Comparing legal and regulatory approaches across jurisdictions

June marks a major leap forward headlined by early access to the next generation of CoCounsel Legal in the U.S. as well as major releases that push agentic capabilities into more jurisdictions and more of the everyday moments where lawyers are already working. From cross-border research and citation-level verification to a clause library reaching new markets, this month’s innovations reflect our ongoing commitment to Agentic AI grounded in deep legal expertise, and tools built for how modern legal teams actually work.

As a “tech-savvy” lawyer, this is how I use AI — and where I refuse to rely on it.

It’s important for us, as lawyers, to understand that AI is not intelligence, it is prediction.

It does not understand law. It recognizes patterns in how law has been written, argued, and interpreted before. This distinction matters more than most people realize.

In my practice, AI has become an instrument of acceleration — but never a substitute for judgment.

- I use AI to interrogate large volumes of information quickly.
- To identify structural patterns across agreements.
- To compare regulatory approaches across jurisdictions.
- To test the internal consistency of legal reasoning.

It compresses hours of mechanical effort into minutes. But as lawyers, it’s important for us to understand that law is not a mechanical profession, it is a profession of consequence.

AI can tell you what is typical. It cannot tell you what is safe.

It can identify what has been done before. It cannot evaluate what should never be done.

It does not bear liability.
It does not exercise fiduciary responsibility.
It does not understand risk in the way a human advisor must.

The greatest risk of AI in law is not that it will be wrong. It is that it will sound right. Create a nice attractive graphic also for this list

Which is why the real shift is not technological. It is cognitive.