AI tools typically work by comparing your inputs to broad patterns. In practice, that can leave out details that matter a lot in Ohio—especially when the injury affects your ability to commute, perform shift-based work, or meet physical demands tied to your job.
Common reasons AI estimates can come in low (or simply wrong) include:
- Job-specific restrictions aren’t clearly documented (for example, limitations that should impact lifting, standing, or repetitive work).
- Medical records don’t connect symptoms to work in a way the insurer can’t easily challenge.
- Gaps in treatment or inconsistent symptom reporting give adjusters an opening to argue improvement or non-work causes.
- Wage loss assumptions don’t reflect how your work schedule actually affected earnings.
If you’re using an AI estimate as a starting point, treat it as a prompt to ask: What in my file supports the value—and what is missing?


