Perform automatic legal data extraction
Shorten the processing time of legal and accounting documents
The position in the document is accurately determined for 99.4% of the data, and 76% of the data is extracted precisely up to a single character
The speed of legal document processing increased 3 times over
We build a neural network model of the Russian language by training a neural network based on the corpus of the Russian language. After that we train it to work with legal and accounting documents.
We build a neural network model of data search in order to extract information from specific fields of the document.
As the result, we obtain a neural network able to quickly and accurately extract the needed data from the documents.