Most AI-based tools estimate claim value by asking questions about injuries, treatment, and financial losses, then applying generalized ranges.
That can be useful when you need a rough starting point—especially if you’re trying to understand what “economic” vs. “non-economic” losses might mean for your situation.
However, Seattle-area truck cases commonly hinge on details that AI tools can’t reliably read from a few form fields, such as:
- Whether the crash occurred in a school zone, work zone, or near a transit corridor—facts that can shape fault arguments.
- Whether multiple vehicles or pedestrians were involved, making liability more complex than a typical two-car wreck.
- Whether safety technology or event data exists (for example, recordings from certain commercial systems) and what it shows.
- How Washington comparative fault is used—even a small dispute about responsibility can change settlement leverage.
A calculator may produce a figure. Your case, though, is driven by proof.


