AI tools typically work like this: you enter injury details, treatment history, and work impact, and the tool returns a projected range.
That can be helpful as a starting point, especially when you’re trying to budget while your claim is pending. However, in Laguna Woods, CA, many injured workers run into the same issue: the estimate doesn’t reflect the specific evidence insurers will focus on under California practice.
Common gaps we see with AI-generated ranges include:
- Missing documentation context (for example, whether your restrictions were consistently supported by treating notes)
- Overlooking procedural posture (whether your claim is accepted, partially disputed, or moving toward formal evaluation)
- Assuming wage loss is straightforward when documentation can be more complicated (shift changes, overtime patterns, and how pay is recorded)
An AI output may look confident—but it generally can’t review your file the way a legal team can.


