Most AI settlement tools work by taking your answers and running them through patterns—similar claims, typical damage categories, and statistical ranges. The problem is that settlements are not only about diagnosis; they’re about proof.
In University Park, insurers commonly scrutinize:
- Crash/incident documentation (what police reports say, lane/traffic details, signals, and witness accounts)
- Symptom timeline (what changed right after the event vs. what was reported later)
- Medical consistency (whether follow-up care tracks the symptoms you describe)
- Functional impact (how symptoms affect driving, work performance, and daily responsibilities)
An AI tool may generate a range, but it can’t reliably measure the strength of your evidence from a Texas perspective. That’s why AI output is best treated as a checklist—not a settlement promise.


