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Legal Data Mining, Machine Learning and Visualization

Law
Published on:

Legal Data Mining Conference gathered professionals and academics from the technology, Artificial Intelligence and Law fields to discuss the future of Law. The two-day workshop focused on both the fundamental and practical issues of legal data mining. The event was organized by David Restrepo Amariles (Assistant Professor of Law at HEC Paris) and Ken Satoh (Professor at the National Institute of Informatics of Japan) in March 2019 at the Barreau de Paris.

Legal Data Mining David Restrepo

 

The fast development of machine learning and data mining has opened new opportunities and challenges for automated processing of legal materials and legal analytics. AI techniques are increasingly being developed in law to help lawyers, in house counsels, prosecutors and judges carry out their jobs, while commercial software and other LegalTech offer wide support for legal and regulatory tasks.

However, current data mining, machine learning and visualisation techniques show limitations such as explanation generation, understanding of legal materials and argumentation. The workshop will explore the specific technical challenges from data mining and AI techniques addressing together practical and legal theoretical issues.

This workshop was an opportunity for computer scientists to showcase and explore in conversation with legal scholars further developments in AI and data mining applied to the legal domains.

Legal academics specializing in the interface of law and AI are given the opportunity to articulate the challenges of automated functions in law including natural language processing applied to law, information extraction from legal databases and texts and data mining applied for legal analytics. 


Participants included law and AI experts such as David Restrepo Amariles (HEC Paris), Michalis Vazirgiannis (Ecole Polytechnique Paris), Ken Satoh (National Institute of Informatics, Japan), Delphine Dogot (HEC Paris and SciencesPo Paris), Arnaud van Waeyenberge and Matteo Winkler (HEC Paris), Marie-Aimée Peyron (President of the Paris Bar Association), Alexandre Menais (Group General Counsel, Atos (France)), Kevin Ashley (University of Pittsburgh), Mireille Hildebrandt (Vrije Universiteit Brussels), Randy Goebel (University of Alberta), Dazza Greenwood (MIT Medialab, CIVICS), Barbara Ubaldi (OECD), Rémy Bricard (Baker & McKenzie), Nathalie Attias, (President of the Incubator of the Paris Bar Association), Danièle Bourcier (CERSA CNRS), Caroline Lequesne and Serena Villata (Université de Nice Sophia Antipolis), Nathalie Smuha (KUL- European Commission, DG Connect, Belgium), Hannes Westerman (Université de Montreal), and many others.

legal data mining poster

Find more information about the programme and participants on LegalDataMining.com

 

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