AI tools typically ask you to enter injury details (severity, treatment length, bills, and symptoms). Then they produce a range based on simplified assumptions.
That can be useful when you’re trying to understand the types of damages that might be discussed with an insurer. It’s also a way to organize questions for your attorney.
However, AI estimates often fail to capture issues that commonly control outcome in real Southern California medical cases, including:
- Delayed follow-up after a visit or test—especially when referrals, imaging results, or “return precautions” aren’t handled correctly.
- Documentation gaps that affect causation (for example, missing notes, incomplete discharge instructions, or inconsistent timelines).
- Medication and monitoring problems where the record must show what should have been checked and when.
- Functional impact that matters locally for everyday life—how injuries change mobility, ability to work shifts, or the need for ongoing care.
In other words: an AI output can be a conversation starter, not a case value.


