SYSTEM AND METHOD FOR QUICKLY DETERMINING A SUBSET OF IRRELEVANT DATA FROM LARGE DATA CONTENT

• US 20110145269A1
• Filed: 12/09/2010
• Published: 06/16/2011
• Est. Priority Date: 12/09/2009
• Status: Abandoned Application

• Current Assignee: Renew Data Corporation (LDiscovery LLC)
• Original Assignee: Renew Data Corporation (LDiscovery LLC)
• Inventors: O'Brien, Mary K., Kraftsow, Andrew P.
• Application Number:
  US12/964,704
• Publication Number:
  US 20110145269A1
• Time in Patent Office: Days
• US Class Current: 707/766
• CPC Class Codes: G06F 16/3338 Query expansion
• CPC Class Codes: G06F 16/3346 using probabilistic model

Abstract

The present invention is directed to a system and method for quickly searching for all irrelevant data items in a data set based on a logical expression of an issue of interest to a user, which describes what the user is searching for. By performing this search, the size of data set that the system needs to search to find relevant documents is significantly reduced. The system is also configured to identify terms that are being used in possibly inconsistent ways with their normally accepted means so that code words can be uncovered. Additionally, the system is configured to search for Trade Terms that are not contained in any Dictionaries. In some embodiments, the system and method of the present invention utilize advanced automated search techniques including highlighting capability and use of query terms for determining subsets of relevant or irrelevant content data (in paper or electronic form).

Claims

1. A method for reviewing document data to isolate irrelevant data, the method utilizing a computer system including a computer processor and at least one or more memories with stored data in electronic form relating to a collection documents, the method comprising the steps of:

utilizing the computer processor to run a search of a first subset of document data, the search configured to utilize at least one or more query terms relating to an issue defined by a user of the computer system,

subsequently utilizing the computer processor to create a Boolean query utilizing the plurality of query terms and to automatically create a Boolean query by applying certain criteria to refine the search, and

isolating a second subset of document data that is irrelevant to the Boolean query in order to permit the user to discard the irrelevant document data before continuing a further search.