Most AI-style tools work by taking inputs—injury severity, treatment timeline, and loss categories—and producing a rough range. That can be useful as a starting point when you’re trying to understand whether your claim is closer to the low end or the mid range.
But AI estimates typically struggle with the factors that often drive outcomes in Minnesota trucking claims, such as:
- Whether liability is genuinely clear (or disputed by trucking company defenses)
- How your medical records connect your symptoms to the crash
- Whether evidence supports causation when there are gaps in documentation
- How comparative-fault arguments are handled when both drivers contributed to the crash scenario
In other words: an AI number can’t review your crash report, maintenance history, driver logs, or the way Minnesota adjusters evaluate credibility.


