I am a legal theorist who uses empirical and computational methods to investigate courts and answer classical jurisprudential questions. I analyze legal argumentation through content analysis and state-of-the-art NLP to better understand judicial decision-making. My overarching aim is to bridge legal theory with computational and empirical methods to clarify the nature of what lawyers do on a daily basis: interprett and apply the law.
I focus on two core areas: formalism and correctness.
First, I use argument mining to examine decisions from Supreme Courts in Central Europe and to assess whether their decisions and prevailing interpretative theories can be considered formalistic (as often claimed).
Second, I analyse appellate court decisions alongside legal dogmatics to explore when and why lower court rulings are overturned, aiming to clarify the boundary between correct and incorrect application of law.
I believe research needs international community and thrives in exchange with others. I initiated and co-run four regular events in Legal Theory and AI&Law:
1) Argument Mining and Empirical Legal Research Workshop (AMELR) - workshop collocated with leading AI&Law conference ICAIL with leading researchers in the field, Chicago (1st 2025 edition: program, proceedings with our preface)
2) Jurisprudential Cocktails - informal jurisprudence discussions hosted in Prague,
3) AI&Law Seminar Series - platform for junior scholars to discuss ongoing research with an interdisciplinary audience, in Frankfurt and Bochum,
4) CYLT Workshop in Legal Theory - yearly international workshop for students and junior scholars in legal theory to discuss their mater's thesis or dissertations, in Brno (2024, 2025)
I am also the head of Czech Young Legal Theorists Associations (CYLT).
Feel free to join any of of these no matter your background or seniority!
The recording of my presentation for the Czech judiciary on our legal argument mining project is available in Czech here (5:06:58).
Currently Visiting Researcher at Cornell Law School.