Farmington residents work in a mix of manufacturing, logistics, construction, healthcare, and retail environments. Injuries tend to be documented differently depending on the setting—what kind of incident report gets filed, how quickly you were treated, and how clearly your restrictions were described.
AI tools usually work from generalized patterns. That means they may assume things like:
- your medical timeline is complete and consistent,
- your wage loss is easy to verify,
- your treating provider’s restrictions match what you actually can do,
- the insurer won’t contest causation or the seriousness of your impairment.
In real Farmington claims, insurers commonly scrutinize gaps: delayed reporting, incomplete work restriction notes, inconsistent symptom descriptions, or treatment that doesn’t line up neatly with the injury date. When those issues exist, an AI range can look believable—and still be wrong.


