Turning Up the Heat: AI and the Future of Expert Witnesses
There’s no doubt that artificial intelligence is transforming nearly every industry. As a forensic meteorologist, I’m beginning to see firsthand how AI in forensic meteorology is changing the way expert opinions are analyzed, challenged, and defended. And it’s turning up the heat on expert witnesses.
AI is putting sophisticated research and analytical tools into the hands of individuals who previously would have needed specialized education, training, or countless hours of research to access the same information. In the world of forensic meteorology, it’s turning non-meteorologists into formidable cross-examiners, armed with questions and challenges they might never have thought to ask.
Within minutes, someone can use AI to analyze lengthy expert reports, compare conflicting opinions, identify potential weaknesses in methodologies, locate relevant scientific literature, and develop pointed questions for cross-examination. While these individuals may lack a meteorologist’s technical background, AI can help bridge that knowledge gap, sometimes with surprisingly effective results.
AI in Forensic Meteorology: A New Level of Scrutiny
Consider a recent experience of mine. I frequently work with public adjusters and insurance professionals who retain me as a meteorological expert in weather-related insurance disputes. In one case, my client, a general contractor turned public adjuster, used AI to analyze an opposing meteorologist’s approximately 100-page report, compare it with my findings, and develop a list of technical questions and challenges.
What followed was an unusually rigorous exchange. My client posed detailed scientific and methodological questions that I would never have anticipated from someone without formal meteorological or legal training. The opposing meteorologist handled the questions reasonably well, but it was clear that the level of scrutiny had intensified. AI had effectively given my client a new set of tools to challenge expert testimony.
Of course, AI is not infallible. It can misinterpret scientific concepts, misrepresent research, and generate critiques that sound compelling but lack scientific merit. Nevertheless, its ability to rapidly synthesize information and identify potential vulnerabilities in an expert’s analysis should not be underestimated.
As AI becomes increasingly integrated into our profession, the expectations placed on expert witnesses will only grow. Our methodologies, assumptions, interpretations, and conclusions will face more sophisticated scrutiny, often from individuals who are not subject-matter experts themselves.
For forensic meteorologists, the takeaway is clear: A defensible opinion requires more than credentials and experience. It demands sound methodology, a thorough understanding of the underlying science, and the ability to clearly explain and defend every conclusion.
AI may be changing who asks the questions, but it doesn’t change what makes an expert opinion credible: scientific rigor, sound judgment, and evidence that can withstand scrutiny.
Susie Martin
Board-certified Meteorologist & Forensic Weather Expert
