Abstract: A system for determining hierarchical relationship in batches of documents is disclosed. A data collection module receives one or more batches structured and unstructured documents. A metadata configuration module defines the plurality of metadata fields, enabling structured metadata extraction. The metadata extraction module identifies and extracts metadata attributes using an artificial intelligence model or extraction techniques. A first level verification module classifies documents as parent or child based on extracted attributes. A reviewer module allows specialists to manually validate classifications. A rule defining module enables user-defined match-up rules for parent-child and peer-to-peer relationships. A second level verification module refines classification using contextual analysis and generates structured data including the metadata attribute and the corresponding plurality of metadata fields, the parent-child relationship and the peer-to-peer.

Abstract: A system to facilitate quality checks on a plurality of attributes is disclosed. The system includes a processing subsystem including a screening module to filter at least one document from documents. The processing subsystem includes a data extraction module to extract attributes from the at least one document. The processing subsystem includes a quality checking module to highlight the attributes extracted in a user interface associated with quality checking levels. The quality checking module is to modify at least one of the attributes associated with a first level based on a first level user response. The quality checking module is to assign at least one tag and at least one colour to each of the attributes. The quality checking module is to display the attributes in the user interface associated with a second level to validate the plurality of attributes based on a second level user response.