C&C analyzes contracts and classifies each sentence, or "element." It identifies parties and the obligations and rights assigned to each, and labels elements with contractual clauses, such as payment terms, warranties, liabilities, and more. The output of element classification is available for direction consumption by the next step in the process.
C&C identifies and extracts complex tables and provides structured output. The advanced table understanding capabilities associates each cell with row and column header information and provides an output that is easily consumable by spreadsheets or relational tables.
C&C's Compare API analyzes two contracts, side-by-side, and highlights similarities and differences at the level of individual clauses. Even with differing verbiage, C&C's semantic capabilities enable alignment of matching clauses across the two contracts. This enables detection of non-standard language and risky clauses.
Document Visualizer/Feedback Collection
Learning from feedback is a critical component of AI. Document visualizer and the Feedback API enable SMEs without machine learning expertise to provide suggestions to improve the model. Occasionally, C&C users might encounter errors or unexpected results. The Document Visualizer and the Feedback API enable SMEs without machine learning expertise to send suggestions to our data science teams. We use the feedback from our community to continuously improve our models.
C&C ingests documents in multiple formats such as scanned PDF, TIFF, JPG, and Word and converts them to HTML to be rendered in a browser for visual consumption or as an intermediate step for advanced natural language processing.
C&C finds and extracts important information in invoices such as buyer, supplier, invoice date and amount owed. This feature is available in limited preview. Please fill this form to request access : ibm.biz/invoices