AI tools are often designed to take your inputs—injury type, treatment history, symptom duration—and generate a rough range. In real life, that can help you organize questions like:
- Which medical records matter most for a concussion claim?
- What categories of damages are typically discussed (past medical, wage loss, ongoing treatment)?
- What details are missing from your file?
But in a Texas settlement, the number isn’t determined by an algorithm. Insurance companies evaluate evidence quality and credibility: emergency documentation, follow-up consistency, imaging when available, provider notes, and how symptoms affected work and daily functioning.
If you’re using AI to “predict your settlement,” the biggest risk is treating a generic output as if it were proof. In traumatic brain injury matters, evidence and causation usually carry more weight than the injury label itself.


