1. A computer-implemented method of analyzing data in a local network to determine relevance to a topic, the method comprising: deploying one or more data retrieval modules to interface with one or more data sources within the local network, wherein the one or more data retrieval modules comprise executable program code; executing the one or more data retrieval modules to perform operations comprising: accessing application data representing data stored or communicated through the one or more data sources; converting the application data into a normalized format; and forwarding the normalized application data for analysis; and analyzing the forwarded application data to determine whether it is relevant to the topic, wherein the analyzing is performed by one or more devices within the local network, the analyzing comprising: calculating one or more relevancy scores for the forwarded application data; classifying as relevant forwarded application data having scores above a first threshold; classifying as non-relevant forwarded application data having scores below a second threshold, wherein the second threshold is lower than the first threshold; classifying as review-pending forwarded application data having scores between the first threshold and the second threshold; forwarding the review-pending forwarded application data to one or more analysts; receiving input from the one or more analysts as to whether at least a portion of the forwarded review-pending application data is relevant; and modifying one or more automated algorithms used for determining relevance based on the input from the one or more analysts.