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COUrT 2020 : COUrT – CaiSE for Legal Documents Workshop, June 8, 2020, Grenoble


When Jun 8, 2020 - Jun 8, 2020
Where Grenoble, France
Submission Deadline Mar 15, 2020
Notification Due Apr 7, 2020
Final Version Due Apr 12, 2020
Categories    law data   document mining   machine learning   systems engineering

Call For Papers

"COUrT – CaiSE for Legal Documents" Workshop

in conjunction with The 32nd International Conference on Advanced Information Systems Engineering (CAiSE).

WORKSHOP DATE: June 8, 2020.

LOCATION: Grenoble, France.



Legal domain is a challenging focus of attention for scholars in computer science and engineering related fields as it lends itself to a unique blend of research opportunities at convergence not only with law and jurisprudence, but also linguistics, economics, cognitive psychology, sociology, and other disciplines. This has been long witnessed by a number of venues for developing and publishing studies of artificial intelligence and information systems applied to the legal domain, for which the volume of data of interest is rapidly growing, also thanks to the support of Internet and online media platforms, and of the recent breakthroughs in data science, machine learning and related fields.
Nonetheless, we point out that little attention has been devoted to the legal domain from a more-focused perspective of data & knowledge engineering. Therefore, we believe that our workshop can represent a novel venue of discussion within the context of the CAiSE conference.
The goal of the COUrT workshop is to provide a new venue for bringing the typical audience of CAiSE in the field cross-cutting data & knowledge systems engineering and legal informatics to discuss and promote ideas and practices about advanced data management and analytics technologies for the legal domain. This would help legal professionals handle a variety of critical cases, which may benefit from getting easier access to law data, gaining insights into knowledge patterns discovered in legal data, argumenting and supporting legal decision-making.
In this regard, we solicit theoretical as well as application-oriented research studies on relevant topics related to the processing, management and analysis of legal documents, covering models, methodologies, algorithms, evaluation benchmarks and tools for the development and application of legal information systems and knowledge engineering.

Topics of interest include, but are not limited to:
o Automated information extraction from legal databases and text corpora
o Web-based systems engineering for searching, retrieving and managing legal data
o Legal knowledge representation and reasoning models and methods
o Computational models of argumentation for legal data
o Natural language processing techniques and systems for legal documents
o Machine learning, deep learning, and reinforcement learning for legal data
o Semantic computing for legal data
o Big data analytics for legal data
o Computational models and systems handling ethical and fairness issues in the legal domain
o Cybersecurity in the legal domain
o Emerging applications in legal data & knowledge engineering


Paper submission deadline: March 15, 2020
Acceptance notification: April 7, 2020
Final manuscripts due: April 12, 2020
Workshop day: June 8, 2020


Prospective authors are invited to submit their manuscripts electronically through

***** Please be sure to SELECT the Track “CAiSE for Legal Documents“. ******

The proceedings of this workshop are intended to be published as one volume in the Springer LNBIP series. According to Springer standards, regular papers must not exceed 12 pages. Some of the contributions might be accepted as short papers (6 pages) and they will appear in a designated section of the proceedings.


We will organize a Special Issue with a highly-relevant, peer-reviewed international journal in the fields of interest of the workshop.
Further information will be posted soon on the workshop website.
Extended versions of accepted papers will be invited for submission to the Special Issues.


Andrea Tagarelli, Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Italy

Ester Zumpano, Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, Italy

Andrea Calí, Dept. of Computer Science and Information Systems
Birkbeck University of London, UK

Aida Kamišalić Latifić, Faculty of Electrical Engineering and Computer Science
University of Maribor, Slovenija

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