1. A computer implemented method for identifying previously processed case-based documents similar to a new case-based document, the method comprising: receiving the new case-based document having at least one static attribute and at least one dynamic attribute, wherein the at least one static attribute is common to a plurality of previously processed case-based documents, and wherein the at least one dynamic attribute is specific to the new case-based document; selecting a domain for the new case-based document based at least in part on a user input, wherein in the selected domain, a plurality of static domain attributes and a plurality of dynamic domain attributes are structured in different sets based on their occurrence and relevance to the selected domain; receiving one or more static attributes specific to the selected domain of the new case-based document; comparing the one or more static attribute of the new case-based document with corresponding static attributes of the plurality of previously processed case-based documents; obtaining a sub-set of case-based documents from amongst the plurality of previously processed case-based documents based on the comparison of the one or more static attribute, wherein the sub-set of case-based documents represent a group of documents similar to the new case-based document with respect to the one or more static attribute; receiving one or more dynamic attributes relevant to the new case-based document from amongst a plurality of dynamic attributes of the obtained sub-set of case-based documents, wherein the receiving comprises determining the one or more dynamic attributes by combining the plurality of dynamic attributes of the obtained sub-set of case-based documents when the plurality of dynamic attributes of the obtained sub-set of case-based documents are not relevant to the new case-based document; comparing the one or more dynamic attribute of the new case-based document with corresponding dynamic attribute of the sub-set of case-based documents; and identifying presence of at least one previously processed case-based document from the sub-set of case-based documents based on the comparison of the one or more dynamic attributes, wherein the at least one previously processed case-based document is a document similar to the new case based document with respect to the one or more dynamic attribute.
6. The method as claimed in claim 1 , wherein the obtaining comprises: identifying at least one unanswered static attributes from amongst the at least one static attribute of the new case-based document and the plurality of previously processed case-based documents; and computing a static similarity score corresponding to each of the plurality of previously processed case-based documents based at least on a mismatch option associated with the new case-based document.