account team or schedule a meeting here.
