Extensive network interconnectivity, cheap storage, and big data processing have all provided organizations with the ability to access, save, search and analyze massive collections of data and documents. And this data is growing rapidly at an increasing rate. Much of this data is in the form of text (documents, emails, tweets, text, etc.). To leverage these vast document stores, analysts must be able to sift through these mountains of documents to find only the most relevant text for their requirements. This paper provides an overview of the many powerful search capabilities provided by state-of-the-art document search engines and proposes additional search functionalities to improve the power of document filtering and search retrieval accuracy.