The aim of this project is to design a hybrid Artificial Intelligence (AI) platform that integrates codified regulatory knowledge (across regional, national, and EU jurisdictions) with data-driven analysis of previous permit applications and associated decisions. This integrated approach aims to establish the foundational infrastructure for automated, context-sensitive compliance assessment. Particular emphasis will be placed on scenarios where identical regulations are interpreted differently depending on regional or local context. The objective is to leverage AI techniques to learn mappings between contextual attributes (e.g., geographic location, project characteristics) and likely interpretative outcomes.