澳大利亚麦考瑞大学计算机学者Gregory Baker利用AI工具自我代理，在公平工作委员会诉讼中胜诉，成功将其身份从临时员工转变为兼职员工1。这被认为是已知首例自我代理人在法律领域成功运用技术的案例1。Baker在诉讼中使用了ChatGPT Pro等付费AI代理工具来组建案件、跟进参考资料并预测雇主的反驳1。
Baker在2023年至2025年期间连续学期在麦考瑞大学教授计算机科学1。2025年11月，他通知大学其工作不再符合临时就业要求，随后在12月向公平工作委员会提起争议1。仲裁于5月12日进行，裁定于上周三作出1。
这次胜诉对于扩大司法获取具有象征意义1。澳大利亚法律援助资金有限，大多数社区处于"缺失的中间"状态1，而该案例反映出AI工具在帮助无法负担传统法律代理费用的人士获得司法途径方面的潜力。不过，这一成功也在一定程度上取决于使用者的专业背景和AI技能1。该裁定也成为2024年澳大利亚通过的劳工"员工选择途径"改革的首次测试1。
A computer science scholar at Macquarie University in Australia has achieved a landmark legal victory using artificial intelligence tools to represent himself in an employment dispute. Gregory Baker used paid AI agents including ChatGPT Pro to build his case, prepare arguments, and anticipate his employer's counterarguments, and successfully convinced the Fair Work Commission that he should be classified as a continuing part-time employee rather than a temporary worker.1
The tribunal's decision represents the first known instance of a self-represented individual successfully leveraging AI technology in legal proceedings.1 Baker had been teaching computer science at Macquarie University across consecutive semesters from 2023 to 2025, and in November 2025 notified the university that his work no longer met the requirements for temporary employment.1 He subsequently filed a dispute with the Fair Work Commission in December 2025, with the arbitration hearing held on May 12 and the ruling delivered the following Wednesday.1 The case marks the first test of labor reforms passed in 2024 that created an "employee choice pathway" for workers seeking reclassification.1
The outcome underscores the potential of AI tools to expand access to justice in a context where demand significantly outpaces available legal resources in Australia.1 The Fair Work Commission has experienced a 70 percent increase in caseload over three years, while legal aid funding remains limited, leaving many in the community in what has been described as the "missing middle" with inadequate access to representation.1 However, Baker's success also reflects the influence of his professional background and technical expertise with AI systems, suggesting that such outcomes may depend on the user's specialized knowledge and AI skills.1
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