AI tools usually start with a simplified idea: enter your injury type, treatment, and work loss, and get a range based on patterns from other cases.
In Chino, that approach can fall short because many claims hinge on details that a tool can’t reliably “see,” such as:
- Whether your medical restrictions align with your real job duties (common in industrial and logistics work where tasks change day-to-day).
- How consistently you reported symptoms and limitations during the early weeks after injury.
- Whether the paperwork supports wage impact when schedules include overtime, shift changes, or variable hours.
- Whether the insurer disputes causation—for example, when there’s a history of similar issues or when the injury mechanism is questioned.
AI may output a number that feels confident. The problem is that California workers’ comp value is driven by what the file can prove—not what a generalized model predicts.


