AI tools are built to “approximate” settlement value from inputs like injury severity, treatment duration, and reported losses. That can give you a rough sense of categories—medical bills, time off work, and non-economic harm.
The problem is that medical negligence cases are rarely won or lost on the injury label alone. They hinge on questions like:
- What exactly was known at the time (symptoms, test results, history, and warnings)
- Whether the care met Texas standards for timely evaluation and follow-up
- How the injury is connected to the medical decision, not just coincident with it
In practice, an AI estimate can become overly optimistic or overly conservative if your answers don’t capture what the medical chart actually shows.


