AI tools usually work by asking for a few inputs (injury type, medical bills, days off work) and then generating a range. That range can be a helpful starting point—especially for understanding categories of damages.
However, a computer can’t review the real evidence that New York insurers focus on, including:
- Crash documentation from the incident report and scene details
- Medical causation (whether your doctors connect your symptoms to the crash)
- Treatment consistency (whether care followed a logical timeline)
- Comparative fault arguments (insurers may argue you were partly responsible)
- Federal trucking compliance records (logs, policies, maintenance records)
In other words, an AI estimate may predict a “typical” outcome, but it can’t measure how your specific proof will hold up in negotiation—especially when a commercial trucking claim gets handled like a higher-stakes case than a standard passenger car wreck.


