Comparing Human and AI Legal Reasoning

Human Brief

In USA v. Boudreau, the United States prosecuted Christopher Todd Boudreau. The case had been appealed from the District of Montana to the Ninth Circuit Court of Appeals. Boudreau appealed the denial of his motion to suppress child pornography evidence, to sever, and to exclude testimony, as well as his sentence. These are the facts of an undercover sting using "Mia," a 12-year-old fictional person, whose arrest led to the seizure of pornography.

Rule of Law: Fourth Amendment, Franks v. Delaware, Rule 8(a), FRE 404(b)/403, Sentencing Guidelines §2G2.2 (United States v. Boudreau, 2025).

Analysis: The warrant was supported by probable cause, the charges were sufficiently joined, the testimony was admissible, and the sentence was reasonable.

Conclusion: conviction and sentence affirmed. No dissents.

AI Brief

The AI summarised the case as Ninth Circuit affirming Boudreau's conviction of attempted enticement and possession of child porn. The issues of probable cause for the search, admissibility of prior evil acts, and sentencing were the main ones it referenced. It concluded that the conviction was affirmed but lacked specificity regarding procedural history, standards of review, or the standard applied to each motion.

Comparison

The AI captured parties, charges, and holding correctly. However, it omitted key nuances: the Franks omission test, Rule 8(a) analysis, and detailed sentencing discussion. Stylistically, the AI was concise and structured but oversimplified. Relying solely on AI risks missing critical precedent, procedural posture, or nuanced reasoning.

Reflection

Comparing my brief with the AI’s taught me that precision is the key difference between human and machine legal work. My brief had a procedural history, cited relevant statutes, and outlined the standards of review. On the other hand, the AI summarised the issues into concise descriptions. Leaving out such information obfuscates the reasoning. This omission could be misleading to a reader regarding why the court reached its conclusion (United States v. Boudreau, 2025). The law requires a scrutiny of the case development and the outcome. This scrutiny demonstrated that AI saves time. However, it is far from a total replacement for the close reading and judgment expected of law students and attorneys. This downside is critical because they must explain their decisions.

Secondly, AI tends to oversimplify complex reasoning. For example, in arguing the suppression motion, the AI addressed the likely cause without reference to the Franks v. Delaware test or opposing precedents of Gourde and Dougherty. These comparisons were critical to the court’s analysis, yet they were omitted in the AI’s version. By omitting these, the AI diminishes the usefulness of the brief for learning or applying the law in future cases. This situation made me realise that a case brief goes beyond a summary. It is an analytical tool that reveals how doctrine interacts with specific facts.

I also learned about the risks of relying too heavily on AI in legal research. It could lead to hallucinated cases, overlook essential standards, or misstate holdings. This process has the danger of eroding credibility in legal writing. However, there is some value in AI as an orientation tool to generate outlines or preliminary summaries. These materials can then be refined by additional research. This exercise demonstrated that law relies on nuance, precision, and interpretation. Unfortunately, AI currently lacks all these capabilities. Therefore, human judgment remains essential for ensuring accuracy, fairness, and professional responsibility in legal analysis.