Most AI-based calculators use simplified categories—injury severity, treatment length, bills, and sometimes non-economic impacts—to generate a rough range. That can be useful when you’re trying to understand where damages typically come from.
But in real Mentor-area cases, the “missing pieces” are often the difference between a low and a meaningful demand. AI tools generally can’t reliably capture:
- Causation details (whether the negligence—not something else—caused the harm)
- Timeline precision (when symptoms started, when they should have been recognized, and what was documented)
- Ohio-focused evidence needs (what must be supported by records and expert review)
- Special proof for follow-up and continuity of care (common in outpatient and specialty settings)
If your situation involves delayed recognition, inadequate follow-up, or missed warning signs, the records matter more than the injury label. An AI range may feel confident—yet still be based on assumptions that don’t match your chart.


