AI tools typically work like this: you enter a few inputs (diagnosis, treatment, symptoms), and the system outputs a range.
The problem is that an AI model can’t reliably account for the Chattanooga facts that insurance companies fight hardest over, such as:
- How the incident happened (rear-end traffic, lane changes, sudden braking, crosswalk conflicts)
- Whether there’s an objective medical record supporting the TBI diagnosis
- Whether your symptom timeline matches the incident (and how your care was documented)
- Whether your functional limits were observable to others (family, supervisors, coworkers)
In other words: the “range” might reflect averages, but your settlement or verdict depends on how well your file tells a credible, medically supported story.


