AI and Law Summer School

• History of AI & Law, including a very brief history of AI
• Knowledge-based systems for representing regulations, including their application in public administration and regulatory compliance
• Models of legal argument, including case-based and logic-based approaches
• Evidential reasoning, including argumentation-based, scenario-based and Bayesian approaches
• Retrieving and analysing legal texts including case retrieval, discovery, information extraction, document analysis and design, and network analysis
• Predictive models, including predicting outcomes of cases, crimes and recidivism

You must submit your application and upload your CV and transcripts of your degrees via the interactive online application form. You need to:

1. Register and insert your personal details
2. Complete and submit your application

Once you have registered, you may continue to work on your application. Submit the application only when you have filled in all the information correctly and have successfully uploaded your CV and transcripts of your degrees.

After your application is evaluated, you will receive an acceptance email if you are admitted to the summer school.

If you have questions about the program, including whether it fits your other programs of study, please contact the organizers: [email protected].

The 2024 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, 8 July

08:30-09:00 Registration

• 09:00-10:30 Session 1.1.1: Introduction to AI and Law (Kevin Ashley)
• 11:00-12:30 Session 1.1.2: Knowledge-based systems: Theory (Giuseppe Contissa)
• 14:00-15:30 Session 1.2.1: Knowledge-based systems: Hands-on Session (Giuseppe Contissa)
• 16:00-17:30 Session 1.2.2: Legal Knowledge Modelling: from Semantic to the Rules (Monica Palmirani)

Day 2 — Tuesday, 9 July

• 09:00-10:30 Session 2.1.1: Models of legal argument: Case-based approaches (Kevin Ashley)
• 11:00-12:30 Session 2.1.2: Models of legal argument: Logical and integrated approaches (Henry Prakken)
• 14:00-15:30 Session 2.2.1: Models of legal argument: Evidential reasoning (Henry Prakken)
• 16:00-17:30 Session 2.2.2: Day 2: Hands-on session (Kevin Ashley, Henry Prakken)

Day 3 — Wednesday, 10 July

• 09:00-10:30 Session 3.1.1: Machine learning: Introduction (Marco Lippi)
• 11:00-12:30 Session 3.1.2: Machine learning: Introduction (Marco Lippi)
• 14:00-15:30 Session 3.2.1: Information extraction from legal text Adam Wyner)
• 16:00-17:30 Session 3.2.2: Legal Aspects of AI and Law: Fairness, Explainability and the AI Act (Giovanni Sartor, Rūta Liepiņa)

Day 4 — Thursday, 11 July

• 09:00-10:30 Session 4.1.1: Text analytics and legal cases (Andrea Loreggia)
• 11:00-12:30 Session 4.1.2: Text analytics and legal cases: Hands-on Session (Francesca Lagioia)
• 14:00-15:30 Session 4.1.3: Text analytics and legal cases. Hands-on Session (Andrea Loreggia)
• 16:00-17:30 Session 4.1.4: Text analytics (advanced) (Kevin Ashley)

Day 5 — Friday, 12 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: AI and Law in practice (Floris Bex)
• 16:00-17:30 Closing session (Giovanni Sartor, Kevin Ashley, Henry Prakken) + Certificates of attendance

Every day of the course, except for the final day, will have four sessions, lasting 1:30h each. Between each session, there will be a 30-minute break. The table below shows the start and end times of each session, specified in Florence time (CET).

First session

• 9:00 AM - 10:30 PM

Second Session

• 11:00 AM - 12.30 PM

Lunch

• 12:30 PM - 14:00 PM

Third session

• 14:00 PM - 15.30 PM

Fourth Session

• 16:00 PM - 17:30 PM

The selected candidates will be sent a link to register online for the Course and pay the registration fee corresponding to their modality of participation:

• In-person fee: 600 euros
• Online fee: 400 euros

The registration fee includes e-learning materials and access to all sessions and online events of the Summer School.

We encourage candidates from the so-called ‘Widening Countries’ to apply.

If you are a candidate from one of the following countries, you may be eligible for your course costs to be paid through the EUI’s Widening Programme. Please indicate on your application form or by writing an email to [email protected] if you wish to be considered, and indicate if your participation is conditional on this funding.

In the European Union:
Bulgaria, Croatia, Cyprus, Czechia, Estonia, Greece, Hungary, Latvia, Lithuania, Malta, Poland, Portugal, Romania, Slovakia, and Slovenia.

Outside the European Union:
Albania, Bosnia & Herzegovina, Kosovo, Montenegro, North Macedonia, Serbia, Moldova, and Ukraine.