AI tools often work off patterns—diagnosis categories, timeframes, and generalized wage-loss assumptions. The problem is that Indiana claims tend to hinge on details that are hard to capture in a form.
In Bedford, common mismatch areas include:
- Shift-based wage loss: If you work rotating schedules, overtime, or weekend hours, your income impact may not look the same as a calculator’s standard wage assumptions.
- Documentation gaps: In real life, people delay appointments, switch providers, or return to lighter duties before restrictions are fully documented.
- Functional limits vs. diagnoses: Two injuries can share the same diagnosis, but settlement value often tracks restrictions (what you can’t do at work) and how consistently they’re recorded.
If the estimate doesn’t reflect those realities, it can be low—or misleadingly high.


