It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F24%3A00140092" target="_blank" >RIV/00216224:14220/24:00140092 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s10506-024-09422-w" target="_blank" >https://link.springer.com/article/10.1007/s10506-024-09422-w</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10506-024-09422-w" target="_blank" >10.1007/s10506-024-09422-w</a>
Alternative languages
Result language
angličtina
Original language name
It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
Original language description
Large Language Models (LLMs) enable a future in which certain types of legal documents may be generated automatically. This has a great potential to streamline legal processes, lower the cost of legal services, and dramatically increase access to justice. While many researchers focus on proposing and evaluating LLM-based applications supporting tasks in the legal domain, there is a notable lack of investigations into how legal professionals perceive content if they believe an LLM has generated it. Yet, this is a critical point as over-reliance or unfounded scepticism may influence whether such documents bring about appropriate legal consequences. This study is the necessary analysis of the ongoing transition towards mature generative AI systems. Specifically, we examined whether the perception of legal documents' by lawyers and law students (n=75) varies based on their assumed origin (human-crafted vs AI-generated). The participants evaluated the documents, focusing on their correctness and language quality. Our analysis revealed a clear preference for documents perceived as crafted by a human over those believed to be generated by AI. At the same time, most participants expect the future in which documents will be generated automatically. These findings could be leveraged by legal practitioners, policymakers, and legislators to implement and adopt legal document generation technology responsibly and to fuel the necessary discussions on how legal processes should be updated to reflect recent technological developments.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50501 - Law
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Artificial Intelligence and Law
ISSN
0924-8463
e-ISSN
1572-8382
Volume of the periodical
Neuveden
Issue of the periodical within the volume
2024
Country of publishing house
DE - GERMANY
Number of pages
38
Pages from-to
1-38
UT code for WoS article
001368851900001
EID of the result in the Scopus database
2-s2.0-85211804503