Most AI tools generate a range based on simplified inputs (injury severity, age, and sometimes care needs). That can help you understand which categories usually drive value—like long-term treatment and lifetime assistance.
But in real Calabasas cases, the biggest gaps are often these:
- Neurological findings don’t fit neat categories. Two people with similar diagnoses can have very different functional outcomes depending on imaging results, exam findings, complications, and progress over time.
- Local case timelines matter. California carriers often wait for enough records to evaluate prognosis. If you rely on an AI number before your medical picture stabilizes, your expectations may be off.
- Liability disputes can shift everything. In Southern California, fault issues frequently hinge on evidence quality—photos, witness statements, event data, and accident reconstruction when available. An AI estimate doesn’t know whether fault is likely to be contested.
For most families, the practical value of an AI tool is not the final number—it’s the checklist of what you’ll need to prove.


