Generative AI tested in a US Supreme Court case: can it replace lawyers

Generative AI has reached one of the most closed and formalized fields — legal arguments in court. In a new experiment, a lawyer practicing in the US Supreme Court ran materials from his own case through a model to check whether such a system could be a real assistant in preparing a position, rather than just a machine for convincingly sounding arguments before actual legal scrutiny.

How the Experiment Went

The point of the test was not a spectacular demonstration that the model can speak "like a lawyer." Much more important is something else: is AI capable of understanding the logic of a specific dispute, identifying strong and weak arguments, and preparing a defense so that it withstands the level of the highest court instance? It is precisely at this level that the difference between a beautiful formulation and an argument that actually works against the opponent's counter-arguments and questions from judges is particularly noticeable.

For such cases, it is not enough to simply retell the facts or collect quotes from precedents. Legal work in the Supreme Court is built on nuances: how exactly the question is formulated, what consequences a particular decision will create, how consistently the logic is constructed, and whether the position will hold up after one precise clarification from the bench. Therefore, testing generative AI on a lawyer's own case became a broader test of the entire technology: does it understand law or only reproduce a plausible tone?

Where AI Helps

Even skeptics in the legal field usually acknowledge: in preparatory work, such models already provide value. They quickly process large amounts of text, help assemble a draft structure of a position, highlight potential gaps in argumentation, and suggest alternative formulations. When dealing with a complex case, this can save hours of manual work, especially in the early stages of analysis. For legal teams, this is already a tangible advantage in speed.

• Quick analysis of voluminous case materials
• Draft versions of arguments and counterarguments
• Identification of weak points in one's own position
• Preparation for possible questions from judges
• Comparison of several lines of defense

But this is precisely where the boundary between a useful tool and the illusion of replacing a person runs. Generative AI can sound confident even when relying on a shaky interpretation, missing important context, or overgeneralizing precedents. In legal practice, this is not a cosmetic error.

If a model suggests an argument that looks beautiful on screen but does not withstand scrutiny by law, fact, or procedure, the price of such confidence can be too high. And in a live presentation, the task is even more complex: a lawyer needs to instantly shift emphasis, react to judges' clarifications, and maintain strategy under pressure. There is also the question of responsibility.

If a lawyer uses AI as an assistant, the final decision is still made by a person, and that person is responsible for the accuracy of citations, correctness of references, and the strategy of the presentation. Therefore, the debate today is not so much about whether "a robot will replace lawyers," but about where the safe boundary of application lies. For now, generative AI looks more like an accelerator of preparation and a stress-tester of a position rather than a full participant in the legal process.

What This Means

The experiment with a case for the US Supreme Court shows the maturity of a new stage: AI is already strong enough to enter the most demanding professions as a working tool, but not yet reliable enough to be trusted with the final word. For the legal market, this is a signal to invest not in a "robot lawyer," but in systems that amplify humans, check arguments, reduce routine work, and do not substitute professional judgment, especially in an actual process before judges and in each individual case.