AI tools are usually built to respond to common inputs: diagnosis, date of injury, whether you missed work, and the general nature of treatment.
The problem is that Florida workers’ compensation outcomes often turn on record-specific issues that aren’t reliably captured by a calculator, such as:
- Consistency between the incident story and the medical timeline (for example, whether symptoms were documented promptly after the event)
- Whether work restrictions were documented by your treating provider in a way the insurer can’t easily minimize
- Whether the insurer disputes causation (common when symptoms could be attributed to other sources—especially in claims involving physically demanding roles)
- Whether you reached maximum medical improvement (MMI) and what impairment is supported by clinical findings
An AI “range” can be a starting point, but it can also create false confidence—leading someone to accept a low offer before the insurer’s arguments are fully understood.


