Table Of ContentLEGAL KNOWLEDGE AND INFORMATION SYSTEMS
Frontiers in Artificial Intelligence and
Applications
The book series Frontiers in Artificial Intelligence and Applications (FAIA) covers all aspects of
theoretical and applied Artificial Intelligence research in the form of monographs, selected
doctoral dissertations, handbooks and proceedings volumes. The FAIA series contains several
sub-series, including ‘Information Modelling and Knowledge Bases’ and ‘Knowledge-Based
Intelligent Engineering Systems’. It also includes the biennial European Conference on Artificial
Intelligence (ECAI) proceedings volumes, and other EurAI (European Association for Artificial
Intelligence, formerly ECCAI) sponsored publications. The series has become a highly visible
platform for the publication and dissemination of original research in this field. Volumes are
selected for inclusion by an international editorial board of well-known scholars in the field of
AI. All contributions to the volumes in the series have been peer reviewed.
The FAIA series is indexed in ACM Digital Library; DBLP; EI Compendex; Google Scholar;
Scopus; Web of Science: Conference Proceedings Citation Index – Science (CPCI-S) and Book
Citation Index – Science (BKCI-S); Zentralblatt MATH.
Series Editors:
Joost Breuker, Nicola Guarino, Pascal Hitzler, Joost N. Kok, Jiming Liu,
Ramon López de Mántaras, Riichiro Mizoguchi, Mark Musen, Sankar K. Pal,
Ning Zhong
Volume 334
Recently published in this series
Vol. 333. M. Tropmann-Frick, B. Thalheim, H. Jaakkola, Y. Kiyokir and N. Yoshida (Eds.),
Information Modelling and Knowledge Bases XXXII
Vol. 332. A.J. Tallón-Ballesteros and C.-H. Chen (Eds.), Machine Learning and Artificial
Intelligence – Proceedings of MLIS 2020
Vol. 331. A.J. Tallón-Ballesteros (Ed.), Fuzzy Systems and Data Mining VI – Proceedings of
FSDM 2020
Vol. 330. B. Brodaric and F. Neuhaus (Eds.), Formal Ontology in Information Systems –
Proceedings of the 11th International Conference (FOIS 2020)
Vol. 329. A.J. Tallón-Ballesteros (Eds.), Modern Management based on Big Data I –
Proceedings of MMBD 2020
Vol. 328. A. Utka, J. Vaičenonienė, J. Kovalevskaitė and D. Kalinauskaitė (Eds.), Human
Language Technologies – The Baltic Perspective – Proceedings of the Ninth
International Conference Baltic HLT 2020
Vol. 327. H. Fujita, A. Selamat and S. Omatu (Eds.), Knowledge Innovation Through Intelligent
Software Methodologies, Tools and Techniques – Proceedings of the 19th
International Conference on New Trends in Intelligent Software Methodologies,
Tools and Techniques (SoMeT_20)
ISSN 0922-6389 (print)
ISSN 1879-8314 (online)
Legal Knowledge and Information
Systems
JURIX 2020: The Thirty-third Annual Conference,
Brno, Czech Republic, December 9–11, 2020
Edited by
Serena Villata
Université Côte d’Azur, CNRS, Inria, I3S, France
Jakub Harašta
Masaryk University, Brno, Czechia
and
Petr Křemen
Czech Technical University, Prague, Czechia
Amsterdam Berlin Washington, DC
© 2020 The Authors, Faculty of Law, Masaryk University and IOS Press.
This book is published online with Open Access and distributed under the terms of the Creative
Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
ISBN 978-1-64368-150-4 (print)
ISBN 978-1-64368-151-1 (online)
doi: 10.3233/FAIA334
Publisher
IOS Press BV
Nieuwe Hemweg 6B
1013 BG Amsterdam
Netherlands
fax: +31 20 687 0019
e-mail: [email protected]
For book sales in the USA and Canada:
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel.: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
LEGAL NOTICE
The publisher is not responsible for the use which might be made of the following information.
PRINTED IN THE NETHERLANDS
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Preface
We are delighted to present the proceedings volume of the 33rd International Confer-
ence on Legal Knowledge and Information Systems (JURIX 2020). For more than
three decades, JURIX has organized an annual international conference for academics
and practitioners, recently also including demos. The intention is to create a virtuous
exchange of knowledge between theoretical research and applications in concrete legal
use cases. Traditionally, this field has been concerned with legal knowledge representa-
tion and engineering, computational models of legal reasoning, and analyses of legal
data. However, recent years have witnessed an increasing interest in the application of
machine learning tools to relevant tasks to ease and empower legal experts everyday
activities. JURIX is also a community where different skills work together to advance
research by way of cross-fertilisation between law and computing technologies.
The JURIX conferences have been held under the auspices of the Dutch Founda-
tion for Legal Knowledge Based Systems (www.jurix.nl). It has been hosted in a varie-
ty of European locations, extending the borders of its action and becoming an interna-
tional conference in virtue of the the various nationalities of its participants and at-
tendees.
The 2020 edition of JURIX, which runs from December 9 to 11, is co-hosted by
the Institute of Law and Technology (Faculty of Law, Masaryk University, Brno) and
the Knowledge-based Software Systems Group (Department of Computer Science,
Faculty of Electrical Engineering, Czech Technical University, Prague). Due to the
Covid-19 health crisis, the conference is organised in a virtual format.
For this edition we have received 85 submissions by 255 authors from 28 coun-
tries; 20 of these submissions were selected for publication as full papers (ten pages
each), 14 as short papers (four pages each) for a total of 34 presentations. In addition, 5
submissions were selected for publication as demo papers (four pages each). We were
inclusive in making our selection, but the competition stiff and the submissions were
put through a rigorous review process with a total acceptance rate (full and short pa-
pers) of 40%, and a competitive 23.5% acceptance rate for full papers. Borderline sub-
missions, including those that received widely divergent marks, were accepted as short
papers or demo papers only. The accepted papers cover a broad array of topics, from
computational models of legal argumentation, case-based reasoning, legal ontologies,
smart contracts, privacy management and evidential reasoning, through information
extraction from different types of text in legal documents, to ethical dilemmas.
Two invited speakers have honored JURIX 2020 by kindly agreeing to deliver two
keynote lectures: Katie Atkinson and Raja Chatila. Katie Atkinson is full professor of
Computer Science and the Dean of the School of Electrical Engineering, Electronics
and Computer Science at the University of Liverpool. She has also been the President
of the International Association for Artificial Intelligence and Law in 2016–2017. She
is one of the most significant representatives of the computational argumentation re-
search community, and of AI and Law, where she focused on case-based reasoning and
implementation of models of this in real world applications. Raja Chatila is Professor
emeritus at Sorbonne Université. He is the former Director of the Institute of Intelligent
Systems and Robotics (ISIR) and of the Laboratory of Excellence “SMART” on hu-
vi
man-machine interaction. He is co-chair of the Responsible AI Working group in the
Global Patnership on AI (GPAI), and he was member of the High Level Expert Group
in AI with the European Commission (HLEG-AI). He is one of the main research sci-
entists studying the ethical issues around Artificial Intelligence applications. We are
very grateful to them for having accepted our invitation and for their interesting and
inspiring talks.
Traditionally, the main JURIX conference is accompanied by co-located events
comprising workshops and tutorials. This year’s edition welcomes five workshops:
EXplainable & Responsible AI in Law (XAILA 2020), Artificial Intelligence and Pa-
tent Data, Artificial Intelligence in JUrisdictional Logistics (JULIA 2020), the Fourth
Workshop on Automated Detection, Extraction and Analysis of Semantic Information
in Legal Texts (ASAIL 2020), and the Workshop on Artificial Intelligence and the
Complexity of Legal Systems (AICOL 2020). One tutorial, titled Defeasible Logic for
Legal Reasoning, is also planned in this edition of JURIX. The continuation of well-
established events and the organization of entirely new ones provide a great added val-
ue to the JURIX conference, enhancing its thematic and methodological diversity and
attracting members of the broader community. Since 2013, JURIX has also hosted the
Doctoral Consortium, now in its eighth edition. This initiative aims to attract and pro-
mote Ph.D. researchers in the area of AI & Law so as to enrich the community with
original and fresh contributions.
Organizing this edition of the conference would not have been possible without the
support of many people and institutions. Special thanks are due to the local organizing
team chaired by Jakub Harašta and Petr Křemen. We would like to thank the work-
shops’ and tutorials’ organizers for their excellent proposals and for the effort involved
in organizing the events. We owe our gratitude to Monica Palmirani, who kindly as-
sumed the function of the Doctoral Consortium Chair.
This year, we are particularly grateful to the 74 members of the Program Commit-
tee for their excellent work in the rigorous review process and for their participation in
the discussions concerning borderline papers. Their work has been even more appreci-
ated provided the complex situation we are experiencing due to the pandemic. Finally,
we would like to thank the former and current JURIX executive committee and steering
committee members not only for their support and advice but also generally for taking
care of all the JURIX initiatives.
Last but not least, this year’s conference was supported by AK Janoušek, law firm
based in Prague, Czechia (www.janousekadvokat.cz) and by Artificial Intelligence
Center ARIC based in Hamburg, Germany (www.aric-hamburg.de).
Serena Villata, JURIX 2020 Program Chair
Jakub Harašta, JURIX 2020 Organization Co-Chair
Petr Křemen, JURIX 2020 Organization Co-Chair
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Sponsors
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