Legal documents can cover sheets upon sheets of information. It is not only enough to pull text from these documents but assign keywords or entities to this information such as names of plaintiffs, defendants, attorneys, and judges as well as addresses, etc. Automated document parsing can do this with a high level of accuracy. Text extraction uses OCR or optical character recognition. It also uses AI and NLP models to build custom algorithms that are domain-specific to increase the accuracy of document parsing.