AI tools are built to work from inputs: injury severity, treatment length, and general categories of losses. The problem is that Hilliard cases often hinge on details that are harder to “type in”:
- Ohio comparative fault disputes: Insurers may argue you share blame—like when a driver’s lane choice, speed, or attention is questioned during a merge.
- Timing of your medical documentation: If treatment starts later, or symptoms evolve, causation becomes a key fight.
- Proof of the trucking operation’s role: Many claims involve not only the driver, but also maintenance, policies, and loading/inspection practices.
An AI estimate can’t evaluate whether your situation will be challenged on fault, causation, or the credibility of the injury timeline.


