STAN is specially for for the judiciary and supports the administration in digitization through the use of OCR methods (Optical Character Recognition) and the identification of important document information.
STAN uses OCR and NER (Name Entity Recognition) to extract a wide range of information (file numbers, procedural data, parties involved, courts) from legal documents.
NER is based on artificial intelligence from the field of NLP (Natural Language Processing), which recognizes and sorts proper names into predefined categories. This means that file numbers, names and various data can be recognized. Recognized information can be marked in the document and extracted to fill an e-file or XJustice file.
STAN facilitates the organization of file systems, the anonymization of documents and provides decision support for specialist procedures.
This procedure can also be used to mark text modules according to legal provisions and use them for research purposes. This greatly simplifies and improves searching in online libraries.
STAN thus offers the possibility to manage your file system in a digital and organized way and makes a major contribution to the development of a qualified search query in portals.
How does information recognition work with STAN?
Your contact person
Dr. Maria Börner
Business Development AI
