The 2023 AI and Law Summer School will take place over five lecture days. The tables below present the contents that will be covered in each session, as well as the professors responsible for the activities.
This program already reflects the hybrid format adopted for this edition of the Summer School, but it may be subject to changes before the activities begin.
Day 1 — Monday, 10 July
08:30-09:00 Registration09:00-10:30 Session 1.1.1: Introduction to AI and Law (Kevin Ashley)11:00-12:30 Session 1.1.2: Introduction to programming (Arthur Dyevre)14:00-15:30 Session 1.2.1: Knowledge-based systems. Theory (Guido Governatori)16:00-17:30 Session 1.2.2: Knowledge-based systems for representing regulations. Hands-on session (Guido Governatori)
Day 2 — Tuesday, 11 July
09:00-10:30 Session 2.1.1: Logic programs for representing and reasoning about rules and regulations (Robert Kowalski)11:00-12:30 Session 2.1.2: Knowledge-based systems for representing regulations (Giuseppe Contissa)14:00-15:30 Session 2.2.1: Knowledge-based systems and ontologies (Monica Palmirani)16:00-17:30 Session 2.2.2: Models of legal argument: Case-based approaches (Kevin Ashley)
09:00-10:30 Session 4.1.1: Models of legal argument: Hands-on Session (Henry Prakken)11:00-12:30 Session 4.1.2: Information extraction from legal text (Adam Wyner)14:00-15:30 Session 4.2.1: Text analytics and legal cases (Andrea Loreggia)16:00-17:30 Session 4.2.2: Text analytics and legal cases. Hands-on Session (Andrea Loreggia)
Day 5 — Friday, 14 July
09:00-10:30 Session 5.1.1: Legal forecasting (Arthur Dyevre)11:00-12:30 Session 5.1.2: Network analysis (Arthur Dyevre)14:00-15:30 Session 5.2.1: Text analytics in the legal domain: the case of contracts and privacy policies (Francesca Lagioia)16:00-17:30 Session 5.2.2: Prospects for legal analytics (Kevin Ashley and Amedeo Santosuosso)17:30-18:00 Closing session (Giovanni Sartor, Kevin Ashley, Henry Prakken, Scott Brewer, Juliano Maranhão) + Certificates of attendance