Attorneys using generative AI can borrow a familiar litigation skill: Evaluate AI-generated output the way they would evaluate an opposing expert witness opinion under Federal Rule of Evidence 702. An expert witness cannot simply “waltz into the courtroom and render opinions” without adequate foundation. Clark v. Takata Corp., 192 F.3d 750, 759 n.5 (7th Cir. 1999). Nor can an expert bridge the gap between data and conclusion with nothing more than ipse dixit — the expert’s own say-so. Gen. Elec. Co. v. Joiner, 522 U.S. 136, 146 (1997).
Rule 702 imposes that discipline directly. It requires expert testimony to be “based on sufficient facts or data,” be “the product of reliable principles and methods,” and reflect “a reliable application of the principles and methods to the facts of the case.” So, when an opposing expert offers an opinion, a litigator’s instinct is not to accept it but to probe its basis and reliability.
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