Belmont cases often involve facts that are hard for a generic tool to “model,” such as:
- Multi-car crashes and unclear fault on busy corridors and interchanges
- Commercial vehicles and their insurance coverage structure
- Pedestrian or bicyclist incidents where causation can be disputed
- Crashes near major commuting routes where speed, distraction, and signal timing are contested
An AI tool typically relies on the limited details you type in. If key facts are missing—like who had the duty to act, what the scene evidence shows, or whether medical records support causation—any number it returns is more guesswork than guidance.


