AI tools typically estimate based on inputs like injury severity and medical treatment totals. The problem is that trucking cases are rarely “clean” the way a form suggests.
In West Richland, residents commonly drive along corridors tied to regional commuting and industrial activity. That matters because the evidence in these cases often turns on details like:
- What the truck driver could see and when (line of sight, turning angles, lane positioning)
- Whether braking time and stopping distance were adequate for road conditions
- Whether the crash happened during routine commuting traffic or during higher-risk periods (after-work travel, shift changes, weather-driven visibility issues)
- How quickly you received follow-up care and how consistently symptoms were documented
An AI estimate can’t verify those specifics. It also can’t weigh Washington’s practical realities—such as how insurers argue causation, how documentation is scrutinized, and how comparative fault arguments may be raised.


