Casepoint releases MCP Server to empower customer-choice AI across legal and government workflows

Casepoint, a leader in AI-powered legal, investigative, regulatory, and compliance solutions for government agencies and enterprises, is releasing the Casepoint Model Context Protocol (MCP) Server, enabling organizations to connect their AI models, agents and AI ecosystems with the Casepoint platform across eDiscovery, legal hold, investigations, FOIA, and other legal and compliance workflows.

Built on the open Model Context Protocol (MCP) standard, the Casepoint MCP Server provides a secure, standardized integration layer between external AI agents and the Casepoint platform, according to the company.  

“The future isn’t a walled garden approach. In addition to delivering a suite of powerful AI capabilities within our platform, we are also giving customers the flexibility to build their own agents using the models and ecosystems they trust,” said Pete Feinberg, chief product officer at Casepoint. “We are committed to providing a secure, standards-based foundation that allows those agents to interact with Casepoint while preserving governance, permissions, and customer control.”

The initial release of the Casepoint MCP Server includes capabilities across Casepoint eDiscovery, Legal Hold, and FOIA applications. Customers can securely retrieve review batch status, reviewer productivity metrics, custodian reports, legal hold statuses, FOIA request status, FOIA Annual Report data, and additional operational insights. 

Every MCP request executes using the authenticated user’s existing permissions, ensuring AI agents never gain access beyond what the user is authorized to view or perform within Casepoint. Designed for government agencies and highly regulated enterprises, Casepoint’s MCP server extends the same enterprise-grade security foundation that powers Casepoint’s legal hold, eDiscovery, investigations, FOIA, and other critical workflows, the company said.

“AI innovation must be built on a foundation of security, governance, and trust,” said Sundhar Rajan, chief information security officer at Casepoint. “The Casepoint MCP Server extends our Zero Trust security model by ensuring every AI interaction is authenticated, authorized, fully auditable, and governed by the same role-based permissions that protect the Casepoint platform today. This enables organizations to confidently adopt AI while meeting the stringent security and compliance requirements expected in highly regulated environments.” 

The MCP server establishes a foundation for expanded AI connectivity across the Casepoint platform as customers evaluate new models, tools, and workflows.

Future releases will continue expanding the MCP Server function library with additional capabilities, enabling customers to integrate AI more deeply across legal, regulatory, investigative, and compliance workflows, said Casepoint.

For more information about this news, visit www.casepoint.com.