In theory, an AI tool takes incident details and returns a range. In practice, two Maryland Heights cases can look similar online and still end with very different outcomes.
Common reasons AI estimates miss the mark include:
- Wound severity and follow-up care: A bite that initially looks minor can require additional treatment once swelling, infection risk, or deeper tissue damage is identified.
- Liability disputes that show up in Missouri: Insurers may argue the dog was under control, the owner lacked notice of aggression, or the bite wasn’t caused by their negligence.
- Documentation gaps: If medical records in your case don’t clearly describe what happened, adjusters often push back on the size of the damages.
Instead of treating an AI range as the number you’ll receive, use it as a starting point for what questions to ask and what records to gather.


