AI tools typically work by taking your inputs (injury type, dates, body part, treatment, time off work) and comparing them to generalized patterns. That can be helpful as a starting point, but it often misses Ohio-specific realities that change outcomes.
For example, in practice, Ohio workers’ comp disputes often hinge on:
- Whether medical evidence supports causation (work incident → injury)
- When maximum medical improvement (MMI) is reached and what impairment is documented
- How clearly restrictions are tied to work capacity (especially if you’re asked to return to modified duties)
- Whether wage loss is supported with reliable payroll documentation
If your AI estimate doesn’t account for those record-based issues, it can look “reasonable” while still being off—sometimes by a lot.


