LEGAL INFORMATION AND TECHNOLOGY INNOVATION LAW

The laboratory aims to provide students with essential and applied knowledge of legal informatics and the law of technological innovation, as the first segment of a progressive educational pathway devoted to the relationship between intelligent machines and law. The course seeks to develop students’ ability to understand the interaction between digitalisation, artificial intelligence, and legal phenomena, while fostering the acquisition of the legal, technical, and operational skills needed to assess the impact of emerging technologies on law, society, markets, and institutions. Through a laboratory-based approach grounded in the analysis of practical cases, the guided use of digital tools, and the concrete application of legal categories to technological phenomena, the course addresses the foundations of legal informatics, the evolution of the field, the essential elements of formal and algorithmic logic, as well as the proper and functional use of artificial intelligence in legal study and research. The laboratory also introduces the main areas of digital innovation relevant to law, following a method that moves from specific cases to the identification of applicable legal issues, principles, and rules. The objective is to train jurists capable of critically interpreting and operationally applying legal categories to the phenomena of digital and technological innovation, while understanding the role of digital tools, algorithmic logic, and artificial intelligence in the transformation of contemporary legal experience.

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Knowledge and understanding: students will acquire a basic knowledge of the main topics of legal informatics and the law of technological innovation, understanding the legal implications of digital technologies, artificial intelligence, and their applications in the legal field. Applied knowledge and understanding: students will apply the knowledge acquired to the analysis of practical cases, identifying the relevant legal issues and developing coherent arguments in support of possible solutions. Making judgements: students will collect, select, and interpret information, data, and legal sources through databases and digital tools, critically assessing the implications of the technologies examined. Communication skills: students will communicate clearly and appropriately information, problems, and solutions relating to legal informatics and technological innovation, using adequate technical-legal language. Learning skills: students will develop the skills necessary to continue independently the educational pathway in intelligent machines and law and to update their knowledge in light of technological and regulatory developments.

1. What is legal informatics • The classics and evolution of the discipline (e.g. Norbert Wiener, Lee Loevinger, Vittorio Frosini, Mario Losano, Renato Borruso, Giuseppe Corasaniti). • Elements of formal logic (e.g. propositions, connectives, elementary inferences, essential theorems, decidability, and algorithms). 2. AI Literacy • Use and applications of generative AI in legal study and research, through the models made available by Google to all LUISS students. 3. Legal applications and implications of digital innovation (approach empirical and laboratory-based, moving from the specific practical case to the broader issue or principle): • algorithmic society, digital sovereignty, artificial intelligence, and technology platforms • intellectual property rights in digital assets: legal protection of digital works, software, and databases; • electronic documents, electronic signatures, and electronic communications; • blockchain and smart contracts; • liability of service providers and digital platforms.

Teaching materials consist of the content of the lectures delivered by the instructor, the related handouts, and other materials shared on MyLuiss. Recommended readings (mandatory for non-attending students!): • Sartori, La società dell’informazione, Il Mulino • F. Faini-S. Pietropaoli, “Scienza giuridica e tecnologie informatiche. Temi e problemi”, 2° edizione, Giappichelli, capitoli 2, 6, 7 e 8 (solo paragrafo 4).

Learning: lectures, podcasts, and online quizzes Practice: case studies and simulations Inquiry: analysis of ideas and information across a range of materials and resources, using the LLMs authorised by the University to collect and analyse data and compare texts Collaboration: small-group work, discussion of peers’ results, and development of shared outcomes Discussion: seminars, in-class group discussions, online forums, and synchronous and asynchronous discussions Production: reports and presentations

The final grade, expressed on a 30-point scale and included in the overall grade point average, will be determined on the basis of the following components and corresponding percentages: 75% assessment of coursework completed during the course (midterm exam / assessment test through multiple-choice quizzes) 10% active participation in class 15% final examination (either written or oral).