AI tools generally work like this: they take a few inputs (age, relationship, wages, medical bills) and generate a “likely” figure based on broad patterns.
That approach breaks down when liability and damages depend on details that aren’t captured by a form—details that matter in Ohio cases, including:
- Crash reconstruction and causation (for example, lane position, lighting conditions, road design, and braking distances)
- Medical timeline clarity (the difference between complications after the incident and unrelated deterioration)
- Insurance coverage and policy limits (what coverage actually applies and who the insured parties are)
- Ohio procedural timing (deadlines and how quickly evidence can be obtained)
Instead of treating an AI number as a promise, we use it as a starting point for questions—then we build a case grounded in proof.


