An AI “calculator” is usually built to work from simplified inputs: injury label, symptoms, treatment length, and a few life-impact factors. In real TBI cases, those inputs are rarely complete.
In Fairview, adjusters frequently scrutinize:
- Commute-related crash documentation (what the police report says, whether witnesses were available, and whether reports were filed promptly)
- Symptom timing (did headaches, dizziness, or concentration problems show up immediately, or later?)
- Treatment continuity (whether follow-up care happened and whether it was consistent)
- Functional impact evidence (how symptoms affected driving, attention, work duties, or household responsibilities)
AI tools can’t reliably evaluate these case-specific proof gaps. They may output a number that feels concrete—even when the underlying assumptions don’t reflect what Texas insurers actually demand.


