NAI: Towards Transparent and Usable Semi-Automated Legal Analysis

Libal, Tomer; Steen, Alexander

Reference : NAI: Towards Transparent and Usable Semi-Automated Legal Analysis


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Law, criminology & political science : Multidisciplinary, general & others Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/42684

Title :	NAI: Towards Transparent and Usable Semi-Automated Legal Analysis
Language :	English
Author, co-author :	Libal, Tomer [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Steen, Alexander [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	27-Feb-2020
Main document title :	Verantwortungsbewusste Digitalisierung, Tagungsband des 23. Internationalen Rechtsinformatik Symposions IRIS 2020
Translated title :	[en] Responsible Digitalization, Proceedings of the 23rd International Legal Informatics Symposium
Editor :	Schweighöfer, Erich
	Hötzendorfer, Walter
	Kummer, Franz
	Saarenpää, Ahti
Publisher :	Editions Weblaw
Pages :	265-272
Peer reviewed :	Yes
On invitation :	No
Audience :	International
ISBN :	978-3-96698-589-5
Country :	Switzerland
Event name :	23. Internationales Rechtsinformatik Symposion (IRIS 2020)
Event date :	27-02-2020 to 29-02-2020
Event place (city) :	Salzburg
Event country :	Austria
Keywords :	[en] Automated Reasoning ; Legal Reasoning ; Deontic Logics
Abstract :	[en] A prototype for automated reasoning over legal documents, called NAI, is presented. It uses formalized representations of legal documents that are created using a graphical editor that is also provided as part of NAI. The prototype supports several automated reasoning procedures over the given formalizations, including the execution of user queries. The application of NAI is studied using a fragment of the Scottish Smoking Prohibition (Children in Motor Vehicles) Act 2016.
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/42684
Other URL :	https://www.univie.ac.at/RI/IRIS2020/

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