June 16 Workshops
- 2° ConventicLe on Artificial Intelligence Regulation and Safety – CLAIRvoyantS
- ASAIL (Automated Semantic Analysis of Information in Legal Text)
- Implementing Intelligence: Legal Challenges in Creating AI Solutions – a platform for sharing experiences
- Legally Compliant Intelligent Chatbot. Challenges of Persuasion and Manipulation
- Technology-Assisted Review in the Law
June 20 Workshops
- ICAIL 2025 Doctoral Consortium
- AI4A2J at ICAIL 25
- Argument Mining and Empirical Legal Research
- MULTILINGUAL WORKSHOP ON AI & LAW RESEARCH 2025 (MWAIL2025)
- The 12th Competition on Legal Information Extraction and Entailment (COLIEE 2025)
- Unlocking Legal Automation: Mastering Rules as Code with Defeasible Deontic Logic
June 16th Workshops
2° ConventicLe on Artificial Intelligence Regulation and Safety – CLAIRvoyantS
The “2° ConventicLe on Artificial Intelligence Regulation and Safety” (CLAIRvoyantS) workshop brings together scholars, legal experts, and industry professionals to address the emerging challenges in AI governance and compliance in the wake of the EU Artificial Intelligence Act. Organized by a team from institutions such as the University of Turin, Charles Sturt University, and the University of Bologna, the full-day workshop is designed to foster interdisciplinary dialogue on the legal, ethical, and regulatory aspects of AI, with a particular focus on high-risk sectors like healthcare and justice. Participants will present original research through structured sessions that include presentations, discussant feedback, and audience Q&A, aiming to explore topics ranging from risk-based regulatory frameworks and compliance certification to the harmonization of global standards and the integration of AI tools in legal decision-making. This event builds on the success of its first edition by seeking innovative contributions that navigate the complexities of AI regulation and safety on an international scale.
Organizers:
Ilaria Angela Amantea (University of Turin)
Guido Governatori (Charles Sturt University, Central Queensland University)
Marianna Molinari (University of Bologna, University of Turin)
Marinella Quaranta (University of Bologna, University of Turin)
Monica Palmirani (University of Bologna)
Motsi Omjiade (Charles Sturt University, Australia)
ASAIL (Automated Semantic Analysis of Information in Legal Text)
This workshop will explore the application of natural language processing (NLP) and machine learning (ML) techniques to the semantic analysis of legal texts, fostering interdisciplinary collaboration among scholars, researchers, legal practitioners, and service providers. Semantic analysis, which links linguistic structures to domain-specific meanings, is critical for processing legal information effectively.
Key objectives include:
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- Advances in automated semantic analysis of legal texts, including integration of state-of-the-art ML techniques such as LLMs (large language models), foundation models, and transfer learning.
- Adaptation and fine-tuning of NLP tools for the unique characteristics of legal texts, including multilingual and cross-jurisdictional analysis.
- Automated or semi-automated extraction of legal norms and principles from textual sources.
- Argument mining from court case documentation, legislative records, legal policy debates.
- Extraction and evaluation of fact-finding reasoning and precedent alignment from case decisions.
- Applications of advanced linguistic theories, including pragmatics and discourse analysis, to improve legal NLP tools.
- Development of user-friendly annotation environments for training and validating AI systems on legal texts.
- Innovations in summarisation, visualisation, and retrieval for legal texts, including systems tailored for diverse legal traditions and multilingual corpora.
- Automated translation of legal text into formal or abstract representations to support reasoning and decision-making.
- Advances in XAI (explainable AI) and human-AI interaction with specific applications to legal NLP, focusing on transparency, fairness, and bias mitigation.
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Organizers:
Jack Mumford
Francesca Lagioia
Hannes Westermann
Website Link:
Implementing Intelligence: Legal Challenges in Creating AI Solutions - a platform for sharing experiences
The aim of this tutorial is to respond to the needs of lawyers and those working with AI systems who may encounter difficulties related to the legal regulation of advanced solutions in their daily work. The tutorial is intended to lead to an increased awareness among participants of the complexity of legal regulations that need to be considered when developing AI solutions. Through this tutorial, participants will gain tips on the information needed to verify and the steps worth planning when creating AI solutions. During the tutorial, speakers will share their experience in the legal security of the project being developed with a particular focus on IP and data protection issues. This tutorial will be a space to share good practices from different regions of the globe. We hope that this workshop will inspire participants to plan projects outside the box and to look for unusual and creative solutions. IP and data issues are crucial elements of any AI software. It is hoped that the universality of the topic will enable the knowledge gained to be applied to most AI and Law projects and contribute to broad interest of the workshop by the audience. The workshop will provide an opportunity for participants to share their experiences and will be a platform for knowledge exchange, as well as an opportunity for networking. The value for the participants will be to broaden their horizons in terms of their roles and assigned responsibilities, which will allow them to more easily understand the perspective of the other people and entities acting within the project.
Organizers:
Sano – Centre for Computational Personalised Medicine – International Research Foundation
Website Link:
Legally Compliant Intelligent Chatbot. Challenges of Persuasion and Manipulation
With the rapid adoption of intelligent chatbots and conversational AI, understanding how these systems can comply with ethical and legal standards around persuasion and manipulation is critical. While chatbots are designed to engage and persuade users in a range of possibly beneficial applications (from customer service to mental health support), the line between persuasion and manipulation can be difficult to define and enforce. This workshop aims to address how chatbots can be developed in such a way that they maintain the ability to persuade without veering into manipulative behaviour. In particular, it will focus on computable methods –particularly logic-based models, machine learning, and large language models (LLMs) – to create rule-abiding chatbot systems. The workshop builds on and expands the research outcome of an ERC Advanced Grant Project “CompuLaw” (https://site.unibo.it/compulaw/en/project) on making the law computation so that it may govern intelligent entities.
Organizers:
Giuseppe Contissa
Giovanni Sartor
Website Link:
The effect of AI on the Efficiency of Law Courts [CANCELLED]
This workshop will delve into the transformative potential of Artificial Intelligence (AI) to enhance the efficiency and effectiveness of law courts. It will explore the current applications of AI in various aspects of the judicial process, examine the challenges and opportunities presented by its adoption, and discuss future directions for research and development. The workshop aims to bring together legal professionals, AI researchers, policymakers, and technology developers to foster a collaborative dialogue on how AI can be responsibly and effectively integrated into the legal system to improve access to justice, reduce delays, and enhance the overall administration of justice. The focus will be on practical applications and real-world implications, considering ethical considerations and potential biases.
Topics of Interest
The scope of this workshop encompasses, but is not limited to, the following key areas:
1. AI-Driven Automation and Process Optimization:
• Examining the potential of AI to automate routine tasks within court systems, such as document review, case filing, scheduling, and transcription.
• Analyzing the impact of AI-powered tools on streamlining legal processes, reducing delays, and improving resource allocation.
• Investigating the use of AI for predictive analytics in case management, including predicting case outcomes and optimizing settlement negotiations.
2. AI for Enhanced Judicial Decision-Making:
• Exploring the role of AI in providing judges with access to relevant legal information, precedents, and data analysis to support informed decision-making.
• Discussing the ethical considerations and potential biases associated with using AI in judicial processes.
• Evaluating the impact of AI on the consistency, transparency, and fairness of judicial outcomes.
3. AI and Access to Justice:
• Investigating the potential of AI-powered platforms to improve access to legal information and services for individuals, particularly those from underserved communities.
• Analyzing the role of AI in facilitating online dispute resolution and alternative dispute resolution mechanisms.
• Discussing the challenges and opportunities associated with using AI to bridge the justice gap.
4. AI for Legal Research and Analysis:
• Exploring the use of AI in legal research, including identifying relevant case law, statutes, and regulations.
• Analyzing the impact of AI on the efficiency and accuracy of legal research.
• Discussing the implications of AI-driven legal analytics for legal professionals.
5. Technical and Infrastructural Considerations:
• Addressing the technical challenges associated with implementing AI solutions in court systems, including data security, interoperability, and scalability.
• Discussing the need for appropriate infrastructure and training to support the effective use of AI in law courts.
6. Ethical, Legal, and Societal Implications:
• Examining the ethical implications of using AI in the justice system, including issues of bias, transparency, accountability, and due process.
• Analyzing the legal and regulatory frameworks necessary to govern the use of AI in law courts.
• Discussing the societal impact of AI on the legal profession and the administration of justice.
Organizers:
Mohamed Gomaa
Thaina Junquilho
Technology-Assisted Review in the Law
Technology-assisted review (TAR) refers to iterative workflows that combine human review with AI techniques such as active learning and LLMs to minimize both time and manual effort while maximizing effectiveness. The use of TAR in the discovery process in civil litigation is a multi-billion dollar industry which has had an enormous impact on the practice of law. This application of TAR, along with applications to internal investigations and sunshine law requests, constitutes the largest and most well-established application of AI in the law. The history of TAR rollout also has lessons for the adoption of AI technology more broadly in the law. The morning portion of the tutorial will cover key concepts in TAR, an overview of the technologies and workflow designs used, the basics of practical evaluation methods, and legal and ethical implications of TAR deployment. The afternoon will go into more technical depth on the implications of TAR workflows for supervised learning algorithm design, how generative AI is being applied in TAR, more sophisticated evaluation techniques (including for generative AI), and a wide range of open research questions.
Organizers:
Lenora Gray
David D. Lewis
Jeremy Pickens
Eugene Yang
Website Link:
June 20th Workshops
ICAIL 2025 Doctoral Consortium
ICAIL’s Doctoral Consortium aims at promoting the exchange of ideas from PhD researchers in the area of AI&Law, and at providing them an opportunity to interact and receive feedback from leading scholars and experts in the field. This year, seven submissions were accepted and will be presented.
Schedule:
09:30-10:15: A Research Agenda for Data-Driven Insolvency Proceedings | Stijn Van Ruymbeke, Ghent University
10:15-10:45: coffee break
10:45-11:30: Open-Texture Legal Terms Compliance Decoded: Tracing Factual Causation Chains of Violations | Juanita Caballero Villalobos, Technical University of Denmark
11:30-12:15: Digitizing Customary Court Records: A Data-Driven Approach to Understanding Legal Variations in Nigeria | Adedotun O. Ogundare, University of Novi Sad
12:15-13:00: Judgment Prediction Models as an AI-driven Jury and its Ontology for E-court | Ya-Fei Chang, National Yang Ming Chiao Tung University
13:00-14:00: lunch break
14:00-14:45: Reappraisal of Section 230 CDA for Tackling Unethical Corporate Use of Artificial Intelligence: Did Congress Surpass Its Time to Handle Intermediaries? | Romana Afroze, Widener University Delaware Law School
14:45-15:30: Towards Human-Centered Legal AI: Designing a Facilitative Mediation Agent Integrating Tacit Knowledge and Multimodal Dialogue Cues | Kohei Oshio, Meiji University
15:30-16:15: Toward a Neuro-Symbolic Approach to Structure and Process International Tax Law | Zarja Hude, London School of Economics and Political Science
Chair: Réka Markovich
The 12th Competition on Legal Information Extraction and Entailment (COLIEE 2025)
The 12th Competition on Legal Information Extraction and Entailment (COLIEE 2025) focuses on advancing artificial intelligence (AI) and natural language processing (NLP) technologies in the legal domain. Specifically, it addresses challenges in legal information extraction, case law reasoning, statute law entailment, and decision prediction. The workshop highlights innovative techniques and applications that enable the automation of legal reasoning, aiming to reduce the time and resources required for legal processes while improving accessibility and efficiency in judicial systems.
Organizers:
Ken Satoh
Randy Goebel
Mi-Young Kim
Yoshinobu Kano
Masaharu Yoshioka
Juliano Rabelo
Calum Kwan
Hiroaki Yamada
Website Link:
Argument Mining and Empirical Legal Research
Our AMELR workshop focuses on Legal Argument Mining (LAM) – using NLP to automatically detect legal arguments. Recent developments in NLP and LAM have provided legal scholars with a powerful tool for studying reasoning patterns, interpretative theories, or biases across jurisdictions and legal systems. The workshop gathers experts in computer science, AI & Law, legal theory, and empirical legal studies to address key challenges of LAM: creating training datasets, developing reliable models, establishing reproducibility standards, and integrating LAM into legal research. The workshop aims to strengthen the emerging field of LAM and its role in empirical legal studies by sharing latest implementations, addressing core challenges, and establishing best practices.
Invited speakers include leading experts in the field: Kevin Ashley (University of Pittsburgh), Daniel Chen (Harvard/Toulouse), Jed Stiglitz (Cornell), and Jaromir Savelka (Carnegie Mellon).
We welcome scholars to present their work at our workshop, with both in-person and online participation options available. The workshop accepts unpublished papers as well as works-in-progress (max. 8 pages). For submission guidelines and more information, please visit the Call for Papers on our website.
Organizers:
Tomas Koref
Lena Held
Ivan Habernal
AI4A2J at ICAIL 25
Over the last 2 years, we have seen an explosion of interest in applying artificial intelligence to help solve the biggest challenges in law. Yet many of the best tools remain out of reach of the practitioners on the front line of civil legal needs: legal aid workers and unrepresented litigants.
We invite legal technologists, researchers, and practitioners to join us 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.
Around the world, up to 5 billion people have unmet legal needs. This number represents the access to justice gap. The needs range from survivors of domestic violence, people navigating custody or the right to make basic decisions about their own wellbeing, to people facing eviction from their home, to others dealing with unfair treatment in accessing basic government services.
Approaches to close the access to justice gap range from offering direct legal representation to self-help and DIY solutions that can help individuals at scale.
The goals of the workshop are to: provide a showcase for working projects, to share best practices and ideas incubate ideas for new approaches to applied AI for the legal problems of the poor connect a global community of researchers with front line legal aid workers who may not ordinarily attend or participate in an international conference.
Organizers:
Quinten Steenhuis
Margaret Hagan
Hannes Westermann
Jaromir Savelka
Marc Lauritsen
Cor Steging
Maria Gamboa
Website Link:
https://suffolklitlab.org/events/ai-for-access-to-justice-at-icail25/
Multilingual Workshop on AI and Law Research 2025
The Multilingual Workshop on AI & Law Research was started as a reach out to non-English speaking communities worldwide, in particular Spanish and Portuguese, to present and discuss on-going research. In later years, it has developed as a platform for multilingual research in AI & law, in particular Large Linguistic Models and knowledge representation techniques of linking various legal text corpora in different legal systems. We would ask for papers on the main following topics, but not limited to, both from a theoretical
and practical point of view:
▪ Large Linguistic Models for legal information retrieval,
▪ Large Linguistic Models for summarisation techniques,
▪ Knowledge graphs as a representation of metaknowledge,
▪ Legal data science applications, also in a multilingual environment
▪ Advanced legal search engines and legal information systems
▪ Advanced applications in e-justice, e-government, e-commerce and e-democracy
▪ Legal knowledge systems and formal models of legal systems (logic applied to legal
reasoning, formal models of probability etc.)
▪ Discovery of electronically stored legal information (e-discovery)
▪ Machine learning and data mining for legal applications
▪ Computational study of legal reasoning and argumentation
▪ Applications of AI and automated reasoning for the legal domain
▪ Blockchain technology and its application in Law
▪ Smart contracts
We invite researchers to submit their original papers (drafts 4-10 pages, final papers: 8 pages, 2400 words) and extended English abstracts (2 pages, 600 words) on these themes. The submission language can be Spanish, Portuguese, German, and English. Other languages e.g. Arabic, Chinese, German, French, Japanese, Russian, Hindi etc. are admissible subject to a
sufficient numbers of submissions and a panel organiser fluent in this language and English. In any case, a submission must also be supplemented with an extended English abstract. In case of acceptance, both the paper and the extended English abstract will be included in the workshop materials. The presentation can be given in the chosen language but presentation materials, in particular slides, have to be available in English in order to allow the English speaking community to get a good understanding of the research results. Pre-prepared audios and videos in English are also helpful. Interpretation will be available for all sessions.
Organizers:
Stefan Eder
Fernando Galindo
Erich Schweighofer
Cesar Serbena
Unlocking Legal Automation: Mastering Rules as Code with Defeasible Deontic Logic
The concept of “Rules as Code” (RaC) has gained significant traction as a method for drafting, interpreting, and automating legal rules in a machine-processable format. This approach is transformative in its potential to improve transparency, compliance, and accessibility within legal systems. However, the theoretical and practical underpinnings of RaC demand deeper exploration. In addition, for its success, it requires formalisms combining conceptual elements, ease of representation and efficiency. Defeasible Deontic Logic is a logic framework that is uniquely suited to capture the conditional, exception-prone, and normative nature of legal reasoning. Moreover, it has been successfully used to encode large-scale and complex legal instruments in different legal domains (industry code, Crime Code, Traffic Rules, Commercial Codes, and Business Process Compliance…)
The proposed tutorial aims to:
1. Introduce participants to the principles of Rules as Code and its relevance in modern legal systems.
2. Provide a comprehensive overview of Defeasible Deontic Logic, focusing on its application to modelling legal rules.
3. Guide participants through the practical implementation of RaC using recent implementations of Defeasible Deontic Logic.
4. Foster an understanding of the challenges and opportunities in automating legal reasoning. This tutorial is grounded in interdisciplinary research, bridging artificial intelligence, legal theory, and computational logic. By engaging in this session, participants will gain insights into encoding complex legal norms while preserving their interpretative flexibility and normative coherence. The tutorial will also highlight real-world applications, such as regulatory compliance systems and legal decision-support tools.
Organizers:
Guido Governatori
Antonino Rotolo