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A survey of lay people’s willingness to generate legal advice using Large Language Models (LLMs)

A survey of lay people’s willingness to generate legal advice using Large Language Models (LLMs)
A survey of lay people’s willingness to generate legal advice using Large Language Models (LLMs)

As of November 2022-following the release of OpenAI's ChatGPT-the general public's awareness of generative AI, and specifically Large Language Models (LLMs) has increased. LLMs such as ChatGPT now have the capability to generate text indistinguishable from human authored text, which comes with numerous risks. In this paper, we investigate public perception and willingness to use LLMs as a substitute for legal advice from legal professionals. Our findings show that while few people have used it for this purpose, the willingness to rely on LLMs in the future is growing. Interestingly, this depends on the specific area of law, and while LLMs are perceived to be highly valuable in relation to topics such as tenancy and tax law, they seem to be perceived as less valuable in contexts such as divorce or civil disputes.

LLM, Large Language Models, Legal Advice, Public Perception
1-5
Association for Computing Machinery
Seabrooke, Tina
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Schneiders, Eike
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Dowthwaite, Liz
5dc18f65-ef15-4186-8a15-fb3f30a1a498
Krook, Joshua
e7261d11-4357-4e51-baca-115e64ae54dd
Leesakul, Natalie
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Clos, Jeremie
398fea21-4dc6-42ee-a2f1-cad9a789b378
Maior, Horia
db436dfa-e3a2-4abd-bcdd-d603bf782758
Fischer, Joel
a320ad79-0fb5-464b-9eac-f74918b5ea68
Seabrooke, Tina
bf0d9ea5-8cf7-494b-9707-891762fce6c3
Schneiders, Eike
9da80af0-1e27-4454-90e2-eb1abf7108bd
Dowthwaite, Liz
5dc18f65-ef15-4186-8a15-fb3f30a1a498
Krook, Joshua
e7261d11-4357-4e51-baca-115e64ae54dd
Leesakul, Natalie
953c9cf3-ac2f-4d8c-9ed7-da47f356626b
Clos, Jeremie
398fea21-4dc6-42ee-a2f1-cad9a789b378
Maior, Horia
db436dfa-e3a2-4abd-bcdd-d603bf782758
Fischer, Joel
a320ad79-0fb5-464b-9eac-f74918b5ea68

Seabrooke, Tina, Schneiders, Eike, Dowthwaite, Liz, Krook, Joshua, Leesakul, Natalie, Clos, Jeremie, Maior, Horia and Fischer, Joel (2024) A survey of lay people’s willingness to generate legal advice using Large Language Models (LLMs). In TAS 2024 - Proceedings of the 2nd International Symposium on Trustworthy Autonomous Systems. Association for Computing Machinery. pp. 1-5 . (doi:10.1145/3686038.3686043).

Record type: Conference or Workshop Item (Paper)

Abstract

As of November 2022-following the release of OpenAI's ChatGPT-the general public's awareness of generative AI, and specifically Large Language Models (LLMs) has increased. LLMs such as ChatGPT now have the capability to generate text indistinguishable from human authored text, which comes with numerous risks. In this paper, we investigate public perception and willingness to use LLMs as a substitute for legal advice from legal professionals. Our findings show that while few people have used it for this purpose, the willingness to rely on LLMs in the future is growing. Interestingly, this depends on the specific area of law, and while LLMs are perceived to be highly valuable in relation to topics such as tenancy and tax law, they seem to be perceived as less valuable in contexts such as divorce or civil disputes.

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TAS_24__Short___Regals___Are_LLM_s_relevant_for_Legal_advice - Accepted Manuscript
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More information

Accepted/In Press date: 22 July 2024
e-pub ahead of print date: 16 September 2024
Published date: 16 September 2024
Additional Information: Publisher Copyright: © 2024 Copyright held by the owner/author(s).
Venue - Dates: 2nd International Symposium on Trustworthy Autonomous Systems, TAS 2024, , Austin, United States, 2024-09-15 - 2024-09-18
Keywords: LLM, Large Language Models, Legal Advice, Public Perception

Identifiers

Local EPrints ID: 494475
URI: http://eprints.soton.ac.uk/id/eprint/494475
PURE UUID: 13e9435f-6614-434e-9419-68a711384489
ORCID for Tina Seabrooke: ORCID iD orcid.org/0000-0002-4119-8389
ORCID for Eike Schneiders: ORCID iD orcid.org/0000-0002-8372-1684

Catalogue record

Date deposited: 09 Oct 2024 16:38
Last modified: 15 Oct 2024 02:12

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Contributors

Author: Tina Seabrooke ORCID iD
Author: Eike Schneiders ORCID iD
Author: Liz Dowthwaite
Author: Joshua Krook
Author: Natalie Leesakul
Author: Jeremie Clos
Author: Horia Maior
Author: Joel Fischer

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