This article introduces a novel hybrid edge‑cloud generative AI framework that creates real‑time compliance evidence while embedding differential privacy. It explains the architectural components, data flow, privacy budget management, and how edge inference, cloud‑scale LLMs, and secure aggregation combine to meet strict regulatory timelines and privacy mandates.