Most AI estimators work from pattern-matching. You enter things like:
- date and body part of injury
- treatment you received (PT, imaging, surgery)
- whether you missed work or had wage loss
- what restrictions your doctor gave (and for how long)
When the answers you provide are accurate and your medical timeline is consistent, the estimator may reflect the general range that similar injuries sometimes settle for.
In Heber, that can be especially relevant for injuries tied to:
- physically demanding roles at job sites (loading, lifting, equipment operation)
- seasonal employment schedules where wage records and documentation gaps are more common
- slip-and-fall or trip incidents that get reported quickly—but still end up disputed later about symptom onset
The key is using the estimate to identify missing information—not to treat it like a guarantee.


