Adopting robot lawyer? The extending artificial intelligence robot lawyer technology acceptance model for legal industry by an exploratory study

Xu, Ni; Wang, Kung‐Jeng

doi:10.1017/jmo.2018.81

Cited by 37 publications

(25 citation statements)

References 75 publications

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“…We thus conduct an interdisciplinary investigation in the areas of intelligent technology, law, logic, informatics, and so on [2]. This fast development of AI will influence the marketplace for legal services, the structural transformation in the legal profession, and the reorganization of resources for legal bots [3,4]. AI will improve the agility of legal services and will upgrade the standard of legal services by attaining broader justice of the judiciary and by removing the asymmetry of legal service resources in the future [5,6].…”

Section: Literature Reviewmentioning

confidence: 99%

“…AI will improve the agility of legal services and will upgrade the standard of legal services by attaining broader justice of the judiciary and by removing the asymmetry of legal service resources in the future [5,6]. However, legal AI bots are not actual specialists, and human lawyers need to observe whenever necessary [4,7]. How to change human thinking and procedures is a significant issue in this area of AI, and it is also a mission that law people need to confront [8,9].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Legal AI bots could deal with the question of disproportion in legal service resources [4,10]. In the 1970s, researchers started to study the combination of law and AI by investigating the application of robot judgements to replace human judgements by removing legal vagueness [4,11,12]. However, this primary legal AI is to serve and assist bots or judges in dealing with events and not to replace them [4,10,13].…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to previous research, a legal bot may offer an attractive technology of AI as users will find it an interesting and innovative approach. Various factors might have an impact on users' behavior and their willingness to use legal AI bots [4]. Xu and Wang [4] studied how individuals' willingness to be innovative and their perception of the usefulness of a method affect the adoption of a legal AI bot.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Various factors might have an impact on users' behavior and their willingness to use legal AI bots [4]. Xu and Wang [4] studied how individuals' willingness to be innovative and their perception of the usefulness of a method affect the adoption of a legal AI bot. Other research has applied TAM to investigate how users accept novel ideas and implement a legal AI bot [4,21].…”

Section: Literature Reviewmentioning

confidence: 99%

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Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions

Lee

2020

Sustainability

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This study explores the implementation of legal artificial intelligence (AI) robot issues for sustainable development related to legal advisory institutions. While a legal advisory AI Bot using the unique arithmetic method of AI offers rules of convenient legal definitions, it has not been established whether users are ready to use one at legal advisory institutions. This study applies the MCDM (multicriteria decision-making) model DEMATEL (decision-making trial and evaluation laboratory)-based Analytical Network Process (ANP) with a modified VIKOR, to explore user behavior on the implementation of a legal AI bot. We first apply DEMATEL-based ANP, called influence weightings of DANP (DEMATEL-based ANP), to set up the complex adoption strategies via systematics and then to employ an M-VIKOR method to determine how to reduce any performance gaps between the ideal values and the existing situation. Lastly, we conduct an empirical case to show the efficacy and usefulness of this recommended integrated MCDM model. The findings are useful for identifying the priorities to be considered in the implementation of a legal AI bot and the issues related to enhancing its implementation process. Moreover, this research offers an understanding of users’ behaviors and their actual needs regarding a legal AI bot at legal advisory institutions. This research obtains the following results: (1) It effectively assembles a decision network of technical improvements and applications of a legal AI bot at legal advisory institutions and explains the feedbacks and interdependences of aspects/factors in real-life issues. (2) It describes how to vary effective results from the current alternative performances and situations into ideal values in order to fit the existing environments at legal advisory institutions with legal AI bot implementation.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions

Lee

2020

Sustainability

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More trust or more risk? User acceptance of artificial intelligence virtual assistant

Xiong,

Shi,

et al. 2023

Hum Ftrs & Erg Mfg Svc

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Artificial intelligence (AI) virtual assistants are rapidly growing, permeating people's daily lives and work. However, some trust and risk issues prevent the acceptance and use of AI virtual assistants by users. Thus, understanding the roles of trust and perceived risk in user acceptance of AI virtual assistants is crucial. This study develops a comprehensive research model based on unified theory of acceptance and use of technology (UTAUT) to explain user acceptance of AI virtual assistants. This model extends UTAUT by adding users' perception of trust and risk. The research model and hypotheses are validated through structural equation modeling with a sample of 926 AI virtual assistant users. Results show that gender is significantly related to behavioral intention to use, education is positively related to trust and behavioral intention to use, and usage experience is positively related to attitude toward using. UTAUT variables, including performance expectancy, effort expectancy, social influence, and facilitating conditions, are positively related to behavioral intention to use AI virtual assistant. Trust and perceived risk respectively have positive and negative effects on attitude toward using and behavioral intention to use AI virtual assistants. Trust and perceived risk play equally important roles in explaining user acceptance of AI virtual assistants. Theoretical and practical implications of the current AI virtual assistant acceptance model and directions for future research are discussed.

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Understanding the Nature and Constituent Elements of Artificial Intelligence-Based Applications: A Scoping Review Research in Progress

Korosec-Serfaty

Negoita

Guinea

et al. 2022

Lecture Notes in Computer Science

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Adopting robot lawyer? The extending artificial intelligence robot lawyer technology acceptance model for legal industry by an exploratory study

Cited by 37 publications

References 75 publications

Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions

Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions

More trust or more risk? User acceptance of artificial intelligence virtual assistant

Understanding the Nature and Constituent Elements of Artificial Intelligence-Based Applications: A Scoping Review Research in Progress

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