MACHINE INTELLIGENCE AND LAW

Introduce students to the scientific and applicative perspectives stemming from the encounter between law, computer science and information technology. Offer an updated overview of the tools and methods that support the science and practice of law through digital technologies and automatic data processing. Introduce students to a cultural and scientific perspective in which computation and information science turn into an opportunity to fundamentally rethink the paradigms of legal science and practice

In the context of a Legal Informatics course, the expected learning outcomes can vary depending on the specific approach taken, but some general objectives might be the following: Theoretical Knowledge: 1) Understanding the fundamentals of legal informatics: Become familiar with the basic principles of informatics applied to law, including the management of legal information and computerized legal systems. 2) Knowledge of legal information management systems: Learn how legal information storage and management systems work, such as legal databases, and how to use them effectively. 3) Data protection and privacy regulations: Gain in-depth knowledge of privacy rights, data protection regulations (such as GDPR), and their impact on the use of information technologies. 4) Law of emerging technologies: Understand the legal framework governing the use of emerging technologies (e.g., artificial intelligence, blockchain, cryptocurrencies) and the related ethical and legal challenges. Practical Skills: 1) Ability to use legal informatics tools: Be able to use specific legal software and informatics tools, such as e-discovery systems, case management software, and advanced legal research platforms. 2) Legal data analysis: Develop skills in analyzing large volumes of legal data (Legal Analytics) and applying machine learning techniques or other technologies for automating legal processes. 3) Managing cybersecurity issues: Have the ability to identify and respond to cybersecurity issues specific to the legal sector, such as protecting sensitive data and preventing cyberattacks. 4) Designing legal information systems: Be able to collaborate on the design or evaluation of information systems intended to automate legal processes or manage legal data.

Students will be able to follow the analytical content of this course if they have a basic knowledge in: Civil Law, Corporate Law, Labour Law, EU Law, Business and Administration, Marketing and Informatics. By basic knowledge we mean the command of the notions offered in the courses of the first University degree as well as the learning of the standard models of the forenamed subjects.

1. Introduction to Legal Informatics: Foundations 2. Legal Informatics: Key Concepts and Branches 3. Information and Documentation in the Digital Age 4. Legal Information Retrieval 5. Knowledge Machineries: tools and methods for legal analytics 6. ICT and Legislative Drafting 7. E-democracy, E-participation 8. Artificial Intelligence and Law: Origins and Early Applications 9. Computational Social Science and Computational Legal studies 10. Focus: artificial societies and law 11. Focus: complex network analysis and law 12. Tools and Perspectives of Techno-regulation

The reference materials for the course will consist of slides and scientific articles that will be uploaded to the professor's webpage.

Slides will be available after the lesson covering each of the specific topics addressed in the course.

Oral Exam

The final exam is oral and is aimed at verifying the general skills acquired by the student at the end of the course through an open discussion on the main topics of the course