AI tools typically work by taking the details you type in—injury type, body part, treatment dates, and wage information—and mapping them to patterns from other cases.
The issue is that Springboro claims frequently involve additional “real life” facts that don’t fit neat categories, such as:
- injuries that worsen after an initial return-to-work attempt (common in physically demanding roles)
- treatment gaps caused by scheduling delays or disputes over authorized care
- wage questions when hours changed, overtime varied, or job duties shifted
When those details aren’t captured accurately, an AI range may look reasonable while still missing the factors that control settlement leverage in Ohio.


