Artificial Intelligence Can Help Simplify Rules and Reduce Red Tape

This interdisciplinary study combines research and practical perspectives from law-making and artificial intelligence. It demonstrates that such an AI-based application is feasible, provided the necessary technical and organisational foundations are in place:

1. Legal knowledge base: An AI application needs a comprehensive, up-to-date and quality-assured database of relevant rules and their interpretations to deliver reliable analyses. As a first step, the authors recommend focusing on publicly available legal norms.

2. Suitable methodological approach: The study identifies key requirements for successfully identifying and analyzing simplification potentials with AI and proposes suitable methodological approaches, each combining multiple AI techniques.

3. Reliable results: High reliability of the proposed approaches can be achieved by integrating automated preparation and validation steps. In addition, expert review of the AI results remains indispensable.

The study was produced under the direction of d-fine in cooperation with A&O Shearman, Fraunhofer IAIS, Lexemo and Prof. Dr. Florian Möslein (Philipps-University Marburg).