AI tools can be helpful for understanding categories of losses, but they often assume facts that don’t hold up in Northern NJ trucking litigation. Common gaps include:
- Local traffic and stop-and-go impact: In Garfield, crashes near busy commuting corridors can involve delayed reaction times, lane positioning disputes, and sudden braking—details that change fault and injury causation.
- Unclear liability across multiple parties: Truck cases frequently involve not just the driver, but also the carrier, dispatch practices, maintenance vendors, and sometimes equipment or cargo-related issues.
- Documentation problems: A calculator can’t tell whether your medical records clearly connect your treatment to the crash or whether insurers will argue gaps, delayed care, or pre-existing conditions.
So while an AI estimate may suggest a range, the value of your claim depends on what can be proven—not what’s guessed.


