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Trajectories of legal work in the context of machine learning AI: conceptualising mediated evolution

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Trajectories of legal work in the context of machine learning AI: conceptualising mediated evolution. / Faulconbridge, James.
In: International Journal of the Legal Profession, Vol. 32, No. 1, 31.03.2025, p. 97-120.

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Faulconbridge J. Trajectories of legal work in the context of machine learning AI: conceptualising mediated evolution. International Journal of the Legal Profession. 2025 Mar 31;32(1):97-120. Epub 2025 Feb 13. doi: 10.1080/09695958.2025.2458039

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Faulconbridge, James. / Trajectories of legal work in the context of machine learning AI : conceptualising mediated evolution. In: International Journal of the Legal Profession. 2025 ; Vol. 32, No. 1. pp. 97-120.

Bibtex

@article{7f3eca45f03e4cd5810feb29b47c14a1,
title = "Trajectories of legal work in the context of machine learning AI: conceptualising mediated evolution",
abstract = "This paper explores the impacts of machine learning (ML), as one form of artificial intelligence, on legal work by examining three questions. First, it considers trajectories and how ML is being used in legal work. Actually existing use cases are examined to reveal how ML is changing legal work. Second, it considers questions about the barriers that are standing in the way of different trajectories, with the more rapid adoption of tried and tested forms of ML and some of the more radical changes that have been predicted being contingent on a range of factors. Third, this paper considers how evolution might change spaces of legal work and the legal profession. It examines both what ML might do to reconfigure the role of the lawyer within law firms and other spaces, and how lawyers might respond to this as the professional project adapts to the challenge of artificial intelligence. Through the analysis the paper develops the concept of mediated evolution which is a way of conceptualising change in legal work that is material and meaningful, but which is also path dependent and non-linear and thus needs to be understood through situated analysis of the enactment in practice of change ",
author = "James Faulconbridge",
year = "2025",
month = mar,
day = "31",
doi = "10.1080/09695958.2025.2458039",
language = "English",
volume = "32",
pages = "97--120",
journal = "International Journal of the Legal Profession",
issn = "0969-5958",
publisher = "Routledge",
number = "1",

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RIS

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T1 - Trajectories of legal work in the context of machine learning AI

T2 - conceptualising mediated evolution

AU - Faulconbridge, James

PY - 2025/3/31

Y1 - 2025/3/31

N2 - This paper explores the impacts of machine learning (ML), as one form of artificial intelligence, on legal work by examining three questions. First, it considers trajectories and how ML is being used in legal work. Actually existing use cases are examined to reveal how ML is changing legal work. Second, it considers questions about the barriers that are standing in the way of different trajectories, with the more rapid adoption of tried and tested forms of ML and some of the more radical changes that have been predicted being contingent on a range of factors. Third, this paper considers how evolution might change spaces of legal work and the legal profession. It examines both what ML might do to reconfigure the role of the lawyer within law firms and other spaces, and how lawyers might respond to this as the professional project adapts to the challenge of artificial intelligence. Through the analysis the paper develops the concept of mediated evolution which is a way of conceptualising change in legal work that is material and meaningful, but which is also path dependent and non-linear and thus needs to be understood through situated analysis of the enactment in practice of change

AB - This paper explores the impacts of machine learning (ML), as one form of artificial intelligence, on legal work by examining three questions. First, it considers trajectories and how ML is being used in legal work. Actually existing use cases are examined to reveal how ML is changing legal work. Second, it considers questions about the barriers that are standing in the way of different trajectories, with the more rapid adoption of tried and tested forms of ML and some of the more radical changes that have been predicted being contingent on a range of factors. Third, this paper considers how evolution might change spaces of legal work and the legal profession. It examines both what ML might do to reconfigure the role of the lawyer within law firms and other spaces, and how lawyers might respond to this as the professional project adapts to the challenge of artificial intelligence. Through the analysis the paper develops the concept of mediated evolution which is a way of conceptualising change in legal work that is material and meaningful, but which is also path dependent and non-linear and thus needs to be understood through situated analysis of the enactment in practice of change

U2 - 10.1080/09695958.2025.2458039

DO - 10.1080/09695958.2025.2458039

M3 - Journal article

VL - 32

SP - 97

EP - 120

JO - International Journal of the Legal Profession

JF - International Journal of the Legal Profession

SN - 0969-5958

IS - 1

ER -