Think of an AI tool as a question organizer, not a decision-maker. A typical AI-based estimate may ask for details like your diagnosis, treatment timeline, and reported symptoms, then spit out a rough range.
That can be helpful when you don’t know what to gather next—such as records showing cognitive impairment, follow-up neurology visits, or documentation of ongoing limitations.
But AI outputs often fail in the same places Henderson claims usually hinge on:
- whether the injury is supported by contemporaneous medical documentation (not just later recollections)
- whether symptoms were consistent with the incident timeline
- how well objective testing and provider notes explain cognitive or emotional changes
- how insurers frame causation when pre-existing migraines, stress, or other conditions may be alleged
In other words: an AI range can’t replace a Kentucky-focused evaluation of liability, causation, damages, and proof.


