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As AI technology evolves, the idea of robot lawyers arguing before the Supreme Court is moving from sci-fi fantasy to a plausible reality, raising profound questions about justice and representation.
The advent of advanced AI technology has brought about a new era in legal practice, particularly in the realm of oral arguments. In January 2023, DoNotPay offered $1 million to any lawyer or individual with an upcoming case before the United States Supreme Court to allow their AI-powered "robot lawyer" to argue the case via AirPods. At the time, this proposal was widely dismissed as a gimmick. However, recent developments suggest that the capabilities of AI in legal advocacy have advanced far beyond what was initially imagined.
The implications of AI-assisted oral arguments are significant for both the legal profession and the justice system. If robot lawyers can perform at or above the level of human advocates, this could lead to more efficient and consistent legal representation. Moreover, it raises important questions about the role of technology in the courtroom and the potential for automated justice.
To assess the feasibility of AI in Supreme Court oral arguments, I conducted a test using my own case, Williams v. Reed, which I argued last October. The process involved inputting the briefs and key precedents into Claude 4.0 Opus, an advanced AI model, and providing it with tips for effective advocacy in the Supreme Court.
The experiment revealed that the AI's performance was not only competent but also comparable to my own human responses. In some instances, the AI provided answers that were more concise and on-point, demonstrating a potential advantage over traditional human advocates.
Despite the promising results, there are several risks associated with the use of robot lawyers in oral arguments:
Ethical Concerns: The ethical implications of allowing an AI to represent clients in court need careful consideration. Issues such as client confidentiality, the duty of loyalty, and the potential for bias must be addressed.
Technological Dependence: Over-reliance on AI could lead to a degradation of human advocacy skills. Lawyers may become less proficient at critical thinking and oral communication if they rely too heavily on automated assistance.

The potential benefits of AI-assisted oral arguments are substantial:
Efficiency and Consistency: AI can process vast amounts of information quickly and accurately, leading to more efficient preparation and presentation of cases. This could result in more consistent and well-reasoned arguments.
Accessibility: AI has the potential to make high-quality legal representation more accessible to a broader range of clients, particularly those who cannot afford top-tier human advocates.
Innovation: The integration of AI into legal practice can drive innovation and lead to new methods for improving the justice system. It could also spur further advancements in AI technology itself.
The experiment with Claude 4.0 Opus suggests that robot lawyers are not only a viable option for Supreme Court oral arguments but may even outperform human advocates in certain scenarios. While there are significant risks and ethical considerations, the potential benefits of AI in legal practice are too substantial to ignore. Courts should consider permitting and regulating the use of robot lawyers to ensure that they enhance, rather than detract from, the quality of justice.
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↗ https://adamunikowsky.substack.com/p/automating-oral-argument?utm_source=tldrai
About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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9 July 2025
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