Legal Reasoning and Big Data: Opportunities and Challenges

Grigoris Antoniou, George Baryannis, Sotirios Batsakis, Guido Governatori, Livio Robaldo, Giovanni Siragusa, Ilias Tachmazidis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The main underlying assumption of traditional legal knowledge representation and reasoning is that knowledge and data are both available in main memory. However, in the era of big data, where large amounts of data are generated daily, an increasing range of scientific disciplines, as well as business and human activities, are becoming datadriven. This paper discusses new opportunities and potential applications of legal reasoning involving big data as well as the technical challenges associated with the main concepts of the big data landscape, namely volume, velocity, variety and veracity. Future research directions based on the identified challenges are also proposed.
Original languageEnglish
Title of host publicationProceedings of the MIREL 2018 workshop on MIning and REasoning with Legal texts
Number of pages15
Publication statusPublished - 30 Aug 2018
EventMining and REasoning with Legal Texts - Luxembourg City, Luxembourg
Duration: 17 Sep 201817 Sep 2018 (Link to Workshop Website)


WorkshopMining and REasoning with Legal Texts
Abbreviated titleMIREL
CityLuxembourg City
Internet address


Dive into the research topics of 'Legal Reasoning and Big Data: Opportunities and Challenges'. Together they form a unique fingerprint.

Cite this