I - Theory and foundations
Contributions to the theory and interdisciplinary foundations for the use of Artificial Intelligence techniques in the legal and forensic domain. Papers should demonstrate (formal) validity, novelty and significance of the work.
Representation languages and formalisms for legal knowledge;
Models of legal and ethical knowledge, including concepts (legal ontologies), rules, cases, principles, values, procedures and society models;
Models of legal interactions of autonomous agents and digital institutions, including normative systems, and norm-governed societies;
Methods and algorithms for performing legal inference, including argumentation;
Methods and algorithms for designing legal data analytics and predictive models.
II – Technology
Contributions to the technological advancement of Artificial Intelligence and Information Systems in the legal and forensic domain. Papers should demonstrate quality, novelty and significance of the work, and evaluate results.
Technology for expressing the structure and connections of legal texts and rules, including legislative, judicial, parliamentary, administrative acts as well as private documents, such as contracts;
Technology for expressing the semantics of legal information and knowledge, including Legal Open Data, Legal Big Data, Knowledge Graph Database;
Technology for the large scale analysis of legal knowledge and information;
Technology for the verification and validation of legal knowledge systems, including checking compliance systems;
Technology for digital-rights management, licensing, access policies and authorisation, including issues in social networks;
Technology for managing privacy, cybersecurity and digital identity issues, including blockchain methods;
Technology for managing eCommerce, fraud detection and new market platforms issues;
Technology for natural language processing and annotation of legal texts;
Technology for social simulations in the legal domain and for democratic innovation;
Technology for information retrieval over large bodies of legal texts and legal data;
Support and methodologies for the acquisition, management or use of legal knowledge in information systems.
III - Applications
Implementations of AI & Law technology in real world systems. Papers should demonstrate added value, novelty and significance of the work, and if possible, validate the described system and evaluate (potential) impact.
Support for the production and management of legislation, in agenda setting, policy analysis, drafting, publishing and implementation;
Support for the judiciary, in application of the law, analysis of evidence, management of cases;
Support for lawyers, in legal reasoning, document drafting, negotiation;
Support for police and law enforcement activities, in forensic inquiries, search and evaluation of evidence, management of investigations;
Support for public administration, in applying regulations and managing information;
Support for business, economic transactions, and other private parties in managing regulatory compliance and compliance of business processes;
Support for private parties in using alternative forms of dispute resolution, particularly online;
Support for governance and citizens in enhancing participation, for a better communication (e.g fake news) and democracy (e.g. political data in social media);
Support for education by using legal information systems in a teaching environment.
A Model for the Burden of Persuasion in Argumentation (paper in proceedings, 2020) — Roberta Calegari, Giovanni Sartor
Arg-tuProlog: a modular logic argumentation tool for PIL (JURIX 2020, 10/12/2020) — Giuseppe Pisano (Roberta Calegari, Giuseppe Contissa, Giuseppe Pisano, Galileo Sartor, Giovanni Sartor)