A language model's knowledge is stored in its weights, the numeric parameters fixed during training. That training ends at a cutoff date, and only text present before that cutoff shaped the weights. Documents written after the cutoff, or kept private inside an organization, were never part of training, so the model has no representation of them at all.
How AI Answers Questions About Documents It Never Learned