TUM Legal Tech Group

The professorship in Legal Tech conducts research and development around the application of methods from artificial intelligence, machine learning, data science, natural language processing, and knowledge engineering towards solving tasks and problems arising in the practice of law and public administration. High level goals are to:

• Support judicial decision making
• Facilitate access to justice
• Enable effective research in collections of legal documents
• Enhance processes in public administration and legal practice

Currently, specific technical areas of focus include:

• Natural language processing of legal text, in particular with regard to effectively combining it with legal expertise
• Information retrieval on legal text
• Computational models of legal inference and argumentation (i.e. rule- and case-based reasoning)