AI tools often generate a number by matching your answers to patterns from other cases. That can feel useful—especially when you’re dealing with lost income, treatment costs, and uncertainty.
In the Lynden area, the problem is that local claim files often include details that a generic tool can’t properly weigh, such as:
- How soon symptoms were documented after the incident (delays can trigger credibility and causation questions)
- Whether your treating clinician tied restrictions to the work event clearly enough for negotiations
- Wage loss complexity, including shift patterns and irregular overtime common in many regional industries
- Work capacity conflicts, where your restrictions may not align with what the insurer believes you could still do
The result: an AI estimate can be directionally wrong—not because you entered the wrong data, but because the tool can’t access the evidence that actually matters in Washington workers’ comp disputes.


