iManage + Microsoft Copilot Integration

As more organisations roll out Microsoft Copilot, the same point comes up early in the conversation. Firms want the benefits of AI, but they don’t want to introduce new risk or lose control of how their data is accessed and used.

For firms already using iManage, the integration is incredibly useful! It creates a way to introduce AI into everyday work without changing where your stuff lives, without weakening governance, and without forcing people to work differently just to see value.

Working from the content that already matters

The integration helps you pull from the right data at the right time. Copilot is not pulling from open sources or loosely connected data. It works with iManage as the system of record, which means every response is using your content that is (hopefully) already governed and permissioned. If it’s not, that’s a very different discussion and one we can help you with.

The result is very different from typical AI output. Instead of generic responses, you get answers that reflect the real work that you are doing every day.

Users only see material they are allowed to see, and existing controls around ethical walls, security policies and retention remain fully intact. This ensures that content remains within defined boundaries at all times, so nothing is surfaced or exposed beyond what a user is permitted to access.

That foundation is what makes it work well. As well as generating work quickly, you are using your own trusted sources.

This is also reflected within iManage itself:

Together with Copilot, this creates a consistent experience where AI is always working from trusted information, regardless of how it is accessed.

Where this starts to make a difference

The easiest way to understand the value is to look at how it fits into work that is already happening.

In Teams, relevant context can be introduced directly into the conversations

None of this requires people to leave the Microsoft applications they already use. Word, Outlook and Teams remain the interface, with iManage providing the content behind the scenes.

The result is the same workflow, supported by better access to the right information at the point it is needed.

What organisations can do today

Organisations can already connect iManage to Copilot, but it is important to understand how this works in practice.

At the moment, the connection is typically defined through a declarative approach. In other words, it tells Copilot how to interact with iManage content.

This gives you control over how responses are generated, how content is accessed and how governance policies are applied. In most enterprise environments, that level of control is expected rather than optional.

It also explains why the integration is not automatic. Access is deliberately defined, not assumed, which is part of what keeps the experience predictable and defensible.

Where this is heading

The integration is expanding to support a more consistent experience across Microsoft 365, with iManage content becoming accessible wherever Copilot is used, rather than being limited to a single application or entry point access across Microsoft 365.

There is work underway to simplify setup for organisations that do not want to build their own configuration, alongside a more standardised approach that reduces the effort needed to get started. At the same time, the model behind the integration is shifting.

With the introduction of the newer Microsoft Copilot extensibility model, including federated connectivity, iManage content is no longer tied to a single Copilot experience. It becomes accessible wherever Copilot is used across Microsoft 365. That changes how you should think about your integration. You’re making your trusted knowledge available as part of the Copilot layer itself rather than connecting one application.

This is what starts to turn the integration from something you deploy in one place into something that supports how people work across the whole Microsoft environment.

Control is the point, not a constraint

A common misconception is that governance limits what AI can do, but in practice, it is what allows it to be used safely at all.

Because Copilot is grounded in iManage, you retain clear control over who can access what. Responses are tied back to governed content, and activity can be traced if needed. This givcs your environment accuracy, accountability and client expectations cannot be compromised.

It also has a direct impact on quality. When AI is working from curated material rather than mixed or unverified sources, the output is not only safer, it is more relevant.

Why this is becoming relevant now

Copilot has created a clear opportunity to improve productivity, but it has also made the underlying data question far more visible.

Firms that are moving forward tend to have one thing in common. They are not looking at AI in isolation, they are thinking about how it fits into existing controls, existing systems and existing client expectations. That is why this conversation shows up most often in legal teams, professional services and other regulated environments where the cost of getting it wrong is high.

When AI is working from ungoverned content, the risk is obvious. When it is grounded in structured, permissioned knowledge, the outcome is very different. The combination of iManage and Copilot gives organisations a way to use AI without stepping outside the controls you already rely on.

How Quorum can support you

The technology is available, but adoption can be inconsistent and often left to individuals. That gap between capability and real usage is where Quorum focuses. As the only UK-based iManage Implementation Partner and Microsoft Cloud Solutions Provider, we are able to bring the two together in a way that gets the best out of each, rather than treating them as separate capabilities.

The role is not to replace either platform. It is to make sure they work together in a way that delivers consistent outcomes rather than isolated use cases.

That means helping firms define where Copilot adds value, how it should be used across different teams and how governance applies in day to day scenarios rather than just at a system level. It also means focusing on repeatable patterns so adoption can scale instead of relying on individual experimentation.

The end result is not just access to AI, it is a structured and reliable way of using it in practice. If you’re exploring how AI can fit into your iManage environment, contact us today.