Most AI tools work by taking a few inputs—age, relationship, wages, and incident details—and then generating a projected range. That can feel helpful, but in Columbus cases, small factual differences often drive big changes.
For example, in the real world:
- Ohio fault disputes can shift valuation fast when police findings, witness accounts, or vehicle data aren’t consistent.
- Causation questions matter—especially when a death occurs days or weeks after an incident.
- Insurance strategy can differ from “average outcomes,” particularly when coverage issues or policy limits come into play.
An AI estimate can’t review dashcam footage, speak with witnesses, interpret medical causation, or evaluate whether the facts support the legal theories needed for recovery.


