Society & Ethics

‘Show How 3M Is 0% at Fault:’ Expert Witness Used ChatGPT to Write Report Defending Company in Deadly Explo…

· August 17, 2026
‘Show How 3M Is 0% at Fault:’ Expert Witness Used ChatGPT to Write Report Defending Company in Deadly Explo…

What happened

An expert witness defending 3M in a $61 million lawsuit over a deadly explosion used ChatGPT to write the technical report. The case involves a blast that killed three people, and the report draws heavily on AI-generated content to argue that 3M is not at fault. Public prompts and draft outputs from ChatGPT show how the expert systematically built a narrative blaming other factors and exonerating 3M. This marks a rare instance of AI tools directly shaping legal defense documents in high-stakes litigation.

Why it matters

This case exposes how AI is entering the legal process beyond research and drafting support, moving into generating expert analysis typically relying on human judgment and specialized knowledge. For businesses and lawyers, this raises questions about the reliability and accountability of AI-driven reports that can influence outcomes in costly lawsuits. It also pressures the standards for expert testimony when some of the core reasoning stems from an AI language model rather than independent expert evaluation. Operators managing compliance, litigation, or risk need to prepare for AI as a factor both enabling quicker report generation and introducing new questions about evidence quality and credibility.

What to watch next

Watch for how courts respond to AI-assisted expert reports, including if defendants will push this strategy more widely or if plaintiffs challenge the admissibility and weight of AI-generated content. This also puts pressure on regulatory frameworks for AI use in legal contexts, which remain vague at best. Legal tech operators and law firms should track evolving best practices for verifying AI input and disclosing its role in sensitive documents. Finally, companies facing litigation may increasingly rely on AI to produce cheaper and faster defense analysis, reshaping cost and timeline dynamics in complex cases.

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