AI tools typically work by asking for inputs (symptoms, treatment dates, diagnosis terms) and then producing a range based on patterns.
That sounds helpful, but in real cases—especially those involving commuting injuries or daily-function disruption—settlements usually depend less on the label and more on proof:
- Medical continuity (what was documented and when)
- Functional impact (how symptoms affected work, driving, household responsibilities)
- Causation (whether records connect the accident to ongoing brain-related symptoms)
- Credibility (how consistently symptoms were reported and treated)
In Milpitas, it’s common for the defense to argue that symptoms are “typical stress,” “migraine,” or “unrelated.” A calculator can’t evaluate whether your timeline and records will hold up to California adjuster scrutiny.


