Call for Papers :: Call for Workshops and Tutorials :: Doctoral consortium

Important dates

Event Date
Submission of abstract (recommended) 1 September 2023
8 September 2023
Submission of long, short and demo papers 8 September 2023
17 September 2023 (extended)
Submission of proposals for workshops and tutorials 8 September 2023
Information about acceptance 20 October 2023
Upload of camera-ready papers 27 October 2023
Programme 31 October 2023
Programme with workshops 14 November 2023
Deadline Early-Bird Registration 30 November 2023
End of registration; late and onside registrations subject to available places and additional fees 10 December 2023
Workshops, Tutorials, and Doctoral consortium 18 December 2023 (Monday)
Main Conference, first day 19 December 2023 (Tuesday)
Main Conference, second day 20 December 2023 (Wednesday)

Call for Papers

For more than 30 years, the JURIX conference has provided an international forum for research on the intersection of Law, Artificial Intelligence, and Information Systems, under the auspices of the JURIX Foundation for Legal Knowledge Systems.

The purpose of the JURIX conference series is to foster scientific exchange between researchers, practitioners, students, dedicated to exploring recent advancements, challenges, and opportunities of technologies applied to legal and para-legal activities. We invite submissions of original papers on legal information, legal knowledge systems, artificial intelligence and law, computational and socio-technical approaches to law and other normative systems, covering foundations, methods, tools, systems, interfaces, and applications. Papers should demonstrate added value, novelty of contribution and/or analysis, significance of the work, (formal) validity and/or proper evaluation.


Topics include, but are not limited to:

I - Logics and Normative Systems

  • Computational theories of law
  • Computational representations of legal rules and domain-specific languages (DSLs) for law
  • Formal logics and computational models of legal reasoning and decision-making (e.g., argumentation, statutory, rule-based, case-based, evidential reasoning), including relevant concepts such as qualification, causation, responsibility
  • Formal models of norms and norm-governed systems
  • Knowledge representation, knowledge engineering, and ontologies in the legal domain
  • Semantic web, open and linked data, mark-up languages for the legal domain
  • Normative reasoning by autonomous agents; multi-agent systems: norm operationalization, norm emergence
  • Computational methods for agent-based modelling for policy-making and norm-making
  • Computational methods for negotiation, contract formation, dispute resolution
  • Computational methods for preference aggregation and voting
  • Computational methods for compliance-checking, authorization, auditing, and regulation
  • Computational methods for AI and Data Governance

II - Natural Language Processing and Machine Learning

  • Argument mining on legal texts
  • Machine learning methods and models for legal document classification, information retrieval, automatic summarization of legal text
  • Machine learning methods and models in support to regulatory and contract drafting
  • Natural language processing for legal text analysis, including law-specific standard NLP tasks (Named Entity Recognition, Semantic Role Labelling, Translation, etc.)
  • Information extraction, text understanding (e.g. entailment) from legal data and texts
  • Question-answering systems, chatbots, and dialog systems in the legal domain
  • Network analysis applied to legal documents (statutory law, case law, jurisprudence) and legal data.
  • Knowledge discovery, Causal discovery, and Process mining in the legal domain
  • Recommender systems in the legal domain

III - Cognitive and Socio-Technical Systems

  • Cognitive computing and AI-enabled information systems for legal knowledge management (legal research and case management), legal data visualization, and decision support.
  • Hybrid architectures (symbolic and sub-symbolic) in legal applications
  • Human-computer interaction in legal applications
  • Explainable AI for legal applications
  • Fairness and bias mitigation in AI systems for legal practices
  • Technical regulation of AI, data-sharing, information processing, and computing systems
  • AI-enabled information systems improving access to justice and equal opportunities
  • e-government, e-democracy, and e-justice
  • AI applications in legal education and training
  • Intelligent legal tutoring systems, intelligent support systems for forensics

Submission and publication

The deadline for paper submission is September 8th, 2023 September 17th, 2023 (extended), all over the earth. Abstract submission (September 8st) is recommended. All submissions should be formatted using the styles and guidelines in the IOS Press Instructions for Authors ( and prepared for single-blind peer review. Papers are to be submitted in PDF format through Easychair (

There are three categories of papers: long, short, and demo. Please indicate a category when you submit your paper.

  • Long papers: reports of well-developed and original research. An accepted long paper scores well in terms of relevance, originality, technical quality, significance, literature review, presentation, reviewer’s confidence, and overall evaluation. These should not exceed 10 pages (including references). A paper which is not accepted as a long paper may be recommended by reviewers as a short paper.
  • Short papers: (short) descriptions of preliminary results or an innovative idea. These papers should not exceed 6 pages (including references).
  • Demo papers: (short) descriptions of a system. These papers should not exceed 4 pages (including references). Authors of demo papers should be willing to share (a screencast of) the demo privately with the reviewers, if so requested.

All papers must be original and not simultaneously submitted to another journal or conference. The conference proceedings will be published by IOS Press in their series Frontiers in Artificial Intelligence and Applications (FAIA) as gold open access.

Call for Workshops and Tutorials

Besides the main conference track and the Doctoral Consortium, JURIX 2023 will host a number of workshops and tutorials related to the themes of the conference. We welcome proposals on topics related to AI and law, legal information, legal knowledge systems, and computational and socio-technical approaches to law, following the scope of the JURIX conference. Workshop and tutorial sessions are scheduled on December 18, 2023.

Workshops provide an informal setting that fosters an active exchange of ideas. Most workshops will follow the classical format of presentations of peer-reviewed papers followed by discussion, but other formats (e.g., challenges) and entirely new ideas are also welcome. All workshops should be interactive events with adequate time allocated to discussion.

Tutorials enable attendees to familiarize themselves with results and advancements in various subjects related to AI and Law and related topics, on the level of both theory and technology. We will consider two types of tutorials: “standard” half­-day tutorials; 90-minute “spotlight” tutorials. Spotlight tutorials are meant to address emerging areas, techniques, methodologies and perspectives in specialized topics. Standard tutorials are meant to cover rather established areas of JURIX scope.

Note that in the case of multiple workshop/tutorial submissions on similar topics, you may be asked to merge your proposal with that of others.

The deadline for proposals is September 8, 2023.

Workshop proposal guidelines

Workshop proposals must be submitted via e-mail to the Program Chair Giovanni Sileno ( as a single PDF (max 5 pages) file containing the following information:

  • Title and Acronym
  • Organizers (more than 2, preferably from different institutions): names, affiliations, and contact details
  • Short description (abstract, max 250 chars)
  • Motivation for the workshop (relation to JURIX, timeliness)
  • Intended duration: half-day or full-day
  • Workshop format (paper presentations, panel discussions, talks by invited guest speakers, general discussions, practical tasks)
  • Audience: research groups working in the field, a tentative list of potentially interested participants, expected number of submissions.
  • List of (potential) members of the program committee (25% confirmed)
  • Previous editions of the workshop if applicable; related workshops in other venues
  • Submission, notification and camera-ready deadline dates aligned with the ones listed in the “Important Dates” of the main conference (
  • Any further information you deem relevant.

Responsibilities of workshop organizers

If accepted, the workshop organizers are responsible for:

  • A workshop webpage, to be linked to the JURIX 2023 website
  • Publicize the workshop to attract submissions and attendees
  • Collecting, reviewing of submitted papers, and quality assurance (e.g. open a separate Easychair website)
  • Determining the program for the workshop, within the time limits provided by the conference organization
  • Publishing accepted papers in electronic proceedings (preferably CEUR-WS)
  • Ensure that workshop participants register
  • Schedule, attend and coordinate the workshop

Tutorial proposal guidelines

Proposals must be submitted as a single PDF file (max 5 pages) containing the following information:

  • Title
  • Organizers (more than 2, preferably from different institutions): names, affiliations, and contact details
  • Short description (abstract, max 250 chars)
  • Motivation for the tutorial (relation to JURIX, timeliness)
  • Proposed format of the tutorial: standard (half-day) or spotlight (90-minute)
  • Scheduling: A detailed, point-form outline of the tutorial.
  • Audience: a brief characterization of the potential target audience for the tutorial, including prerequisite knowledge; expected number of participants.
  • List of readings, handbook, tools used in the tutorial
  • Any further information you deem relevant.

Responsibilities of tutorial organizers

If accepted, tutorial organizers are responsible for:

  • A tutorial webpage, to be linked to the JURIX 2023 website
  • Promote the tutorial to attract attendees
  • Determining the tutorial program, within the time limits provided by the conference organization
  • Distributing tutorial materials to attendees before the tutorial date (if needed)
  • Ensure that tutorial participants register
  • Schedule, attend and coordinate the tutorial

Doctoral Consortium Call

The Jurix 2023 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 recognised university. Ideally, the candidate should have at least 12 months of work remaining before expected completion. The participants of the Doctoral Consortium are encouraged to register for and attend the main conference. The PhD student should be the sole author of the submission.

The accepted thesis descriptions or research descriptions will be presented to an interested audience and subject to discussion during the Jurix 2023 conference. We expect submissions addressing any topic related to the AI and Law discipline, including the topics listed in the call for papers for the main conference, which include but are not limited to:

  • Formal and computational models of legal reasoning, including argumentation, evidential reasoning, legal interpretation, and decision making
  • Knowledge acquisition techniques for the legal domain, including natural language processing, argument and data mining
  • Legal knowledge representation, including legal ontologies and common sense knowledge
  • Machine Learning applied to legal text to advance legal analytics
  • Automatic legal text classification and summarisation
  • Automated information extraction from legal databases and texts
  • Data mining applied to the legal domain
  • Conceptual or model-based legal information retrieval
  • E-government, e-democracy and e-justice
  • Legal and Ethical issues of AI and Law technology and its applications
  • Modelling norms and legal reasoning for multi-agent systems
  • Modelling negotiation and contract formation
  • Technical and legal aspects of smart contracts and application of blockchain technology in the legal domain
  • Big data and data analytics for and in the legal domain
  • Online dispute resolution
  • Intelligent legal tutoring systems
  • Intelligent support systems for the legal domain
  • Interdisciplinary applications of legal informatics methods and systems
  • Legal design theory and applications
  • Legal knowledge extraction and visualization
  • Blockchain and smart contract
  • Explainable AI and Legal implications
  • Legal ontologies and Knowledge graph for legal metadata
  • Internet of Things and legal issues


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. 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.

Important dates

  • Paper submission: 19th November 2023
  • Notification of acceptance: 30th November 2023
  • Camera ready deadline: 10th December 2023
  • Doctoral Consortium: 18th December 2023


A Best Paper of 2020 - Doctoral Consortium Award will be assigned to the most original, innovative and well presented research thanks to OASIS LegalXML Steering Committee support.

  • Chair: Monica Palmirani, University of Bologna