1. A processor implemented method for identifying risk, comprising: receiving information associated with at least one risk for identifying at least one predetermined indicator of risk-relevant information, wherein based on the identifying, the received information is processed to redact redundant information; analyzing, by a processor, the received information to determine relevancy of the information with regard to the at least one risk; tagging, by the processor, the information with at least one risk-relevancy tag based on the determination of the relevancy of the information with regard to the at least one risk; processing the tagged information to remove redundant information and information not deemed to be relevant to the at least one risk, thereby creating the risk-relevant information; parsing, by the processor, the risk-relevant information into a plurality of portions categorized by the at least one risk-relevancy tag; determining, by the processor, a risk-relevancy metric of each of the plurality of portions, wherein the at least one risk-relevancy tag identifies the risk-relevancy metric associated with a relevant portion of the information with respect to the at least one risk, the risk-relevancy metric indicating a likelihood that the relevant portion of the information is relevant to the at least one risk; storing the risk-relevant information in a data storage structure, wherein the data storage structure includes a plurality of areas that are interrelated to facilitate the identification of the at least one risk; and outputting the risk-relevant information stored in the data storage structure to a risk identification graphical user interface.