Aller au contenu principal
A propos d'HEC A propos d'HEC Faculté et Recherche Faculté et Recherche Grande Ecole
& Masters Grande Ecole
& Masters
MBA Programs MBA Programs Programme PhD Programme PhD Executive Education Executive Education Summer School Summer School HEC Online HEC Online
A propos d'HEC En bref En bref Qui sommes-nous ? Qui sommes-nous ? Egalité des chances Egalité des chances Centre Carrières Centre Carrières International International Vie du campus Vie du campus Développement durable Développement durable Diversité et inclusion Diversité et inclusion Stories Stories Fondation HEC Fondation HEC Coronavirus Coronavirus Faculté et Recherche À propos À propos Corps professoral Corps professoral Départements Départements Centres Centres Chaires Chaires Knowledge Knowledge Grande Ecole
& Masters
Grande Ecole Programme
Grande Ecole
MSc International
Finance MSc International
MS et MSc MS et MSc Programmes
X-HEC Programmes
Doubles Diplômes
en Admission directe Doubles Diplômes
en Admission directe
students Visiting
Certificats Certificats Vie
Etudiante Vie
Stories Student
MBA Programs MBA MBA Executive MBA Executive MBA TRIUM EMBA TRIUM EMBA Programme PhD Overview Overview HEC Difference HEC Difference Program details Program details Research areas Research areas HEC Community HEC Community Placement Placement Job Market Job Market Admissions Admissions Financing Financing Executive Education Executive Mastères Executive Mastères Certificats Executive Certificats Executive Programmes courts Executive Programmes courts Executive Online Online Entreprises Entreprises Executive MBA Executive MBA Summer School Youth programs Youth programs Summer programs Summer programs HEC Online En bref En bref Programme diplômant Programme diplômant Certificats Executive Certificats Executive MOOCs MOOCs
Faculté et Recherche

Legal DATA Mining, Machine Learning and Visualisation

21 - 22 mar


Ajouter au calendrier
2019-03-21T08:00:00 2019-03-22T18:00:00 Legal DATA Mining, Machine Learning and Visualisation

The purpose of this conference is to structure a conversation on both the fundamental and practical issues of legal data mining between scholars from AI, law, and logic. 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. It is 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. 

Conference Convenors

  • David Restrepo Amariles, HEC Paris (France)

  • Ken Satoh, National Institute of Informatics (Japan)

Conference Academic Contact

Delphine Dogot

Postdoctoral Research Fellow, HEC Paris (France)

Email :

Conference Scientific Committee & Publications

  • Michalis Vazirgiannis, Ecole Polytechnique  (France)

  • Gregory Lewkowicz, ULB (Belgium)

  • Karim Benyeklef, Université de Montreal (Canada)

  • Kevin Ashley, University of Pittsburgh (United States)

  • Arnaud van Waeyenberge (HEC Paris)

Conference Administrative Contact

Olfa Mzita




Thursday - 21 March, 2019

8:15-8:45 AM – Registration

9:00 AM

Opening words

  • David Restrepo Amariles, HEC Paris (France)

  • Ken Satoh, National Institute of Informatics (Japan)

  • Vinciane Gillet, President of the European Incubator of the Brussels Bar Association (Belgium)

  • Nathalie Attias, President of the Incubator of the Paris Bar Association (France)

9:30-10:30 AM

Keynote Lecture 

Kevin Ashley, University of Pittsburgh (United States)

Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age

Chair: David Restrepo Amariles, HEC Paris (France)

10:30-12:00 AM

Artificial Intelligence, the Legal Profession and the Emergence of Smart Law

  • Marie-Aimée Peyron, President of the Paris Bar Association (France)

  • Pierre Sculier, Former President of the French-speaking Ordre of the Brussels Bar Association (Belgium)

  • Peter Callens, President of the Flemish-speaking Ordre of the Brussels Bar Association (Belgium)

  • Friedrich-Joachim Mehmel, President of the Constitutional Court of the Free and Hanseatic City, President of the Hamburg Higher Administrative Court (Germany)

  • Éloi Buat-Ménard, Judge, Conseiller référendaire Cour de Cassation (France)

Chair: Gregory Lewkowicz (ULB, Belgium)

Concluding Remarks of the Morning Sessions

  • Gregory Lewkowicz (ULB, Belgium) & David Restrepo Amariles (HEC Paris)

    • The Emergence of Smart Law

1:30PM – 3:30PM

12:00 PM – 13:30 PM Lunch 


Data Mining Court Documents

  • Serena Villata, Université de Nice Sophia Antipolis I3S CNRS (France)

    • Information Extraction and Argument Mining for the Legal Domain

  • Hiroaki Yamada, Tokyo Institute of Technology (Japan), Simone Teufel, University of Cambridge (UK) & Takenobu Tokunaga,Tokyo Institute of Technology (Japan)

    • Argument structure-based summarization of Japanese judgment documents

  • Michalis Vazirgiannis, Ecole Polytechnique  (France) & David Restrepo Amariles, HEC Paris (France)

    • Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France

  • Chair: Arnaud van Waeyenberge, HEC Paris (France)

  • Teaser: Radboud Winkels, Universiteit van Amsterdam (Netherlands)

3:30 PM – 4:00 PM Break

4:00PM – 5:30PM

Computational Law and Automation of Legal Analysis 

  • Dazza Greenwood, MIT Media Lab (United States)

    • Data, AI and Visualization in the context of Computational Law

  • Mireille Hildebrandt, Vrij Universiteit Brussel (Belgium)

    • Legal Protection Against the Automation of Law?

  • Rebecca Williams, University of Oxford (United Kingdom) TBC:

    • Algorithmic Accountability: When the State uses Algorithm

  • Chair: Delphine Dogot, HEC Paris (France)

  • Teaser: Florence G’sell, Université de Lorraine (France)


Friday - March 22, 2019


Smart Tools for Lawyers, Courts and Consumers

  • Hannes Westerman, Université de Montreal (Canada)

    • Using Artificial Intelligence to predict legal case outcomes

  • Caroline Lequesne, Université de Nice Sophia Antipolis (France)

    • Building a transborder recovery tool : Save the Debt, the DL4T Project.

  • Masaharu Yoshioka, Hokkaido University (Japan)

    • Introduction of COLIEE information retrieval task

  • Chair: Bruno Deffains, Paris II- Pantheon Assas (France)

  • Teaser: Dory Reiling, Former Judge in Amsterdam District Court, IT and Judicial Reform Expert (Netherlands)

10.30-11.00 AM Coffee Break 

11:00 AM -12:30 PM

Processing Natural Language for Legal Analytics

  • Danièle Bourcier, CERSA CNRS (France) 

    • Representing the Argumentative Facets of Legal Texts

  • Ken Satoh, National Institute of Informatics (Japan)

    • How to make an explanation from a case description in natural language

  • Yoshinobu Kano and Mako Akeda, Shizuoka University (Japan)

    • Legal exam solver and challenges beyond end-to-end learning in natural language processing

  • Chair: Matteo Winkler, HEC Paris (France)

  • Teaser: Benoît Frydman, Perelman Centre (Belgium)

12:30 – 2:00PM Lunch

2:00 PM – 3:30 PM

Wiring the Law: Machine Learning and Automated Processing of Legal Documents

  • Daniel Chen, Toulouse School of Economics (France)

    • Implicit Associations in Legal Language

  • Samuel Dahan, Queen’s University (Canada)

    • AI Court in Labour Law in the Province of Ontario

  • Nguyen Le Minh and Tran Vu Duc, Japan Advanced Institute of Science and Technology (Japan)

    • Deep Learning for analyzing the legal document and its application

  • Chair: Rémy Bricard, Baker & McKenzie (France)

  • Teaser: Horatia Muir Watt, SciencesPo Paris  (France)

3:30-4:00 PM Break

4.00-5.30 PM

Accountability and social perceptions of code as code 

  • Nathalie Smuha, European Commission- DG Connect (Belgium)

    • Ethical Guidelines for the implementation of AI

  • Stefan Philipsen, University of Utrecht & Erlis Themeli, Erasmus University Rotterdam (Netherlands)

    • The perception of potential court-users on AI-judges

  • Shozo Ota, University of Tokyo (Japan)

    • People’s Attitudes toward A.I.: Self-driving Car and A.I. Court

  • Chair: Dechert LLP (TBC)Teaser

  • Gianluca Costanzi, Clifford Chance (France)

5.30PM – 6.00PM

Concluding remarks

  • Ken Satoh, National Institute of Informatics (Japan)

  • Gregory Lewkowicz, ULB, (Belgium)








Ajouter au calendrier
2019-03-21T08:00:00 2019-03-22T18:00:00 Legal DATA Mining, Machine Learning and Visualisation