Halisok's Work Claim splitter application is used by law firms specialising in work claim dispute resolution. It can split work claims of unlimited size into 17 different documents types encompassing clinical records, forms, notices, email and more.
Users can upload work claims to the application which are then digitalised, passed through OCR, cleaned and finally split into their constituent documents using machine learning models. Up to 90% of the original document by page count is successfully extracted leaving only 10% requiring manual intervention by the user.
Our model has been trained to extract a variety of different documents types:
Easily access all extracted files, apply relevant filters, sort by document type, view document contents and download as pdf.
For difficult document types which cannot be extracted with machine learning alone, the platform allows the user to provide inputs and guidance to improve the extraction results.