Summary
Matthias Grabmair is an Assistant Professor of LegalTech and systems scientist who blends legal training with AI to advance intelligent legal information management and dialogue systems. With a Diplom-Jurist, an LL.M. (magna cum laude) and a Ph.D. in Intelligent Systems, his work spans knowledge representation, computational argumentation, NLP, applied ML and information retrieval. He has over a decade of experience bridging academia and applied research, having trained under Kevin Ashley and completed a postdoc with Eric Nyberg before joining TUM. Matthias focuses on (Legal) Knowledge Engineering and (Legal) Data Science, translating complex juridical concepts into formal, machine-readable models. Based in Mainz, Germany, he teaches while leading research that connects classical legal scholarship with modern conversational AI—often surfacing insights about how legal reasoning systems can support rather than replace human judgment.
11 years of coding experience
Master of Laws (LL.M.), Law, magna cum laude, Master of Laws (LL.M.), Law, magna cum laude at University of Pittsburgh School of Law
Dipl.-Jur-(Univ.), Law, Dipl.-Jur-(Univ.), Law at Universität Augsburg / University of Augsburg
Doctor of Philosophy (Ph.D.), Intelligent Systems, Doctor of Philosophy (Ph.D.), Intelligent Systems at University of Pittsburgh
German, English, Turkish, French