AI tools typically work by taking inputs—diagnosis, treatment timeline, symptom categories—and returning a rough range. The problem is that TBI cases are evidence-driven in ways that a generic model can’t fully capture.
In practical terms, insurers often scrutinize:
- Consistency between the accident date and symptom timeline (especially when symptoms evolve over days)
- Treatment continuity (missed appointments, delayed follow-up, or stops without explanation)
- Functional impact—how your brain injury affects work, driving comfort, household responsibilities, and daily decision-making
- Preexisting conditions and alternative explanations that get raised during claims handling
An AI estimate may be useful to organize questions, but it usually can’t account for what New Mexico adjusters and defense attorneys look for when they’re deciding whether your story is medically supported.


