AI tools often work from simplified inputs: injury level, age, and a few assumptions about care. That can be useful for understanding general categories of damages—but it usually misses the details that matter in Heath-area claims:
- Causation gaps (symptoms that appear after the initial emergency visit, or when imaging is interpreted differently)
- Functional testing gaps (how your mobility, transfers, bowel/bladder function, and daily living capacity are actually measured)
- Documentation timing (what’s recorded right after the incident versus what gets described weeks later)
- Ohio insurance negotiation realities (adjusters may push for early resolutions before the future care picture is clear)
In other words, an AI estimate may reflect “average” outcomes, while your claim must reflect your medical timeline and your documented limitations.


