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Artificial intelligence in the legal sector

Pressures and challenges of transformation

Bibliographic Data

ID12913657
AuthorsC Brooks (0000-0003-1580-045X, University of Sheffield, corresponding author), Cristian Gherhes (0000-0003-2085-3580, University of Sheffield), Tim Vorley (0000-0002-3889-245X, University of Sheffield)
Year2020
Volume13
Issue1
Pages135-152
Publication date2020-01-06
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCambridge Journal of Regions Economy and Society (JOURNAL)
Journal identifiersISSN: 1752-1386 • E-ISSN: 1752-1378
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/cjres/rsz026
OpenAlexW3003285234
LanguageEN
Citations received9
References cited19

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 article 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 article 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 services provision

Automation · Business · Business model · Economics · Focus (optics · Legal service · Political science · Technological change · Work (physics · Artificial Intelligence in Law · Engineering · Law, AI, and Intellectual Property · Legal Education and Practice Innovations · Law · Marketing

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  • The Future of the Professions

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Unique citing works9
Citations per year1,5
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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