AI tools typically generate a range based on generalized patterns: diagnosis category, time off work, and broad assumptions about treatment. That can be a starting point—but it often misses the details that Washington claims adjusters focus on.
In Ferndale, common situations that can throw off an AI estimate include:
- Competing stories about how the injury happened (especially when incident reports are delayed or written vaguely)
- Treatment that’s inconsistent because you were trying to get back to work around a commute schedule or changing job duties
- Wage loss that doesn’t match what a tool assumes, such as overtime, rotating shifts, or pay impacted by reduced hours
- Functional limits that don’t line up with what the job actually required, particularly for physically demanding roles in industrial settings
AI can’t “see” your claim file. It can’t confirm whether the medical record supports work restrictions, whether the insurer is disputing causation, or whether your case is approaching key milestones that change negotiation leverage.


