AI tools typically take inputs like the type of injury, how long recovery lasted, and the amount of medical bills. They then produce an educational range that can make the situation feel more concrete.
But Lilburn residents often run into a reality the tools can’t fully model: the medical records in real cases are rarely “clean.” Symptoms may evolve while you’re trying to keep up with work and appointments across the metro area. Providers may document differently across visits. Billing may reflect multiple phases of care—some related, some disputed.
That’s why an AI number can be misleading if it assumes:
- the injury timeline is stable and fully documented from day one,
- causation is straightforward,
- and all losses are easily traceable to the medical error.
A good legal review focuses on what the chart actually supports.


