An AI-based TBI settlement estimator is typically built to take inputs like:
- where the injury happened (car crash, fall, workplace incident)
- symptoms reported and when they began
- treatment history (ER visit, follow-ups, therapy)
- basic work impact (missed time, job changes)
It may output a rough range for damages categories such as medical costs, lost earnings, and non-economic impacts.
But in Oregon, WI, insurers don’t decide claims based on a chatbot’s logic. They decide based on:
- medical documentation that links the event to ongoing neurological symptoms
- consistency between your reports, treatment notes, and functional limitations
- liability evidence (police reports, witness accounts, photos, employer incident documentation)
- how Wisconsin handles comparative responsibility when fault is disputed
So think of AI as a starting checklist, not a valuation.


