C&C “reads” contracts to identify the necessary information and actions, on a sentence by sentence level. JSON outputs show what the contract says, who it matters to, and what part of the agreement it impacts.
C&C table processing identifies the location and context of tables in PDFs and processes the elements and attributes inside them, giving users greater access to the goldmine of important information that tables contain.
C&C’s APIs can take two similar contracts and find the slight differences that can pose large risks.
Document Visualizer/Feedback Collection
To improve the core Natural Language Processing model behind Element Classification, the Beta tile includes a feedback collection tool for clients to provide corrections and labeling suggestions. The tool also offers a GUI, allowing SMEs to easily navigate parsed documents and create valuable use cases from the outputs of C&C engines.
Optical Character Recognition
To support a more robust selection of documents, this Beta release also enables scanned PDF processing.