The short answer: It helps, but it’s far from a comprehensive solution. Let’s explore where RAG works and where it fails.

The term “derived data” has always been a messy grey area in market data contracts. In the era of Generative AI and LLMs, it’s officially broken.

During an M&A deal, corporate restructuring, or post-merger integration, the focus is naturally on the big ticket items: IP, employment contracts, and major client accounts.
While reviewing and renewing data licenses during a corporate transition feels like an extra headache you don't need, ignoring it creates major exposure to audit penalties and sudden service disruptions.

The industry has crossed a significant threshold: machine-readability is no longer just a feature; it has become the new licensing bottleneck.

How is your organization addressing the challenges between enterprise AI deployment and data entitlement limitations?

It All Begins Here