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AI, the internet of legal things, and lawyers

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  • Kenneth Tung

Abstract

A great deal of has been written about the challenges of a legal profession that resists change and sub-optimizes clients’ benefits, and even more ink has been spilled on the opportunities and threats of AI. As laws are falling further behind an accelerating, dynamic world, the gap between businesses and opaque legal functions widens with the latter being perceived often as fire-fighting cost centers. This article calls out the opportunity of AI, specifically machine learning, and its impact on decision making as an opportunity for business leaders to elevate lawyers to contribute further to corporate strategies and operations. Surveying the implications of machine learning through the lens of each element of decision making, the article aims to bring the relevance of today's ubiquitous transformations to the legal function. It also reminds business leaders that the legal function will need some help, such as corporate legal strategists, to drive and sustain change that resides in the intersection of law, business and technology.

Suggested Citation

  • Kenneth Tung, 2019. "AI, the internet of legal things, and lawyers," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 390-403, October.
    • Handle: RePEc:taf:tjmaxx:v:6:y:2019:i:4:p:390-403
    DOI: 10.1080/23270012.2019.1671242
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    Cited by:

    1. Xueling Li & Yujie Long & Meixi Fan & Yong Chen, 2022. "Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 379-396, May.
    2. Paula Morella & María Pilar Lambán & Jesús Royo & Juan Carlos Sánchez & Jaime Latapia, 2023. "Technologies Associated with Industry 4.0 in Green Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    3. Baoshan Ge & Liyi Zhao, 2022. "The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC‐AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 440-461, May.
    4. Pompeu Casanovas & Louis de Koker & Mustafa Hashmi, 2022. "Law, Socio-Legal Governance, the Internet of Things, and Industry 4.0: A Middle-Out/Inside-Out Approach," J, MDPI, vol. 5(1), pages 1-28, January.
    5. Hong Jiang & Jinlong Gai & Shukuan Zhao & Peggy E. Chaudhry & Sohail S. Chaudhry, 2022. "Applications and development of artificial intelligence system from the perspective of system science: A bibliometric review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 361-378, May.
    6. Mengfan Li & Yongping Xie & Yuge Gao & Yanan Zhao, 2022. "Organization virtualization driven by artificial intelligence," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 633-640, May.
    7. Ke-Liang Wang & Ting-Ting Sun & Ru-Yu Xu, 2023. "The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises," Economic Change and Restructuring, Springer, vol. 56(2), pages 1113-1146, April.

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