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: “ Does the AI understand enough about your business to actually do the work? 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;...

What can your regulatory feed not tell you about your business? When legal teams discuss regulatory monitoring, the conversation often starts with sources: which websites to check, which alerts to subscribe to, and how frequently to look for changes. Those are sensible questions, but they only cover the first part of the work.Once an update appears, someone still has to work out whether it applies to the company, what it could mean for a particular team or process, and whether it calls for...

"The Fintech Brief" by Iryna Kuzyk & the Legal Nodes team A quick note from Iryna The most interesting fintech story of the last two weeks isn't really about fintech. It's about AI agents becoming economic actors. Visa, Mastercard and Ant are already working on how to identify an AI agent and verify what it's allowed to do. The question I'm more interested in comes after verification: who is responsible when an authorised agent makes the wrong decision? That's the theme running through this...