Machine learning (ML) offers vast potential for transforming the management and processing of building permitting data, a critical aspect of urban planning and development. The application of ML in this domain can significantly enhance efficiency, accuracy, and decision-making processes. To understand how machine learning can be effectively applied to building permitting data, it is essential