AI tools are built to respond quickly. You enter details—injury type, treatment timeline, hospital vs. outpatient care, and rough costs—and the tool produces a range.
That can be useful when you’re trying to understand categories of harm, but it can also create a false sense of certainty. In Wellington, many people are juggling real-world constraints that affect proof and timing:
- Treatment may be spread across primary care, specialists, imaging centers, and urgent-care visits.
- Appointments can be delayed due to insurance authorizations or scheduling gaps.
- Work schedules may limit how quickly records are collected or how consistently follow-up care is documented.
A calculator can’t “see” those gaps the way a legal team does. In malpractice claims, missing documentation can be the difference between a case that is strong on liability and one that becomes harder to prove.


