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Artificial intelligence in the legal sector: pressures and challenges of transformation

Author

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  • Chay Brooks
  • Cristian Gherhes
  • Tim Vorley

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 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.

Suggested Citation

  • Chay Brooks & Cristian Gherhes & Tim Vorley, 2020. "Artificial intelligence in the legal sector: pressures and challenges of transformation," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 135-152.
    • Handle: RePEc:oup:cjrecs:v:13:y:2020:i:1:p:135-152.
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    File URL: http://hdl.handle.net/10.1093/cjres/rsz026
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    Citations

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    Cited by:

    1. Qian Hongdao & Sughra Bibi & Dahai Mu & Asif Khan & Asad Raza, 2022. "Legal Business Model Digitalization: The Post COVID-19 Legal Industry," SAGE Open, , vol. 12(2), pages 21582440221, April.
    2. Judith Clifton & Amy Glasmeier & Mia Gray, 2020. "When machines think for us: the consequences for work and place," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 3-23.
    3. Michael Weber & Moritz Beutter & Jörg Weking & Markus Böhm & Helmut Krcmar, 2022. "AI Startup Business Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 91-109, February.
    4. Cordasco, Carlo & Gherhes, Cristian & Brooks, Chay & Vorley, Tim, 2021. "An institutional taxonomy of adoption of innovation in the classic professions," Technovation, Elsevier, vol. 107(C).
    5. Jean-Philippe Deranty & Thomas Corbin, 2022. "Artificial Intelligence and work: a critical review of recent research from the social sciences," Papers 2204.00419, arXiv.org.
    6. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    7. Dovilė Barysė, 2022. "People’s Attitudes towards Technologies in Courts," Laws, MDPI, vol. 11(5), pages 1-28, September.

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