Factors Driving Chatbot Adoption in the Legal Domain: a Fuzzy-set Qualitative Comparative Analysis in the Italian Domain

This paper explores the adoption and use of AI chatbots by knowledge workers in the Italian legal sector. Distancing ourselves from existing literature, which mainly examines chatbots as interactive agents and focuses on the implications for human agency, this paper concentrates on chatbots as tools for text manipulation that knowledge workers use. We collected data from 39 respondents to explore the causal factors influencing the usage behaviour of knowledge workers. The results of a fuzzy set qualitative comparative analysis reveal four causal configurations identifying four profiles of knowledge workers: enthusiastic explorers of the technology with a positive attitude towards innovation on one side, and cautious collaborators, team-oriented innovators, and intensive independent users who approach AI chatbot usage more critically, whether in individual or teamwork settings. Our research has implications for both research and practice, highlighting the need to advance the investigation into the lack of perceived risk associated with AI chatbots and examining the role of usage intensity.

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Publication Details

Journal
Journal of the Association for Information Systems
Published
2025-06-18
Primary Topic
Magnetic confinement fusion research
Type
article
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article

Factors Driving Chatbot Adoption in the Legal Domain: a Fuzzy-set Qualitative Comparative Analysis in the Italian Domain

Journal of the Association for Information Systems
Magnetic confinement fusion research
article

Factors Driving Chatbot Adoption in the Legal Domain: a Fuzzy-set Qualitative Comparative Analysis in the Italian Domain

article en

Abstract

This paper explores the adoption and use of AI chatbots by knowledge workers in the Italian legal sector. Distancing ourselves from existing literature, which mainly examines chatbots as interactive agents and focuses on the implications for human agency, this paper concentrates on chatbots as tools for text manipulation that knowledge workers use. We collected data from 39 respondents to explore the causal factors influencing the usage behaviour of knowledge workers. The results of a fuzzy set qualitative comparative analysis reveal four causal configurations identifying four profiles of knowledge workers: enthusiastic explorers of the technology with a positive attitude towards innovation on one side, and cautious collaborators, team-oriented innovators, and intensive independent users who approach AI chatbot usage more critically, whether in individual or teamwork settings. Our research has implications for both research and practice, highlighting the need to advance the investigation into the lack of perceived risk associated with AI chatbots and examining the role of usage intensity.

Journal of the Association for Information Systems
Università degli Studi della Tuscia (IT), Sapienza University of Rome (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 67%
Magnetic confinement fusion research
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