Legal Technology: Artificial Intelligence and Law
10 ECTS credits
Level of Study
Place of Instruction
Lectures and seminars will be a combination of UiB-based and online.
Objectives and Content
Legal Technology refers to the use of technology, software and computer analytics to provide legal services and justice. It is increasingly transforming legal practice and institutions and the nature of law and research. The most prominent development is the rise of computational applications in artificial intelligence in legal fields diverse as asylum, contracts, policing and finance. Moreover, creative uses of digital platforms and blockchain technology are providing new possibilities in dispute resolution, legal registries and private law orderings. This course will critically explore current trends and future possibilities of this transformation from the perspectives of legal science, computer science, social science and ethics. Students will:
- Learn about long-standing theory in law and artificial intelligence
- Study the rise of diverse computational law methods and processes
- Explore potential future applications and development
- Critically examine the sociology and ethics of this transformation for law and the legal profession.
- Meet leading legal technology actors
By the end of the course, students are expected to have gained:
- Knowledge of the rise of new legal technologies in both public and private law and potential future applications, globally and in Norway, with a focus on use of artificial intelligence, big data, blockchain and online platforms.
- Knowledge of how artificial intelligence is theorised in the field of law.
- Knowledge of potential ethical, legal and practical challenges with using legal technology, including accuracy, accountability, fairness and discrimination.
- Good knowledge of a specific sub-set of legal technology issues, in particular through the selected focus for the term paper/project, which can be a concrete legal technology project or a theoretical, doctrinal or ethical, or socio-legal reflection.
- Ability to understand how computational methods are being applied in law.
- Ability to reflect over the benefits and limitations of legal technology from different perspectives
- Ability to participate in policy debates about legal technology and/or design legal Technology.
- Understand how the idea and practice of law is being transformed by new technologies, especially through machine learning, blockchain and digital platforms.
- Develop contacts with practitioners in the legal technology industry.
- Development of oral presentation skills.
The course offers both the more traditional methods of teaching/learning, that is lectures and seminars (either UiB-based or on-line, if necessary), and requires that students accomplish an individual or group assignment, which introduces active learning. The assignments will be prepared in cooperation with external partners such as Media City and UiB's working group "Al and medicine». Working with "real life" cases and problems will additionally motivate students as they will have a possibility to present their answers to the relevant external partner.
In order to make sure that the students understand their assignments and that they have correctly identified the relevant data protection issues, they will be offered seminars with the course leader and teachers in order to discuss their assignments.
Working on a group assignment will necessarily require the students apply the theoretical knowledge they have acquired during the lecture and through self-studying in practice. They will have to engage in discussions and exchange the ideas. Student groups will preferably consist of students representing different nationalities and legal cultures, which will provide an additional opportunity to exchange knowledge and learn to cooperate and communicate.
Required Previous Knowledge
Three years of university studies.
Recommended Previous Knowledge
Three years of law studies.
Good level of English language.
Credit Reduction due to Course Overlap
No overlapping with courses at the Bergen Faculty of Law.
Access to the Course
The course is available for the following students:
- Admitted to the integrated master programme in law
- Admitted to the two-year master programme in law
- Exchange students at the Faculty of Law (master level only)
The pre-requirements may still limit certain students' access to the course:
The number of students admitted to the course is limited to 20, of which 15 from the Norwegian Master Programme and 5 international exchange students (master level only). If the number of applicants exceeds this, admission will be decided by way of lottery.
Teaching and learning methods
Active participation by the students is expected and necessary. This includes lectures, seminars, group work and activities related to project design and development.
The lectures combined with self-studying are the first step in the learning process that provide knowledge of data protection law and policies.
The seminars, individual work and group work promote active learning that allows for applying the theoretical knowledge in practice, makes the learning process both more effective and more efficient and develop the skills as described previously.
Students learn not only how to use the knowledge they already have, but also how to acquire more knowledge by using relevant sources and through cooperation with others.
Compulsory Assignments and Attendance
Compulsory programming exercise (pass/fail).
Compulsory attendance at first lecture and first seminar.
Forms of Assessment
- Presentation of draft group or individual term paper - counting 1/3
- Individual or group term paper (2000-3000 words per student) - counting 2/3
Examination Support Material
During the presentation of the results of the group work, students are allowed to consult and refer to a report in which they have described in detail the assignment, the legal issues they have identified, the manner in which they approached those issues and their solution(s)/answer(s).
A-E for passed, F for failed.
According to Faculty routines
Associate Professor Knut Martin Tande