Proposing a Framework for Investigating Acceptance of AI-Based Tools by Lawyers

被引:0
|
作者
Kondrateva, Galina [1 ]
Rhattat, Rachid [2 ]
Khvatova, Tatiana [3 ]
机构
[1] EDC Paris Business Sch, Mkt & Luxury Dept, Paris, France
[2] EDC Paris Business Sch, Dept Strategy Management & Supply Chain, Paris, France
[3] Emlyon Business Sch, Dept Innovat & Entrepreneurship, Lyon, France
关键词
Artificial Intelligence; lawyer; LegalTech; acceptance; SUPPORT STRUCTURES; SYSTEM; ADOPTION; TECHNOLOGY; INTENTION; UTAUT; OUTCOMES; IMPACTS; LAW;
D O I
10.1109/ISTAS57930.2023.10306097
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Equal access to legal services and law, guaranteed by the government, is one of the basic building blocks of democracy. A legal ecosystem can suffer from overload and lack of investment, which may result in access barriers for professionals and citizens and multiply societal inequalities. AI-based tools can solve many work-related issues in the legal ecosystem and democratise access to law and justice. Their major goal is to facilitate how legal professionals work, automatise decision-making, remove repetitive tasks, and decrease costs. This study proposes a framework for investigating lawyers' acceptance of AI-based tools and their role in reassuring equal access to law and justice. The study applies both qualitative and quantitative approaches. Based on eight interviews with experts, the study identifies the variables for the theoretical framework of AI-based tools' acceptance. The model was pretested with a sample of 60 lawyers.
引用
下载
收藏
页数:7
相关论文
共 50 条
  • [21] An AI-Based Image Quality Control Framework for Knee Radiographs
    Hongbiao Sun
    Wenwen Wang
    Fujin He
    Duanrui Wang
    Xiaoqing Liu
    Shaochun Xu
    Baolian Zhao
    Qingchu Li
    Xiang Wang
    Qinling Jiang
    Rong Zhang
    Shiyuan Liu
    Yi Xiao
    Journal of Digital Imaging, 2023, 36 (5) : 2278 - 2289
  • [22] On the Discovery of Frequent Gradual Patterns: A Symbolic AI-Based Framework
    Jerry Lonlac
    Imen Ouled Dlala
    Saïd Jabbour
    Engelbert Mephu Nguifo
    Badran Raddaoui
    Lakhdar Saïs
    SN Computer Science, 5 (7)
  • [23] Investigating Perceptions of AI-Based Decision Making in Student Success Prediction
    Afrin, Farzana
    Hamilton, Margaret
    Thevathyan, Charles
    Majrashi, Khalid
    ARTIFICIAL INTELLIGENCE IN EDUCATION: POSTERS AND LATE BREAKING RESULTS, WORKSHOPS AND TUTORIALS, INDUSTRY AND INNOVATION TRACKS, PRACTITIONERS AND DOCTORAL CONSORTIUM, PT II, 2022, 13356 : 315 - 319
  • [24] An automated AI-based framework for putamen volume measurement in MSA
    Papoutsi, M.
    Weatheritt, J.
    Reinwald, M.
    Gidado, I.
    Joules, R.
    Kaufmann, H.
    Qureshi, I.
    Wolz, R.
    MOVEMENT DISORDERS, 2022, 37 : S485 - S485
  • [25] An AI-based Issue Analyzing Framework for Clinical QA Workflow
    Wen, Ning
    Sun, Zhen
    Zong, Weiwei
    Gardner, Stephen
    Miller, Brett
    Movsas, Benjamin
    Chetty, Indrin
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2020, 108 (02): : E60 - E60
  • [26] An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs
    Mairhoefer, Dominik
    Laufer, Manuel
    Simon, Paul M.
    Sieren, Malte
    Bischof, Arpad
    Kaester, Thomas
    Barth, Erhardt
    Barkhausen, Joerg
    Martinetz, Thomas
    MEDICAL IMAGING WITH DEEP LEARNING, VOL 143, 2021, 143 : 484 - 496
  • [27] AI-based Academic Advising Framework: A Knowledge Management Perspective
    Bilquise, Ghazala
    Shaalan, Khaled
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (08) : 193 - 203
  • [28] An AI-Based Image Quality Control Framework for Knee Radiographs
    Sun, Hongbiao
    Wang, Wenwen
    He, Fujin
    Wang, Duanrui
    Liu, Xiaoqing
    Xu, Shaochun
    Zhao, Baolian
    Li, Qingchu
    Wang, Xiang
    Jiang, Qinling
    Zhang, Rong
    Liu, Shiyuan
    Xiao, Yi
    JOURNAL OF DIGITAL IMAGING, 2023, 36 (05) : 2278 - 2289
  • [29] ASDG - An AI-based framework for automatic classification of impact on the SDGs
    Sanchez-Roncero, Alejandro
    Garibo-i-Orts, Oscar
    Alberto Conejero, J.
    Eivazi, Hamidreza
    Rosenberg, Emelie
    Fuso-Nerini, Francesco
    Garcia-Martinez, Javier
    Hoyas, Sergio
    Vinuesa, Ricardo
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE, ICEGOV 2022, 2022, : 119 - 123
  • [30] On the use of AI-based tools like ChatGPT to support management research
    Burger, Bastian
    Kanbach, Dominik K.
    Kraus, Sascha
    Breier, Matthias
    Corvello, Vincenzo
    EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2023, 26 (07) : 233 - 241