International Journal of Computer Science & Engineering Survey (IJCSES) Vol.2, No.1, Feb 2011 DOI : 10.5121/ijcses.2011.2103 39              Kolikipogu Ramakrishna 1 , Vanitha Guda 2 , Dr.B.Padmaja Rani 3 , Vinaya Ch 4 1 Department of Computer Science & Engineering, CMRCET, Hyderabad, A.P, India krkrishna.csit@gmail.com 2,4 Department of Computer Science & Engineering, CBIT, Hyderabad, A.P, India vanithaguda@gmail.com,vinayachakati@gmail.com 3 Department of Computer Science & Engineering, COE, JNTU, Hyderabad, A.P, India padmaja_jntuh@yahoo.co.in ABSTRACT Information Retrieval is in a nascent stage to provide any type of information queried by naïve user. Question Answering System is one such successful area of Information retrieval. Legal Documents (case law, statute or transactional document) are increasing day by day with the new applications (Mobile transactions, Medical Diagnosis reports, law cases etc.) in the world. Documentation of various Business and Human Resource (HR) applications involve Legal documents. Analysis and temporal reasoning of such documents is a demanding area of research. In this paper we build a novel model for timed event extraction and temporal reasoning in legal text documents. This paper mainly works on “how one can do further reasoning with the extracted temporal information”. Exploring temporal information in legal text documents is an important task to support legal practitioner lawyer, in order to determine temporal based context decisions. Legal documents are available in different natural languages; hence it uses NLP System for pre-processing steps, Temporal constraint structure for temporal expressions, associated tagger, Post-Processor with a knowledge-based sub system helps in discovering implicit information. The resultant information resolves temporal expressions and deals with issues such as granularity, vagueness, and a reasoning mechanism which models the temporal constraint satisfaction network. KEYWORDS Event; Time; Temporal reasoning; legal documents; temporal tagger; temporal Constraint network; 1. INTRODUCTION Temporal information is most ubiquitous in legal text documents to make some important conclusions in the context of decision making. Reasoning of temporal information is upcoming research area; there is lot of scope to enhance it to the down levels of Specific Events Extraction with temporal reasoning in legal text documents. The legal documents are increasing day to day including criminal laws, commercial laws, labour laws, transactional documents etc. in to the huge repositories. For instance ordering and linking of information in legal text documents with temporal relation has become essential in all the public and private sectors. It is difficult to provide computational adequacy for the temporal information in automatic extraction, representation and reasoning in the legal text. Temporal representation and reasoning theories are drawn from many domains like philosophy, computer science, linguistics and cognitive science. Temporal logics and ontologies have been implemented in many systems with different expressive power and computational complexity. Apart from the temporal reasoning plan Recognition [5] is also essential in this context. Question Answering systems, Text Summarization, Medical diagnostic reports, determining consistency satisfaction between all temporal variables, deducing new relations (computing their closure). Temporal extraction and