AI tools typically ask for the same kinds of inputs most people can remember under stress:
- the date of injury
- what body part was affected
- what treatment you received (therapy, imaging, surgery)
- whether you missed work
- any work restrictions you were given
Then the tool generates a range based on generalized patterns.
The problem: in Texas workers’ compensation claims, outcomes depend heavily on the actual record—especially the medical documentation and the way your restrictions connect to your ability to work. An AI estimate can’t verify:
- whether your treating doctor’s notes clearly describe functional limits
- whether your wage loss is documented accurately for your pay structure
- whether the claim is accepted, disputed, or delayed for specific legal reasons
When an estimate is wrong, it’s often not because the tool is “bad”—it’s because it can’t see the evidence your insurer will use.


