AI tools typically work by asking for inputs like injury type, symptoms, treatment history, and limitations. In theory, that can help you organize your story and identify what details are missing.
In real Jamestown cases, though, the biggest problem isn’t the math—it’s the assumptions. For example:
- If your symptoms worsened after the initial ER visit, an AI estimate may underweight your later cognitive and emotional impacts.
- If you received care through multiple providers (primary care, therapy, specialists), an AI model may not “see” the continuity that matters to insurers.
- If winter conditions contributed to the crash or fall (ice, poor visibility, delayed reporting), an AI tool may not account for how fault is argued in practice.
Use AI to build questions—not to treat a suggested range as a settlement promise.


