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
  • Normative Autonomous Vehicles (NAV2025)
  • Technology-Assisted Review in the Law
  • The Effect of Digital Transformation on the Efficiency of Legal and Judicial Systems

June 20 Workshops

  • 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:

      • 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.

Organizers:

Jack Mumford

Francesca Lagioia

Hannes Westermann

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

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

Normative Autonomous Vehicles (NAV2025)

The Normative Autonomous Vehicles Workshop (NAV2025) brings together experts from computer science, law, and philosophy to tackle the challenges of formalizing traffic rules for both human drivers and autonomous vehicles. By exploring symbolic logic, deontic reasoning, and hybrid machine learning approaches, the workshop aims to develop machine-readable representations of legal norms that ensure fair and safe interactions on shared roads. Participants will discuss practical implementations, ethical AI compliance, and liability considerations, all within the broader context of automated legal reasoning and traffic regulation. Featuring invited talks, panel discussions, and interactive demonstrations, NAV2025 offers a dynamic forum for advancing legal informatics and the design of autonomous systems.

Organizers:

Adam Wyner

Galileo Sartor

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, constitute the largest and most well-established applica- tion 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 proposed tutorial provides a comprehensive introduction to TAR. The morning session 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. It is intended to appeal both to traditional ICAIL attendees and to a wide range of TAR-interested professionals in the Chicago, IL area. The afternoon session will go into more technical depth on the implications of TAR workflows for supervised learning algorithm design, how generative AI is beginning to be applied in TAR, more sophisticated statistical evaluation techniques, and a wide range of open research questions.

Organizers:

Lenora Gray

David D. Lewis

Jeremy Pickens

Eugene Yang

The Effect of Digital Transformation on the Efficiency of Legal and Judicial Systems

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