Lost in Translation: How AI Exposes the Rift Between Law and Logic

The increasing use of AI is amplifying the long-standing friction between legal and IT departments, as legal principles are often too ambiguous for technical implementation. This gap leads to compliance risks and wasted effort, as traditional legal oversight cannot keep pace with the scale and speed of AI-driven data processing. A proposed solution is "observable compliance," which involves encoding legal intent into machine-readable data contracts that govern data products. This framework allows for automated validation of data usage, replacing error-prone human handoffs with structured, architecture-aware controls.