LawVu Opens LegalOS to Claude, Copilot, ChatGPT, Harvey and Legora

Legal software provider LawVu has connected five enterprise and legal AI tools — Anthropic's Claude, Microsoft Copilot, OpenAI's ChatGPT, Harvey and Legora — to its LegalOS platform, with the connections live as of November 11, 2026 and requiring no custom development.

The links run through the LawVu MCP Server, built on Model Context Protocol, an open standard for connecting AI tools to external systems. LawVu says the server exposes more than 50 actions for reading and updating LegalOS data. Assistants can work with matters, contracts, legal spend and company knowledge under the user's existing permissions, cutting the need for legal teams to rebuild the same context in separate chats.

LawVu first introduced the MCP Server on June 2, 2026, positioning it as a way to connect tools including Claude, ChatGPT and Microsoft Copilot to governed legal records and workflows.

"LawVu carries that context to whichever tool the legal team or the business picks, with the same permissions and governance each time. The tools will change but legal's foundation shouldn't have to," said Sam Kidd, LawVu's co-founder and CEO.

What can the connected assistants actually do?

The MCP Server documentation lists natural-language searches across matters, contracts and legal knowledge, plus matter and contract summaries and answers grounded in an organization's own policies. Read access covers:

• matter conversations, legal notes, files and status updates
• contract documents and key dates

Write functions include:

• creating matters and contracts through LawVu's wizard
• posting status updates
• creating and assigning tasks
• triggering contract workflows

In LawVu's Copilot example, a lawyer asks which vendor contracts will automatically renew next quarter, gets an answer drawn from the team's LawVu contract repository, and assigns a review task to a colleague without leaving Copilot. The example pairs retrieval with action: the response uses stored legal records, and the resulting work is written back to the system where the team tracks it.

A LawVu guide published September 29, 2026 describes comparing customer contracts with corresponding opportunities in a CRM system to flag differences in dates, values or terms. It also covers leadership summaries whose points link back to LawVu records for verification. The division of labor is deliberate: the AI tool handles comparison and presentation, while LawVu supplies legal context and source links for checking.

How do permissions and activation work?

Under LawVu's documented permissions model, a connected assistant receives no elevated access. It acts for the authenticated user under that person's existing access level, role-based permissions and record or team membership. A user who cannot open a matter or contract in LawVu cannot retrieve it through the AI tool. Actions taken through MCP appear in LawVu's activity log in the same way as actions performed directly in the product.

Activation is not automatic. A customer must request the MCP Server feature from LawVu, an organization administrator must enable it on the Integrations screen, and the selected AI platform must then be configured. LawVu lists official connectors for Claude and Harvey and an official plugin for ChatGPT/Codex. Other MCP-compatible platforms can use LawVu's server URL with OAuth 2.0 authentication where applicable.

Who controls the data once it leaves LegalOS?

LawVu's controls stop at the boundary of its own platform. When a query involves LawVu data, the relevant information is transmitted to and processed by the selected AI provider. LawVu says it does not control that provider's subsequent data handling and advises customers to review its processing terms and privacy policies against their own governance obligations.

The documentation flags prompt injection — where instructions hidden in content can manipulate a model — alongside risks from third-party MCP servers, deceptive tool naming and unintended autonomous actions. Recommended controls include:

• granting minimum necessary access
• using verified tools and servers
• reviewing audit logs
• starting with a defined group of early adopters
• requiring human confirmation before AI-initiated record changes where possible

For in-house legal teams, the practical shift is that several assistants can query and act on the same LegalOS records under a common permissions model. The governance burden is shared: LawVu supplies access controls and an audit trail, while customers must assess external AI tools' deployment and data practices and supervise automated changes to legal records. The deal terms put the burden of vetting external providers squarely on the customer side of the line.