This list is preliminary and subject to change. Final details will be added as they are confirmed.
Please refer to the workshops' websites for complete and updated information.
Since the launch of ChatGPT in November 2022, we have seen an explosion of interest in applying artificial intelligence to help solve the biggest challenges in law. More recently, we have started to see new innovations aimed at helping ordinary people with their most critical needs.
We invite legal technologists, researchers, and practitioners to join us in Turin, Italy on December 9th for a full-day, hybrid workshop on innovations in AI for helping close the access to justice gap: the majority of legal problems that go unsolved around the world because potential litigants lack the time, money, or ability to participate in court processes to solve their problems.
Workshop Website
https://aida2j.com/
Topics of Interest
The workshop will focus on three topics:
Data issues related to access to justice (building reusable, sharable datasets for research)
AI for access to justice generally
AI for dispute resolution
Submission deadline: November 17th.
Notifications expected: November 24th.
The workshop will be held on December 9, 2025.
We invite contributors to submit:
short papers (5-10 pages excluding citations and relevant appendices), or
proposals for demos in the form of an extended abstract (1-2 pages excluding citations).
We welcome works in progress, although depending on submission volume, we will give a preference to complete ideas that can be evaluated, shared and discussed. Case studies are welcome, especially when accompanied by enough detail for qualitative results and replication. Case studies should be well-researched with a relevant prior work section. The focus of submissions should be on AI tools, datasets, and approaches, whether large language models, traditional machine learning, or rules based systems, that solve the real world problems of unrepresented litigants or legal aid programs. Papers discussing the ethical implications, limits, and policy implications of AI in law are also welcome.
Please Submit Papers At EasyChair Here: https://easychair.org/account2/signin?l=5719611257565786894
Papers should follow the formatting instructions of CEUR-WS. (ceurart)
Submissions will be subject to peer review. Submissions will be evaluated on overall quality, technical depth, relevance, and the diversity of topics to ensure an engaging and high quality workshop.
You can download templates for the ceurart style in LaTeX or Microsoft Office formats.
The workshop will involve the collaboration of the Suffolk LIT Lab, the Stanford Legal Design Lab, the Maastricht Law and Tech Lab, Libra.law, Vrije Universiteit Brussel, Swansea University, and the University of Turin, and will be part of the larger Jurix 2025 conference hosted there in Italy.
Reasoning with evidence to establish relevant facts lies at the heart of legal reasoning. Technologies that allow us to reason about facts are evolving, and new kinds of evidence are becoming available (for example, digital forensic science). At the same time, reasoning with evidence is a dynamic and complex process: practitioners must decide what evidence to collect and how to interpret it amid vast amounts of data. These choices in selecting evidence and the following reasoning with evidence are complex tasks that may benefit from standardization and assistance by AI, for example, to avoid probabilistic and other fallacies.
The AI for Evidential Reasoning workshop aims to bring together researchers working on formal, computational, and empirical approaches to reasoning with evidence, as well as those with expertise in forensic science and evidence evaluation. The goal is to foster discussion and exchange between theoretical and applied perspectives on how AI can contribute to evidential reasoning in legal and investigative contexts.
The half-day workshop will feature:
A keynote “the evaluation of digital findings in forensic casework” by Marouschka Vink from the Netherlands Forensic Institute (NFI)
Paper presentations on accepted papers
A discussion session focused on practical examples
The workshop proceedings will be submitted to CEUR for publication.
Workshop Website
https://aludi.github.io/AI4EVIR/
Topics of Interest
We invite contributions on topics including (but not limited to):
Formal models of evidential reasoning (scenarios, arguments, probabilities)
Hypothesis generation, falsification, and verification
Methods such as Bayesian Networks, Chain Event Graphs, scenario-based reasoning, formal argumentation, Hypothesis Management Frameworks, etc.
Legal and commonsense reasoning with evidence
Empirical studies and data-driven analyses of reasoning with evidence
Case studies on real or hypothetical cases
Practical argumentation
Large language models (LLMs) and reasoning with evidence
Agentic and multi-agent approaches
Philosophical perspectives on the nature and role of evidence
Submission deadline: 10 November
Notification of acceptance: 24 November
Camera-ready version: 7 December
Ludi van Leeuwen - Rijksuniversiteit Groningen (l.s.van.leeuwen@rug.nl)
Roos Scheffers - Utrecht Universiteit (r.j.scheffers@uu.nl)
Bart Verheij - Rijksuniversiteit Groningen
AI has been applied to several domains. Additionally, the Parliaments are now investigating and experimenting with AI in various directions, including guidelines to govern this powerful instrument legally and ethically. LLMs and Agentic AI highlight the challenges of delegation, autonomy, and human oversight. The AI ACT and the sandbox regulation provide some constraints and options.
This workshop would like to discuss these challenging questions with interdisciplinary instruments coming from philosophy of law, Constitutional law, legal informatics, including AI&Law, computational linguistics, computer science, HCI and Legal design.
We also intend to provide an overview of the most advanced applications of AI in support of a better regulation and law-making system, aiming to find answers to these questions.
The half-day workshop will feature:
Keynote speakers
Paper presentations on accepted papers
A discussion session.
This initiative is supported by the ERC HyperModeLex, Monica Palmirani (Research Institute for Human-Centered Artificial Intelligence, ALMA-AI, University of Bologna).
Workshop Website
https://site.unibo.it/hypermodelex/en/agenda/ai4legs-2025-fifth-edition-ai-for-legislation
Topics of Interest
Fundamental legal concepts and principles concerning the eLegislation
Theory of law and ICT in the legislative process
Legal XML and XML Rules for the legislative process
Generative AI in the legislative process
AI/ML for Legislative Process
Government Linked Open Data (GLOD)
Legal ontologies and legal knowledge graphs for better regulation
Smart Data and the Semantic Web in legislative domain
Governance and deliberative models of democracy using AI
Blockchain distributed ledger technology for law-making process
Visualization of legal knowledge for transparency in legislative domain
NLP tools for capturing legal knowledge in legislative domain
Legal language and NLP representation
Legal design and visualization of the legislative knowledge
Modelling the rule of law in the law-making process
Interpretation modelling of legislation
Data analytics for legislation
Large Language models
Neuro-symbolic, Knowledge Graph, RAG
Agentic AI and Orchestration Systems in Parliamentary Activities
Draft paper Springer LNAI format 10 pages: November 20th, 2025
Notification of acceptance: November 30th 2025
Camera ready (Springer LNAI): December 5th 2025
Workshop presentation: December 9th 2025
Publication (selected papers) should be considered.
Monica Palmirani, ALMA-AI, Department of Legal Studies, University of Bologna
Salvatore Sapienza, ALMA-AI, Department of Legal Studies, University of Bologna
Michele Corazza, ALMA-AI, Department of Legal Studies, University of Bologna
Victoria Kristan, ALMA-AI, Department of Legal Studies, University of Bologna
Chantal Bomprezzi, ALMA-AI, Department of Legal Studies, University of Bologna
Pier Francesco Bresciani, ALMA-AI, Department of Legal Studies, University of Bologna
Which are the strong and weak points in using them? They are transparent, accurate, trustable; at all or with which assumptions?
The European Union was one of the first major jurisdictions to introduce a comprehensive legislation for AI, and it is expected that many more jurisdictions will follow the EU lead.
The IT market is a global and transnational market, where one system is developed in a country and deployed in another, and accessed in a third one. Accordingly, in this trans-jurisdictional context the actual AI Act will have an impact not only in the European market but also in the worldwide market. Other countries will regulate the AI systems, this implies that harmonization of these norms will be desirable for the market and the enterprises in the field, and will be inevitable the impact of the first strong restrictive regulations of some countries, on the following regulations and on the economy on the global market.
Given the complexity of modern AI systems, it is likely that solutions to certify the compliance of AI tools will be AI systems themselves. Also, with the rapid growth of AI solutions more AI tools will be used in the Law and Legal professions. Thus, AI tools can prove beneficial in the legal domain. The judicial and legal domain are deemed as sensitive and high risk domains.
Accordingly, what are the AI tools beneficial to the legal domain? What are the areas of legal domain where AI tools can be successful, and if they need to be certified against AI regulation, how can we certify these AI systems?
Workshop Website
https://sites.google.com/view/clairvoyants2025-winteredition
Topics of Interest
The workshop will look for original, high quality contributions that explore the following (non-exhaustive) list of topics:
European AI ACT implications in business, legal, ethical aspects
European and not European AI Regulations and impacts
Analysis and Relations of European AI ACT with other regulations in specific fields
(e.g. healthcare, justice, transport, environment)
Impact of AI ACT on high risk sectors (e.g. healthcare, justice, transport, finance)
Human Right and AI tools in healthcare
Harmonizations of AI acts, regulations, standards and guidelines
Comparative perspectives on AI acts
Standards for legal AI
AI Governance methodologies, techniques, tools.
AI Safety methodologies, techniques, tools.
Applications of AI Regulations in specific domains (e.g. healthcare, justice, transport, finance, environment)
AI and LLMs in the judiciary and legal drafting
Predictive models on judgments
Automated extraction of principles of law from judgments
Automated detection of similarities between judgments
AI tools to support legal decision-making
Algorithmic Decision-Making in the Judiciary
AI tools to support judgments on personal rights cases (legal, social and ethical issues)
Biases using AI and LLMs in the judiciary
AI and Alternative Dispute Resolution (ADR)
AI and Online Dispute Resolution (ODR)
Formal models for AI tools compliance and conformance
AI tools for compliance and conformance
Framework for Fundamental Right Impact Assessments
Explainability and transparency in the context of AI Regulation
Comparative Regulations on AI all over the world
Focus and details on AI Regulations of the single State
New AI Regulations spread or borning all over the world
Governance guidelines for AI in high-risk sectors (i.e. healthcare, justice, …)
Evaluations of AI threats and risks
Formal verification of AI regulation
Modeling policy for AI safety
Paper Submission 8 November 2025
Notification of acceptance 17 November 2025
All submissions should be formatted using the styles and guidelines of CEUR format.
An Overleaf page for LaTeX users is available at https://it.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw.
Papers should not exceed 15 pages (including references).
Papers are to be submitted in PDF format through easychair (https://easychair.org/conferences?conf=clairvoyants3).
A selection of papers will be published in Journal of Computational Law and Legal Technology.
Ilaria Angela Amantea (University of Turin, Italy)
Guido Governatori (Central Queensland University, Charles Sturt University, Australia)
Marianna Molinari (Last-JD, CIRSFID-Alma AI, University of Bologna, University of Turin, Italy and Vrije Universiteit Brussel, Belgium)
Monica Palmirani (University of Bologna, Italy)
Marinella Quaranta (Last-JD, CIRSFID-Alma AI, University of Bologna and University of Turin, Italy)
Immaculate Motsi (Central Queensland University, Charles Sturt University, Australia)
For any information write at: chairs.clairvoyant@gmail.com
As legal systems increasingly intersect with digital technologies, the formal representation of legal norms has become essential. Structured knowledge representation provides a rigorous foundation for modeling legal reasoning and supports practical applications such as automated compliance checking, legal advisory tools, and normative reasoning in autonomous systems like self-driving cars and AI-driven legal decision-making. While many rigorous frameworks for legal knowledge representation and reasoning have shown great potential, they often assume that legal knowledge can already be expressed in formal languages. In reality, however, most legal rules and case descriptions are written in natural language, creating a significant gap between natural legal language and formal representations. Recent advances in natural language processing—particularly those driven by large language models—have led to promising applications in AI and Law, including legal information retrieval, summarization, and information extraction.
NLL2FR2025 aims to bring together researchers and practitioners interested in bridging the gap between natural legal language and formal representations. Our interest extends beyond the translation of natural language rules into logical formulae to include the formalization of legal case described in natural language.
Workshop Website
https://jurisinformaticscenter.github.io/NLL2FR2025/
Topics of Interest
Relevant topics include, but are not limited to, the following:
Translating natural language legal rules into logical representations
Constructing legal ontologies from natural language documents
Extracting legal factors from case texts
Extracting and structuring argumentation from natural language sources
Reusable outputs, including formalization tools, logic patterns, or shared datasets
Verification and validation of formal legal representations in practice
Any theories and technologies which is not directly related to the workshop but have the potential to contribute to the workshop
Important Dates
Submission Deadline: 10 November 2025
Notification: 24 November 2025
Camera-ready due: 28 November 2025
Submission Guidelines
We welcome and encourage the submission of high-quality, original papers, which are not simultaneously submitted for publication elsewhere. Papers should be written in English, formatted according to the Springer Verlag LNCS style in a PDF form, which can be obtained from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines, and not exceed 14 pages including figures, references, etc. If you use a Word file, please follow the instructions for the format, and then convert it into a PDF form and submit it at the paper submission page: https://easychair.org/conferences/?conf=nll2fr2025
Organizers
Ken Satoh, Center for Juris-Informatics, ROIS-DS, Japan (ksatoh@nii.ac.jp)
Georg Borges, Saarland University, Germany (georg.borges@uni-saarland.de)
Hannes Westermann, Maastricht University, The Netherlands (hannes.westermann@maastrichtuniversity.nl)
May Myo Zin, Center for Juris-Informatics, ROIS-DS, Japan (maymyozin@nii.ac.jp)