Brooks, C. orcid.org/0000-0003-1580-045X, Gherhes, C. orcid.org/0000-0003-2085-3580 and Vorley, T. orcid.org/0000-0002-3889-245X (2020) Artificial intelligence in the legal sector: pressures and challenges of transformation. Cambridge Journal of Regions, Economy and Society, 13 (1). pp. 135-152. ISSN 1752-1378
Abstract
Recent technological developments in automation and Artificial Intelligence (AI) promise to disrupt the very foundations of how legal work is practised and delivered. Yet how they challenge current business models, where they encounter resistance, and how the benefits of AI can be realised remain unexplored. Drawing on interviews with professionals in the UK legal services sector, the paper highlights how technological and market pressures combine to challenge the business models of legal services firms. However, the findings reveal important cultural and structural challenges that hamper transformation. The paper extends the debate on technological disruption in legal services through a focus on business model innovation as a tool that can support firms in the sector to reimagine legal service provision.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2020. Published by Oxford University Press on behalf of the Cambridge Political Economy Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Artificial intelligence; Business model innovation; Legal services; Technology adoption; Industrial Strategy; Next generation services |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Dec 2019 13:04 |
Last Modified: | 19 Oct 2021 09:56 |
Status: | Published |
Publisher: | Oxford University Press |
Refereed: | Yes |
Identification Number: | 10.1093/cjres/rsz026 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:154830 |