AccueilLegal data mining, machine learning and visualization

AccueilLegal data mining, machine learning and visualization

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Publié le jeudi 14 mars 2019

Résumé

The aim of the conference is to structure a conversation on both the fundamental and practical issues on legal data mining and machine learning between scientists and professionals from artificial Intelligence, data science, law, and logic. The Legal Data Mining, Machine Learning and Visualization conference will explore the specific technical challenges from data mining and machine learning technique addressing together practical and legal theoretical issues. It is an opportunity for computer scientists to showcase and explore in conversation with lawyers 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 in natural language processing applied to law, information extraction from legal databases and texts and data mining applied for legal analytics.

Annonce

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.

Argument

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. 

Programme

Thuesday March 21th 2019, 8:00 AM – Friday March 22th 2019, 6:00 PM :

Thursday march 21th, 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

12:00 PM – 13:30 PM Lunch 

1:30PM – 3:30PM  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, Vrije Universiteit Brussel (Belgium) Legal Protection Against the Automation of Law?
  • Randy Goebel, University of Alberta (Canada) Closing the bottom up and top down gap between machine learned and hand crafted legal informatics

Chair: Delphine Dogot, HEC Paris (France)

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

Friday March 22th, 2019

9.00-10:30AM Smart Tools for Lawyers, Courts and Consumers

  • 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 Break4.00-5.30 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 Hannes Westerman, Université de Montreal (Canada) 

Using Artificial Intelligence to predict legal case outcomes

  • Ken Satoh, National Institute of Informatics (Japan)
  • Gregory Lewkowicz (ULB, Belgium)

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 : dogot@hec.fr

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 (France)
  • Conference Administrative Contact
  • Olfa Mzita

Email: mzita@hec.fr

Practical informations

The conference is open only to registered participants.

Registration

Please register HERE before March 15. 2019

Practical information

The conference is held at:

La Maison du Barreau, 2 rue de Harlay, 75001 Paris, FRANCE 

Lunches and coffee breaks will be provided.

More informations at : https://legaldatamining.com/ 

Lieux

  • La Maison du Barreau - 2 rue de Harlay
    Paris, France (75001)

Dates

  • jeudi 21 mars 2019
  • vendredi 22 mars 2019

Mots-clés

  • law, artificial intelligence, legal data mining, logic, machine learning, legal analytics

Contacts

  • Dogot Delphine
    courriel : dogot [at] hec [dot] fr
  • Mzita Olfa
    courriel : mzita [at] hec [dot] fr

URLS de référence

Source de l'information

  • Troussel Aurore
    courriel : aurore [dot] troussel [at] hec [dot] edu

Licence

CC0-1.0 Cette annonce est mise à disposition selon les termes de la Creative Commons CC0 1.0 Universel.

Pour citer cette annonce

« Legal data mining, machine learning and visualization », Colloque, Calenda, Publié le jeudi 14 mars 2019, https://doi.org/10.58079/12bb

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