AI can monitor the regulation. Context tells it whether it matters to you.

The Legal AI race is no longer just about who has the smartest model.

For legal teams, the more important question is becoming:

A regulatory update is a good example.

A model may be able to summarise what changed. But before Legal can advise Product, Operations or HR, someone still needs to determine:

• which entity or product is affected;
• whether the update actually applies;
• what previous decisions or policies matter;
• what the business should do next.

That requires more than a powerful model.

It requires context.

That was the idea behind our recent workshop, Build Your Legal Brain: How to automate regulatory monitoring with Claude.

What we learned from building the workflow

When we first tested regulatory monitoring with an AI agent, we gave it the sources to monitor and instructions on what to look for.

It found relevant updates. But the output was still generic.

The missing layer was not more intelligence from the model. It was business context.

The agent did not know enough about the company to decide whether an update affected a specific entity, product, licence, agreement or internal function.

For this workflow, it combines:

• Role — what the agent is responsible for.
• Knowledge — regulatory knowledge and business context.
• Memory — previous monitoring runs, assessments and decisions.
• Skills — the step-by-step process the legal team follows when capturing, analysing and summarising an update.

Once that context is connected, the workflow can move beyond:

towards:

A smarter model is only one part of the system

This is also why recent enterprise AI adoption is interesting.

Barclays, for example, is expanding Claude across its operations for use cases including internal knowledge retrieval and routing incoming client emails.

The important part is not simply that Barclays is using a powerful model.

It is that AI is being placed inside a defined workflow, connected to the right information, and supported by governance and human oversight.

For legal teams, the same principle applies. The model provides intelligence. Context makes that intelligence useful for your business.

Build the workflow around your business

Our AI Enablement Program helps legal teams turn recurring legal work into structured AI-enabled workflows grounded in company context, trusted sources and defined review criteria.

Regulatory monitoring is one example.

The same approach can be applied to contract review, entity management, internal legal requests and other recurring legal processes.

A useful question to ask is:

If not, the problem may not be the model.

It may be the context around it.