Project Group Legal Informatics
What we do
The LEGAL INFORMATICS project group conducts research at the intersection of law and generative AI.
At the center lies the question of how legal work can be structured, supported, and analyzed using methods from generative computer science.
So far, generative AI has operated mostly at the periphery of legal practice and only occasionally enters the core domain of legal reasoning and application. Its further development depends largely on whether different types of legal texts—statutes, court decisions, administrative orders, administrative regulations, commentaries, and textbooks—can be transformed into reliable, transparent, and machine-readable data structures that models can process consistently and accurately.
In the field of Legal Data Science, the focus is on structuring, annotating, and analyzing legal data, as well as developing methods that enable robust and transparent use of legal sources by AI systems.
As a central cross-cutting topic, the project group also investigates bias in AI systems. Key questions include whether and to what extent bias can be avoided, how it can be measured, and which approaches are suitable for detecting and controlling normative distortions.
Under the direction of Professor Schenke, four research associates work on these focal topics and develop concepts for structuring, analyzing, and using legal data in AI-based applications. On this page, you will find current research results, publications, and information on ongoing projects, including dissertations and doctoral research.
Publications in German
Philipp D. Beck/Marianus Ifland/Jörn Kronbach/Frank Puppe/Ralf P. Schenke, Semi-automatische Korrektur von juristischen Lösungsskizzen, ZDRW 2016, S. 242-251
Simon Kremser, 29. Würzburger Europarechtstage – Zukunftsfähige Regulierung Künstlicher Intelligenz durch die EU?, NVwZ 2025, S. 1245-1247
Simon Kremser/Tim Leibold/Ralf P. Schenke, Urteile sind Bäume, KIR 2025, S. 318 - 326
Tim Leibold, Umbruch im Rechtsmarkt: Die Sechste Legal Revolution am 17. und 18.9.2025 in Würzburg, LTZ 2026, S. 46 - 50
Tim Leibold/Simon Kremser, Architektur und Funktionsweise Großer Sprachmodelle, Tagungsbeitrag zu den 29. Würzburger Europarechtstagen (im Erscheinen)
Externally Founded Projects
Lecture
- Lecture Sommer Semester 2025: Programmieren für Juristen (Schenke)
- Prelimimary Work Summer Semester 2026: Konversatorium Legal Prompt Engineering
Tagungen
| 11th German–Korean Symposium on Comparative Administrative Law: Legal Issues of Using AI in Administrative Law | 19. – 23. September 2024 |
| 29th European Law Days: Future-Proof Regulation of Artificial Intelligence by the European Union? | 8. – 9. November 2024 |
Legal Revolution 2025, Würzburg: Discussion Panel | 18. September 2025 |
