In many Hayden cases, the issue isn’t that “AI caused” a complication in a simple way. It’s that AI-related systems can affect the paper trail, the information clinicians relied on, and whether the team caught and corrected problems in time.
For example, families often ask us to review documents where there are:
- Automated summaries that compress what the surgical team actually did
- Imaging or report language that doesn’t match later findings
- Unclear references to decision-support tools used during planning or review
- Chart entries that read like they were generated and never fully verified
Those details matter because insurance companies frequently argue that outcomes were “known risks.” A careful legal review looks for whether the standard of care was met—especially in the steps where technology input should have been validated.


