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AI-Enabled Business Models in Legal Services / Law and Technology Education - Survey of Solicitors in England and Wales, 2019-2020
Creator
Armour, J, University of Oxford
Parnham, R, Legal Services Board
Sako, M, University of Oxford
Study number / PID
855413 (UKDA)
10.5255/UKDA-SN-855413 (DOI)
Data access
Restricted
Series
Not available
Abstract
This dataset was created through an anonymous survey of solicitors in England and Wales, conducted between 12 November 2019 and 13 January 2020. Respondents answered a series of questions regarding their use of AI technology, as well as their training for and attitudes to the use of technology in their work. After discarding partial responses, the dataset comprises a total of 353 valid responses.The proposed research will explore the potential and limitations of using artificial intelligence (AI) in support of legal services. AI's capabilities have made enormous recent leaps; many expect it to transform how the economy operates. In particular, activities relying on human knowledge to create value, insulated until now from mechanisation, are facing dramatic change. Amongst these are professional services, such as law.
Like other professions, legal services contribute to the economy both through revenues of service providers and through benefits provided to clients. For large business clients, who can choose which legal regime will govern their affairs, UK legal services are an export good. For small businesses and citizens, working within the domestic legal system, UK legal services affect costs directly. Yet unlike other professions, the legal system has a dual role in society. Beyond the law's role in governing economic order, the legal system is more fundamentally a structure for social order. It sets out rules agreed on by society, and also the limits of politicians' ability to enact these rules.
Consequently, the stakes for AI's implementation in UK legal services are high. If mishandled, it could threaten both economic success and governance more generally. Yet if executed effectively, it is an opportunity to improve legal services not only for export but also for citizens and domestic small businesses. Our research seeks to identify how constraints on the implementation of AI in legal services can be relaxed to unlock its potential for good.
One major...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
02/01/2019 - 31/12/2021
Country
United Kingdom
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Data collection mode
The survey was run anonymously using the Qualtrics platform. Invitations to participate were distributed by email to 10,000 randomly-selected solicitors. In order to increase survey participation, subsequent survey invitations were sent to under-represented groups of respondents. Further details of survey methodology, participant information, and the survey questions are included in the data documentation.
Funding information
Grant number
ES/S010424/1
Access
Publisher
UK Data Service
Publication year
2022
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.