Education for the Provision of Technologically Enhanced Legal Services

Václav Janeček, Rebecca Williams, Ewart Keep

Research output: Contribution to journalArticle (Academic Journal)peer-review

11 Citations (Scopus)

Abstract

Legal professionals increasingly rely on digital technologies when they provide legal services. The most advanced technologies such as artificial intelligence (AI) promise great advancements of legal services, but lawyers are traditionally not educated in the field of digital technology and thus cannot fully unlock the potential of such technologies in their practice. In this paper, we identify five distinct skills and knowledge gaps that prevent lawyers from implementing AI and digital technology in the provision of legal services and suggest concrete models for education and training in this area. Our findings and recommendations are based on a series of semi-structured interviews, design and delivery of an experimental course in ‘Law and Computer Science’, and an analysis of the empirical data in view of wider debates in the literature concerning legal education and 21st century skills.
Original languageEnglish
Article number105519
JournalComputer Law and Security Review
Volume40
Early online date16 Dec 2020
DOIs
Publication statusPublished - Apr 2021

Bibliographical note

Funding Information:
This research was supported by the UK Research and Innovation (UKRI) Industrial Strategy Challenge Fund: ?Next Generation Services?. An early version of this paper was presented as part of a keynote talk at The Future of Legal Education and Training Conference 2020, organised by Legal Cheek, and the Future of LawTech Education (WP5) workshop organised by the University of Oxford as part of the AI4Law Workshop Series. We would like to thank all our interviewees and the inaugural ?Law and Computer Science? class of 2019/20 for their insights. We would also like to thank Nikita Aggarwal for conducting some of the interviews, Jessica Brown for her administrative support, and Stuart Hopper and The Modern Law Review's anonymous referee for their comments on an earlier version of this article. Our thanks are finally due to all the lecturers and guests on the ?Law and Computer Science? course, and?most importantly?to Tom Melham for co-convening the course.

Funding Information:
This research was supported by the UK Research and Innovation (UKRI) Industrial Strategy Challenge Fund: ‘Next Generation Services’. An early version of this paper was presented as part of a keynote talk at The Future of Legal Education and Training Conference 2020, organised by Legal Cheek, and the Future of LawTech Education (WP5) workshop organised by the University of Oxford as part of the AI4Law Workshop Series. We would like to thank all our interviewees and the inaugural ‘Law and Computer Science’ class of 2019/20 for their insights. We would also like to thank Nikita Aggarwal for conducting some of the interviews, Jessica Brown for her administrative support, and Stuart Hopper and The Modern Law Review's anonymous referee for their comments on an earlier version of this article. Our thanks are finally due to all the lecturers and guests on the ‘Law and Computer Science’ course, and—most importantly—to Tom Melham for co-convening the course.

Publisher Copyright:
© 2020 Václav Janeček, Rebecca Williams, Ewart Keep

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