AI tools typically generate an “educated range” by taking the facts you enter—injury severity, treatment timeline, medical bills, and sometimes reported symptoms—and then applying simplified compensation assumptions.
That can be useful in Woonsocket because many people start with limited information: they may have billing totals, discharge paperwork, and a timeline of visits, but not yet a complete picture of causation (what actually caused the harm) or long-term impact.
However, the biggest limitation is also the most important for real cases: AI generally can’t interpret the medical reasoning inside the chart.
In practice, two cases with similar injuries can produce very different outcomes depending on whether the provider’s actions fell below the accepted standard of care and whether the medical evidence supports that the negligence caused the worsening condition.


