Most AI-style tools work by taking inputs—such as injury severity, treatment length, and loss categories—and producing a rough range. That can be useful for setting expectations about the types of damages that might be involved.
Where these tools commonly fall short in New London, CT is that they can’t account for the evidence that drives value in real trucking claims, such as:
- How fault is supported by crash reports, witness statements, and video from nearby intersections or businesses
- Whether the trucking company’s records (maintenance logs, driver documentation, safety policy compliance) align with the crash narrative
- How your medical timeline matches the mechanism of injury—especially when symptoms evolve after the initial shock
So while an AI tool can help you understand categories of loss, it can’t replace the legal work needed to connect those losses to the specific crash.


