The regulatory affairs (RA) function within the medtech industry is managing an unprecedented surge in compliance complexity and volume, driven by major regulatory shifts like the EU's Medical Device Regulation and In Vitro Diagnostic Regulation and increased guidance from the US Food and Drug Administration (FDA). At the same time, generative artificial intelligence (genAI) has emerged, promising significant efficiency gains: up to a 75% reduction in content creation and billions of dollars in annual productivity savings, according to some sources. This article provides an overview of the role of genAI in regulatory operations, benchmarking model performance in RA-specific contexts, and highlighting key application areas. It also provides practical, actionable guidance for RA professionals and executives on defining robust use cases, securing executive buy-in, essential upskilling, and adopting best practices to ensure the safe, effective, and compliant implementation of genAI.