Legal Compliance Engineering for Operational Safety in High-Risk Algorithmic Environments

Abstract

The rapid deployment of algorithmic systems in critical sectors such as defense, healthcare, finance, autonomous transportation, and energy infrastructure has introduced unprecedented operational risks. Legal compliance is no longer a post-deployment activity but has evolved into an engineering discipline embedded directly within system design. This paper explores the concept of legal compliance engineering and argues that operational safety in high-risk algorithmic environments depends on the technical integration of legal norms, regulatory logic, and safety-by-design principles into intelligent systems.