Many AI tools estimate potential damages by using categories like medical bills, future care, lost income, and non-economic harm. That’s useful in theory—but it often breaks down in real cases where key facts are missing.
In Somerset, common situations that affect case valuation include:
- ER-to-outpatient gaps: A patient may be discharged with instructions, then worsening symptoms lead to a return visit days later. If the first visit’s findings weren’t acted on appropriately, the timeline becomes central.
- Delayed follow-up: A missed referral, scheduling delays, or unclear discharge instructions can change how quickly a condition is treated.
- Travel-related complications: Some injuries or symptom worsening may occur while a patient is commuting for work or attending family obligations—creating complicated documentation about when symptoms started and what care was sought.
If an online tool doesn’t account for these specifics, it may understate (or overstate) damages because it can’t verify causation, standard-of-care issues, or how the medical record actually supports the story.


