Doctoral Consortium

The ICAIL 2019 Doctoral Consortium aims at promoting the exchange of ideas from PhD researchers in the area of Artificial Intelligence and Law, and at providing them an opportunity to interact and receive feedback from leading scholars and experts in the field.  Specifically, the Consortium seeks to provide opportunities for PhD students to:

  • obtain fruitful feedback and advice on their research projects;
  • meet experts from different backgrounds working on topics related to the AI & Law and Legal Information Systems fields;
  • have a face to face mentoring discussion on the topic and methodology of the PhD with an international senior scholar;
  • discuss concerns about research, supervision, the job market, and other career-related issues.

To be eligible for the Consortium, a candidate must be a current doctoral student within a recognized university. Ideally, the candidate should have at least 8—12 months of work remaining before expected completion. The participants of the Doctoral Consortium must register for and attend the main conference. The PhD student should be the sole author of the submissionNote that submissions to the Doctoral Consortium are entirely separate from any papers that students may have submitted to the main conference.

The accepted thesis descriptions or research descriptions will be presented to an interested audience and subject to discussion during the ICAIL 2019 conference. We expect submissions addressing any topic related to the AI & Law discipline, including the topics listed in the call for papers for the main conference, which include but are not limited to:

  • Argument mining from legal texts
  • Automated information extraction from legal databases and texts
  • Automatic legal text classification and summarization
  • Computational methods for negotiation and contract formation
  • Computer-assisted dispute resolution
  • Deontic logics for legal reasoning
  • e-discovery and e-disclosure
  • e-government, e-democracy and e-justice
  • Ethical and legal issues of AI technology and its applications
  • Formal and computational models of evidential reasoning
  • Formal and computational models of legal reasoning (e.g. argumentation, case-based reasoning)
  • Intelligent legal tutoring systems
  • Intelligent support systems for law and forensics
  • Interdisciplinary applications of legal informatics methods and systems
  • Knowledge acquisition techniques for the legal domain, including natural language processing, argument and data mining
  • Machine learning and data analytics applied to the legal domain
  • Modelling norms and norm-governed systems
  • Ontologies and legal knowledge representation
  • Open and linked data in the legal domain
  • Smart contracts and application of blockchain in the legal domain


Students are invited to submit an original description of their work addressing the following aspects:

  • A clear formulation of the research question;
  • An identification of the significant problems in the field of research;
  • An outline of the current knowledge of the problem domain, as well as the state of existing solutions;
  • A presentation of preliminary ideas, the proposed approach and the results achieved so far;
  • A sketch of the applied research methodology;
  • A description of the PhD project’s contribution to the problem solution;
  • A discussion of how the suggested solution is different, new, or better than existing approaches to the problem.

Thesis descriptions or research outcomes are limited to 10 pages in English using LNCS format and submitted electronically in PDF format jointly with a maximum 3 page CV. Please submit to

Submissions will be assessed by members from the AI and Law community who will consider how well the submissions address each of the aspects given above.

We intend to invite the presenting authors to co-author a paper covering the topics of the accepted DC submissions in the Artificial Intelligence and Law journal.


Important Dates

  • Deadline for submission of papers (extended): April 30, 2019
  • Notification of acceptance (extended): May 14, 2019
  • Camera-ready copy due (extended): May 28, 2019
  • Conference: June 17-21, 2019


The Best Paper of ICAIL 2019 Doctoral Consortium Award will be assigned to the most original, innovative and well presented research.


Michał Araszkiewicz,

Jagiellonian University in Kraków, Poland

Ce contenu a été mis à jour le 23 April 2019 à 16 h 39 min.