LAW42350

Learning Outcomes:

At the end of this modules, students will be able to:
Describe the historical, technical and commercial context for the evolution and adoption of legal technologies;
Appraise the effectiveness and desirability of various technologies for legal purposes, from different perspectives (e.g. ethical, economic or policy perspectives);
Describe the essential principles of how various legal technologies function, and demonstrate basic skills in their use;
Evaluate the changes to law and legal systems brought about by various emerging technologies and reflect upon the consequences for legal professions and the administration of justice.

Indicative Module Content:

Introduction to understanding legal technologies
Legal services and the economic context for legal technologies
Ethical concerns in the adoption of legal technologies
Law and generative AI technologies
Legal technologies in the administration of justice
Legal technologies in crime prevention and investigation

The United Nations identified seventeen Sustainable Development Goals (SDGs) as core to the 2030 Agenda for Sustainable Development, and UCD contributes in general to SDG 4 Quality Education. Further SDGs explored within this module if relevant are listed below. A scale of 1 - 5 indicates the extent to which the SDG is covered.


 

Student Effort Hours:

Approaches to Teaching and Learning:

This module will mix lecturer guided sessions and student led discussions in an interactive fashion.

Certain sessions will require students to prepare mandatory reading, research tasks or technical exercises. Students are strongly recommended to have access to their own laptop to meaningfully participate in the technical exercises. Required readings and exercises will be communicated to students in advance via Brightspace.

Students will have an opportunity to workshop their research projects with peers and get guidance on works in progress and on effective visual presentation of work via posters using specialist software.

Students on this module are expected to have read and understood the UCD Academic Integrity Policy and the School Protocol on Academic Integrity. Students must ensure that they comply with all requirements laid down therein and avoid academic misconduct. Given the focus of this module, students will be permitted to use generative artificial intelligence, or other machine learning technology, in their learning and in completing assessments on this module, and will be given specific guidance and parameters for such use in the context of their assignments.

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

As part of UCD's student support, under the Additional Consideration policy, extensions may be available for the following assessments in the module: Assignment (including essay/poster), Portfolio, Reflective Assignment, Report(s), and Individual Project.

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Peer review activities

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.