AI tools generally work by asking for basic inputs (injury type, severity, age, and sometimes income) and then projecting a “range.” That can be helpful for understanding what categories of damages exist—but it can miss key realities that adjust settlement value in real cases.
For example, insurers often scrutinize:
- How quickly symptoms were documented after the incident
- Whether medical findings consistently connect the crash/workplace event to the neurological injury
- The functional impact (transfers, mobility, bowel/bladder management, skin risk, medication needs)
- Whether your prognosis supports the level of long-term care you’re claiming
If your documentation is incomplete or inconsistent, an AI number may look “reasonable” yet still not match what a claim can actually prove.


