In my research, I focus on applications of natural language processing and machine learning to the legal domain. I am a recipient of the Graduate Research Fellowship in Science, Technology, Engineering, and Mathematics from the National Institute of Justice which supported my dissertation research on the computer-assisted interpretation of statutory concepts. I obtained my doctorate from the School of Computing and Information of the University of Pittsburgh (2020). I have published at top-tier Artificial Intelligence and Law conferences on topics ranging from a network analysis of public institutions to legal information retrieval. Currently, I am a post-doctoral fellow at the School of Computer Science, Carnegie Mellon University, focusing on the advancement of workforce training in emerging domains via hands-on learning in the areas of machine learning, artificial intelligence, and cloud computing.
Jun. 23
2021
Jaromír Šavelka, Hannes Westermann, et al. Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. ICAIL 2021, Sao Paulo, Brazil, 2021. [url, presentation]
Dec. 10
2020
Jaromír Šavelka and Kevin D. Ashley. Learning to Rank Sentences for Explaining Statutory Terms. JURIX 2020 Workshop on Automated Detection, Extraction and Analysis of Semantic Information in Legal Texts, Prague, Czech Republic, 2020. [url, presentation]
Aug. 30
2019
Jaromír Šavelka, Huihui Xu, and Kevin D. Ashley. Improving Sentence Retrieval from Case Law for Statutory Interpretation. ISP Seminar Series, Intelligent Systems Program, University of Pittsburgh, 2019. [url, presentation]
2021
Savelka, J., and Ashley, K. D. (2021). Legal Information Retrieval for Understanding Statutory Terms. Artificial Intelligence and Law. Springer. https://doi.org/10.1007/s10506-021-09293-5 [fulltext]
2020
Westermann, H., Savelka, J., Benyekhlef, K. Paragraph similarity scoring and fine-tuned BERT for legal information retrieval and entailment. In: COLIEE (2020). [fulltext]
2020
Westermann, H., Savelka, J., Walker, V. R., and Ashley, K. D. (2020, December). Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. In JURIX 2020 Proceedings (pp. 164-173). [fulltext]
2020
Savelka, J., Westermann, H., Benyekhlef, K. Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data. In Proceedings of the 2nd Workshop on Automated Detection, Extraction and Analysis of Semantic Information in Legal Texts, King's College, London, UK, 2017. [fulltext]
2019
Westermann, H., Savelka, J., Walker, V. R., and Ashley, K. D. (2019, December). Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. In JURIX 2019 Proceedings (pp. 123-132). [fulltext]
2014
Michal Koščík, Jakub Harašta, Libor Kyncl, Matěj Myška, Radim Polčák, Václav Stupka and Jaromír Šavelka (eds.). European ICT Law 2014 Texts, Cases, Materials. 2014.
2016
Kevin Ashley and Jaromír Šavelka. Book Review of “Conflict Resolution and its Context From the Analysis of Behavioural Patterns to Efficient Decision–Making by Davide Carneiro, Paulo Novais, Josè Neves, Springer, 2014.” [to appear in International Journal of Online Dispute Resolution]
since
2020
Postdoctoral Fellow, Carnegie Mellon University, School of Computer Science Pittsburgh, PA.
Artificial Intelligence, Cloud Computing
2019-
2020
Adjunct Professor, University of Pittsburgh, School of Law Pittsburgh, PA.
Applied Legal Analytics and Artificial Intelligence
2017-
2020
Data Scientist, Reed Smith, LLP and GravityStack, LLC Pittsburgh, PA.
Data analysis and development of ML, NLP, data analytics, and visualization solutions
2013-
2020
PhD study in Artificial Intelligence, Dietrich School of Arts and Sciences, University of Pittsburgh, Pittsburgh, PA.
Specialized in Machine Learning, Natural Language Processing, AI and Law; Advisor: Kevin D. Ashley
2016-
2017
Client Technology Operations Analyst (Internship), Reed Smith, LLP, Pittsburgh, PA.
Software Analysis and Development
2007-
2014
Deputy editor-in-chief, Masaryk University Journal of Law and Technology, Masaryk University in Brno, Brno (CZE).
IT Law journal
2009-
2013
Lecturer and Research Assistant, School of Law, Masaryk University in Brno, Brno (CZE).
IT Law and legal informatics
2009-
2013
BA in Computer Science, Faculty of Informatics, Masaryk University in Brno, Brno (CZE).
Specialized in natural language processing; BA thesis: XML Markup of Legal Documents; Advisor: Zdeněk Říha
2007-
2012
Head of Legal and Financial Department, Student Cyber Games, Brno (CZE).
Non-profit non-governmental entity
2008-
2009
Paralegal, Vašíček, Frimmel a Honěk, attorneys at law, Brno (CZE).
Specialized in Commercial Law
2004-
2009
Master's degree in Law, School of Law, Masaryk University in Brno, Brno (CZE).
Specialized in IP and IT Law and Legal IT; MA thesis: Software law; Advisor: Radim Polčák
2008
Erasmus Exchange, Department of American Law at the School of Law, Catholic University of Lublin, Lublin (PL).
Specialized in American Law
2020
Best Paper Award at JURIX 2020: Legal Knowledge and Information Systems
Prague, Czech Republic
2019
Best Student Paper Award at JURIX 2019: Legal Knowledge and Information Systems
Madrid, Spain
2019
Pitt Cyber Accelerator Grant (PCAG) for the Annotating Cases for Learning to Summarize project.
2018
Pitt Cyber Accelerator Grant (PCAG) for the Statutory Interpretation Data Set project.
2017-
2018
Graduate Research Fellowship in Science, Technology, Engineering and Mathematics
National Institute of Justice
2016-
2017
Graduate Research Fellowship in Science, Technology, Engineering and Mathematics
National Institute of Justice
2016
Kenneth P. Dietrich School of Arts and Sciences (University of Pittsburgh) Fellowship
University of Pittsburgh
2015
Best Student Paper Award at JURIX 2015: Legal Knowledge and Information Systems
Braga, Portugal
2015-
2016
Andrew Mellon Predoctoral Fellowship
University of Pittsburgh
2015
Grad Expo 2015 Outstanding Presentation Award
University of Pittsburgh
2013-
2014
Kenneth P. Dietrich School of Arts and Sciences (University of Pittsburgh) Fellowship
University of Pittsburgh