Streamline AI, the leading AI operating platform for in-house legal teams, today announced Streamline Slack Intake Agent and Streamline MCP Connector, two new AI capabilities designed to make Legal a more connected, responsive partner to the business. Together, they enable employees to engage legal where work begins and securely access trusted legal context where decisions are made.
Legal has become one of the most strategic functions inside high-growth organizations. Sales, marketing, HR, finance, procurement, and product teams depend on legal to review, guide, and enable critical business initiatives. As AI and collaboration tools reshape how work gets done, organizations need a faster, more connected way for employees to work with Legal without sacrificing governance or control. Streamline’s latest innovations remove friction on both sides of that relationship, helping the business move faster and with more precision.
“The speed of today’s business increasingly depends on the speed of legal,” said Kathy Zhu, CEO of Streamline AI. “When every team can work with legal more naturally, legal becomes more connected to the business, and the business moves forward with greater speed and confidence.”
The Streamline Slack Intake and Knowledge Agent brings legal intake directly into one of the places employees already work every day. Rather than searching for the right intake form or switching applications, employees simply describe what they need using natural language in Slack. The Slack Agent identifies the appropriate request type, captures relevant business context, requests any missing information, and creates a structured request inside Streamline. Legal teams continue to manage work within Streamline, where existing workflows, approvals, permissions, and governance ensure that every request is handled consistently and securely.
Once work is captured and managed in Streamline, the Streamline MCP Connector securely extends that trusted legal context to the AI tools businesses already use. Built on the emerging Model Context Protocol (MCP) standard, the connector securely extends Streamline AI to leading AI assistants, including Claude, ChatGPT, Gemini, Microsoft Copilot, and Glean. Employees can ask natural-language questions about legal matters, request status updates, approvals, reporting, and other legal information directly from their preferred AI assistant, reducing the need to search systems or interrupt legal for routine updates, while ensuring every response is permission-aware and grounded in the latest information.
Designed for enterprise environments, the MCP Connector authenticates users through OAuth 2.1, enforces the same user permissions that exist within Streamline, routes requests in real time without storing or caching customer data, and records every interaction in Streamline’s audit trail.
This launch marks another milestone in Streamline AI’s evolution from a platform that manages legal work to one that actively connects legal to the broader business. By bringing legal into Slack and leading AI assistants, Streamline continues expanding how legal teams collaborate, execute, and deliver value across the enterprise.
To see these new capabilities in action, register for a live demo on July 22, 2026 at 12:00 p.m. MT. To learn more about Streamline AI, visit streamline.ai.
About Streamline AI
Streamline AI is the in-house legal operating platform for the next-generation legal organization. Founded in 2020 by former DoorDash AGC Kathy Zhu and Google product lead Julian Wimbush, Streamline AI is built on firsthand experience of how in-house legal work gets done and where breakdowns occur. The Streamline AI platform uses a system of AI agents to triage demand, apply institutional knowledge, automate routine work, and aggregate context across intake, workflows, documents, and collaboration, so legal teams can focus their expertise where it matters most. Streamline AI is used by more than 1,000 lawyers in legal teams at industry leaders such as Gusto, 8×8, and Bloom Energy. For more information, visit www.streamline.ai.
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