11. A method for extracting text in a legal document for preparation of headnotes, the method comprising: detecting one or more predetermined features in each sentence of the legal document, wherein the one or more predetermined features are based on grammatical constituents of text in the legal document; computing occurrence of the detected one or more predetermined features in each sentence of the legal document; assigning a score to each predetermined feature detected in each sentence by referring to feature graphs corresponding to each predetermined feature, wherein the feature graphs are retrieved from a repository; combining the assigned score in each sentence to obtain a final headnote score for each sentence; comparing the final headnote score with a predetermined threshold; tagging text in each sentence as headnote and non headnote based on the comparison; and rendering the legal document with text tagged as headnote on a user interface.
11. A method for extracting text in a legal document for preparation of headnotes, the method comprising: detecting one or more predetermined features in each sentence of the legal document, wherein the one or more predetermined features are based on grammatical constituents of text in the legal document; computing occurrence of the detected one or more predetermined features in each sentence of the legal document; assigning a score to each predetermined feature detected in each sentence by referring to feature graphs corresponding to each predetermined feature, wherein the feature graphs are retrieved from a repository; combining the assigned score in each sentence to obtain a final headnote score for each sentence; comparing the final headnote score with a predetermined threshold; tagging text in each sentence as headnote and non headnote based on the comparison; and rendering the legal document with text tagged as headnote on a user interface. 14. The method of claim 11 , wherein detecting the one or more predetermined features in each sentence of the legal document comprises detecting the one or more predetermined features in each sentence of the legal document by referring to lexical, syntactic and semantic information stored in a knowledge repository.