Trusted knowledge creates better outcomes with iManage and Harvey

The legal profession runs on knowledge. Lawyers rely on prior matters, precedents, approved language, accumulated work product, and the institutional wisdom developed over years of practice. That information is often the difference between a good answer and the right answer.

Yet many AI tools operate without access to the context that legal professionals use every day. The result can be generic outputs that require additional validation and refinement before they can be trusted.

Harvey takes a different approach. They connect AI directly to the knowledge that already powers decision-making across the organization.

Bringing together trusted knowledge and legal AI

iManage serves as the knowledge foundation for your team’s work, helping you manage matter information, documents, precedents, governance policies, and security controls. Harvey provides AI-powered legal reasoning, drafting, review, analysis, and workflow capabilities. Together, they help your team apply AI to the knowledge they already trust.

The iManage connector is now available in Harvey’s Connector Library. The Connector Library is a growing repository of tools that legal teams rely on. Joint customers can now access their documents, matters, and work product stored in iManage directly within Harvey, so research, drafting, and analysis run on the full context of the firm’s knowledge.

Making trusted knowledge more accessible

For customers, the value is simple: thanks to the Model Context Protocol (MCP), it becomes easier for Harvey to securely access your governed knowledge in iManage and to extend AI capabilities across your workflows.

With the iManage and Harvey integration, you can:

• Connect Harvey and iManage through a standardized architecture

• Agentically search and access governed matter content

• Apply AI to trusted organizational knowledge

• Simplify future integration and innovation efforts

• Create a scalable foundation for enterprise AI adoption

Most importantly, existing governance and access controls remain intact, ensuring users — and Harvey — see only the information they are authorized to access.

What this looks like in practice

Consider a knowledge management team looking to analyze a large portfolio of agreements.

Using Harvey and iManage together, professionals can draw on agreements, precedents, and related matter content managed within iManage while leveraging Harvey to identify patterns, extract key terms, compare language, and generate insights at scale. Instead of relying on isolated document sets, the AI-assisted work is informed by a broader body of trusted organizational knowledge.

The value is not simply faster analysis. It is the ability to apply the collective expertise of the organization more consistently across matters and teams.

Delivering more value together

"Taking information out of iManage and into a third-party app breaks that train of governance. You lose the visibility and the audit trail. iManage MCP [via the Harvey Connector Library] keeps it in one governed place." - Nigel Johnson, IT Director at Finn Dixon & Herling

The future of legal AI is not simply about more powerful models.

It is about helping professionals apply trusted organizational knowledge more effectively across every matter, every client, and every workflow.

By combining the governed knowledge foundation of iManage with the legal reasoning and workflow capabilities of Harvey, you can unlock greater value from the knowledge you already possess while maintaining the security, governance, and control that legal work demands.

Learn how to connect iManage to Harvey, or contact your iManage or Harvey representative to get started.