AI tools typically work like a pattern-matcher: you enter details about your injury, treatment, and work impact, and the tool returns a rough range based on how similar claims are often resolved.
That can feel helpful—especially if you’re waiting for medical updates or you’ve received a lowball offer. The problem is that Redding claim files often turn on details AI can’t reliably “see,” such as:
- Whether the incident was documented consistently from the start (especially if multiple parties were involved on a job site)
- How clearly your doctor connected work duties to your diagnosis under California standards
- Whether treatment notes support your functional limits (not just your complaints)
- What the insurer believes about maximum medical improvement (MMI) and permanent impairment
In other words, two people with “the same injury” can end up with very different outcomes depending on how the evidence is built.


