Connect Streamline AI’s data to any AI Assistant
Legal and business teams are already using AI tools for their day-to-day work: querying data, pulling statuses, getting quick summaries. But those tools are only as useful as the data they can access. The Streamline AI MCP Connector makes your legal data accessible from any AI assistant your team already uses, without logging into Streamline AI or asking someone to pull a report.
Legal teams work in Streamline
The MCP Connector brings the power of Streamline to everyone else where they already work.
Ask questions from wherever you work
A CLO can ask a plain-language question about matter volume or team capacity and get a trustworthy answer in seconds, without opening Streamline AI.
Check status without switching tools
A business stakeholder can check the status of a request through Glean or Copilot without being routed into a new system.
Pull numbers mid-meeting
A legal ops leader can pull the numbers they need mid-meeting, in context, without breaking their workflow.
No new infrastructure to manage
The connector operates using Streamline AI's existing API endpoints. Set up in seconds, it ensures the maintenance for IT and LegalOps is minimal: there's no separate data pipeline to maintain, no duplicate storage, and no new infrastructure to manage.
Ask questions from wherever you work
A CLO can ask a plain-language question about matter volume or team capacity and get a trustworthy answer in seconds, without opening Streamline AI.
Check status without switching tools
A business stakeholder can check the status of a request through Glean or Copilot without being routed into a new system.
Pull numbers mid-meeting
A legal ops leader can pull the numbers they need mid-meeting, in context, without breaking their workflow.
No new infrastructure to manage
The connector operates using Streamline AI's existing API endpoints. Set up in seconds, it ensures the maintenance for IT and LegalOps is minimal: there's no separate data pipeline to maintain, no duplicate storage, and no new infrastructure to manage.
Built on MCP, the open standard for connecting AI to your data
MCP (Model Context Protocol) is the open standard for connecting AI assistants to external systems, supported by major providers including OpenAI, Google, and Anthropic, and now spoken by hundreds of AI clients. When an AI client makes a request, the connector authenticates it against your Streamline AI instance and routes it through the same APIs that power the Streamline AI product itself. With a single URL and no custom engineering required, any compatible AI client can connect directly to Streamline AI.
Compatible AI clients include Claude, ChatGPT, Gemini, Glean, Microsoft Copilot, Cursor, Windsurf, GitHub Copilot, Zed, Replit, Sourcegraph Cody, and any other MCP-compatible assistant your team uses today or adopts in the future.
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