Grenoble Law SchoolLaw at the top

How did the TEDIA project come about?

We are both conducting research projects on operational legal AI and therefore have a certain amount of expertise in this area. In addition, we wanted to work together in order to cover as many areas of AI application as possible, in both public and private law.

We responded to the Idex "Emergents 2024" call for projects, which aimed to provide teaching teams with the necessary support to bring their educational initiatives to fruition. We were awarded €45,000 in funding, which began on January 1, 2025, and will run for 18 months.

Who else are you collaborating with on this project?

As part of the TEDIA project, the Faculty of Law is partnering with the MIAI Cluster IA (Multidisciplinary Institute in Artificial Intelligence),Université Grenoble Alpes the Center for Legal Research.

In addition, an intern has been recruited to handle the logistics of the project. Students from the Master's program in Justice, Trials, and Procedures will also be involved. Finally, we would like to thank the administrative team at the Faculty of Law for their help in setting up and implementing the project.

What is the objective of the TEDIA project, first and foremost for students?

Our aim is to introduce students to the use of operational legal artificial intelligence tools. To this end, we want to introduce AI to as many students as possible and as early as possible, namely from the second year of their bachelor's degree. Students will be offered an optional 18-hour course entitled "Legal AI" from the first semester of the 2025-2026 academic year. This course will present some basic elements of legal AI, the relationship between AI and law, and the various generative legal AI tools available on the market (e.g., ORDALIE, PREDICTICE, DOCTRINE, LEXIS IA, GEN-IAL from Dalloz, etc.).

The challenge is to raise students' awareness of the consequences of AI's arrival on various legal professions, its use, its limitations, and the associated risks. These tools will be commonly used in the future, just like the traditional legal tools that are already presented to students. It is therefore crucial that students understand how they work and know how to use them effectively and cautiously.

What about professionals?

An "AI Week" will be organized at the Faculty of Law at the start of the 2025 academic year (September 17, 18, and 19).
The aim of this event is to bring together legal professionals from different backgrounds to discuss major contemporary issues in operational legal AI. It will feature plenary conferences and practical workshops, in which legaltech companies (companies offering digital legal services) will present their tools. The audience will be able to try out the various software programs for themselves.

The program for these days is currently being developed. However, we can announce a few themes:

• Transformation of legal professions and AI
• AI and justice (judicial, constitutional, and administrative)
• Legal AI computer technology
• AI and administrative action
• Ethics and regulation of AI

The plenary lectures and workshops will be open to professionals as well as students and faculty members (registration required for workshops and free admission for lectures).

What about the faculty members at the School of Law?

Training on the use of operational legal AI tools will be offered to volunteer professors and teaching assistants. The goal is to help them identify when students are using these tools and to consider changes to teaching and assessment methods. Some AI systems are capable of producing better case summaries than students, which means that teaching methods need to be rethought!
We can imagine that a workshop will be dedicated to them during AI Week for the presentation and introduction to the various tools.

These tools are constantly improving, and it is necessary to learn how to use them in order to maintain perspective and remain vigilant.
In addition, the subject of AI is supported by the research of a growing number of faculty members in the Faculty of Law.

Is this project a test for introducing AI into the Faculty's future training program?

The idea, if the test is successful, is to include a course on operational legal AI in the future curriculum for the second year of the bachelor's degree program. Similarly, AI Week would be repeated every year.

We also wish to establish partnerships with the courts, the Grenoble Bar Association, the CNFPT, and the Court of Appeal in order to offer them continuing education.
In particular, we have a project for a university diploma in legal AI, as part of the new accreditation process, which will depend on the sustainability of the initiative.

Where are we in terms of AI progress in the legal world?

The advent of AI affects all legal professions: judges, lawyers, notaries, public officials, etc.
There was an initial phase of developing predictive justice software focused on statistics. Today, generative AI has taken over.

We are also entering a new era in which legaltech tools are no longer created solely by AI pioneers (such as Chat GPT) who develop legal modules or by start-ups specializing in this technology, but also by major traditional legal publishers (such as Lexis Nexis) who are beginning to take their share of the market.

How have academics embraced AI so far, and what makes Grenoble unique?

Although AI is not yet taught in all law schools, it is becoming an increasingly important topic. Some major universities are already well ahead in this movement, so it is important to jump on the bandwagon!

While we are aware of the risks associated with the use of AI, we take a positive approach to it and, unlike many academics to date, we do not focus on AI law or data law, but rather on operational legal AI, studying how AI is implemented in the legal, judicial, and academic professions and what the impacts are.

With the TEDIA project, the Grenoble Law School is positioning itself as a pioneer, both in terms of the training it provides its students and the expertise developed by its faculty in the field of operational legal AI.
In conclusion, we are ahead of the game and want to stay that way!