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

LawVu announced on November 11, 2026 that five enterprise and legal AI tools — Anthropic's Claude, Microsoft Copilot, OpenAI's ChatGPT, Harvey and Legora — can now connect to its LegalOS platform. The connections are available immediately and require no custom development.

The integrations run through the LawVu MCP Server, built on Model Context Protocol, an open standard for linking AI tools to external systems. LawVu says the server exposes more than 50 actions for reading and updating LegalOS data, letting assistants work with matters, contracts, legal spend and company knowledge under the user's existing permissions. That removes the need for legal teams to reconstruct the same context in separate chats for each tool.

The move matters because legal departments now select assistants the way they select other enterprise software: by fit, not by loyalty to one vendor. LawVu has positioned itself as the constant in that arrangement — the governed layer holding records, permissions and audit trails — while the assistant on top changes.

"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 LawVu 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. The split between reading and writing is explicit:

• Read access covers matter conversations, legal notes, files and status updates, as well as contract documents and key dates.
• Write functions include creating matters and contracts through LawVu's wizard, posting status updates, creating and assigning tasks, and triggering contract workflows.

In LawVu's Copilot example, a lawyer asks which vendor contracts will automatically renew in the following quarter. The assistant returns an answer drawn from the team's LawVu contract repository, and the lawyer assigns a review task to a colleague without leaving Copilot. The example combines retrieval with action: the response draws on stored legal records, and the resulting work writes back to the system where the team already tracks it.

A LawVu guide published September 29, 2026 describes further use cases. One compares customer contracts with corresponding opportunities in a customer relationship management system to flag differences in dates, values or terms. Another produces 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 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.

Every action taken through MCP appears in LawVu's activity log in the same way as actions performed directly in the product. That gives legal operations teams a single audit trail regardless of which assistant a lawyer uses.

How do customers turn it on?

Activation is not automatic. The process has three steps:

1. A customer must request the MCP Server feature from LawVu.
2. An organization administrator must enable it on the Integrations screen.
3. 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.

What about security outside LegalOS?

LawVu's controls stop at the boundary of its own platform. When a query involves LawVu data, the relevant information transmits to and is 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 names the specific threats legal teams should weigh:

• Prompt injection, where instructions hidden in content manipulate a model
• Risks from third-party MCP servers
• Deceptive tool naming
• Unintended autonomous actions

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

Why does this matter for in-house legal teams?

The practical change is that several assistants can now query and act on the same LegalOS records under a common permissions model. A department running Copilot for some lawyers and Claude for others no longer needs parallel workflows or duplicated context-building; both tools read and write the same governed records.

The governance burden is correspondingly shared. LawVu supplies the access controls and the audit trail. Customers must assess external AI tools' deployment and data practices, and they must supervise automated changes to legal records — the human-confirmation step LawVu recommends where possible.

The November 11 release extends work LawVu began earlier in the year. The company introduced the MCP Server on June 2, 2026, initially presenting it as a way to connect tools including Claude, ChatGPT and Microsoft Copilot to governed legal records and workflows. The five supported tools announced this week — Claude, Copilot, ChatGPT, Harvey and Legora — represent the current state of that rollout, with the OAuth-based server URL as the path for everything else.

For legal software, the bet is that the durable asset is not the assistant but the governed record layer beneath it. Kidd's framing makes the wager explicit: tools will rotate in and out of favor, and the foundation — permissions, records, audit trails — should not move with them. Whether enterprises accept shared governance responsibility for what happens after data leaves LegalOS will determine how fast that bet pays off.