ARTICLE
16 September 2025

Artificial Intelligence Can Help Simplify Rules And Reduce Red Tape

AO
A&O Shearman

Contributor

A&O Shearman was formed in 2024 via the merger of two historic firms, Allen & Overy and Shearman & Sterling. With nearly 4,000 lawyers globally, we are equally fluent in English law, U.S. law and the laws of the world’s most dynamic markets. This combination creates a new kind of law firm, one built to achieve unparalleled outcomes for our clients on their most complex, multijurisdictional matters – everywhere in the world. A firm that advises at the forefront of the forces changing the current of global business and that is unrivalled in its global strength. Our clients benefit from the collective experience of teams who work with many of the world’s most influential companies and institutions, and have a history of precedent-setting innovations. Together our lawyers advise more than a third of NYSE-listed businesses, a fifth of the NASDAQ and a notable proportion of the London Stock Exchange, the Euronext, Euronext Paris and the Tokyo and Hong Kong Stock Exchanges.
Overlaps, contradictions and inconsistencies in rules create legal uncertainty, impose bureaucratic burden on businesses and hamper innovation—especially in highly regulated sectors.
Germany Technology

Overlaps, contradictions and inconsistencies in rules create legal uncertainty, impose bureaucratic burden on businesses and hamper innovation—especially in highly regulated sectors. Artificial intelligence (AI) can reliably identify simplification potential of rules and support efforts to streamline the regulatory framework—provided the right conditions are in place. This is the conclusion of the "Feasibility study on an AI-based application for identifying the simplification potential of regulations," conducted on behalf of the Federal Ministry of Finance (BMF) under the leadership of d-fine.

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).

"The collaboration with d-fine on this study has impressively demonstrated how important it is to combine legal expertise with analytical and technological know-how in order to develop innovative and practical solutions for our clients. The insights gained provide valuable impetus for the entire industry and highlight the importance of interdisciplinary approaches in an increasingly digitalized world," explains counsel Dr Jens Wagner, who was involved in the study on behalf of the firm.

d-fine is the leading European consulting firm in the fields of data analytics, AI, and technology. The company, with offices in Germany, Switzerland, Austria, the United Kingdom, Italy, Sweden, and the Netherlands, has over 1,800 employees with academic backgrounds in physics, mathematics, or computer science. Its clients include organizations from the financial sector, the energy industry, and the public sector.

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

Mondaq uses cookies on this website. By using our website you agree to our use of cookies as set out in our Privacy Policy.

Learn More