AI settlement tools generally work by taking the information you enter—injury type, treatment timing, missed work, and limitations—and comparing it to patterns they’ve seen before. That can make an estimate feel “reasonable,” especially when you just want to understand where things might land.
In Lake Oswego, however, the story behind the numbers matters. Many workplace injuries involve activities and environments that don’t neatly fit generic categories—think repetitive strain from desk/warehouse work, landscaping or maintenance injuries, or incidents tied to driving between job sites. Even if two people report the same body part injury, the outcomes can differ dramatically depending on:
- How your symptoms were documented over time (not just the diagnosis)
- Whether your treating provider issued consistent work restrictions
- Whether the insurer disputes causation or the extent of impairment
- How wage loss is supported in the record
An AI output may not account for those details, and it can unintentionally encourage the wrong next step—like accepting an offer before the record clearly supports permanent restrictions or future treatment.


