TARGETED DOCUMENT ASSIGNMENTS IN AN ELECTRONIC DISCOVERY SYSTEM

• US 20100250541A1
• Filed: 03/24/2010
• Published: 09/30/2010
• Est. Priority Date: 03/27/2009
• Status: Abandoned Application

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Clark, Benjamin, Knox, Jeffrey V., Andersen, David M., Mayer, Michael J., Richards, Phillip L., Miller, Emerson D.
• Application Number:
  US12/730,821
• Publication Number:
  US 20100250541A1
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/325 Hash tables
• CPC Class Codes: G06F 16/35 Clustering; Classification
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/18 Legal services

Abstract

Embodiments of the invention relate to systems, methods, and computer program products for improved electronic discovery. More specifically, embodiments relate to computer program products for targeted document review assignments by determining concept-related data groupings within the overall corpus of data associated with a case and assembling the targeted document review assignments based on the concept-related data groupings. As such, document reviewers are presented with assignments that have highly conceptually-related documents, which results in further efficiency in the review process.

Claims

1. A method for determining targeted document review assignments in an electronic discovery system, the method comprising:

receiving, at a computing device, a plurality of predetermined concepts included within a corpus of electronic data associated with a case in the electronic discovery system;

determining, via a computing device processor, a plurality of data groupings for the corpus of electronic data, wherein each of the data groupings are defined by inclusion of at least one of the predetermined concepts; and

generating, via a computing device processor, a plurality of document review assignments based on the determined data groupings.

2. The method of claim 1, wherein receiving further comprises receiving, at the computing device a plurality of predetermined concepts, wherein the predetermined concepts are further defined as a final search term set.

3. The method of claim 1, wherein determining further comprises implementing, via the computing device processor, conceptual clustering techniques to determine the plurality of data groupings for the corpus of electronic data.

4. The method of claim 1, wherein generating further comprises generating, via the computing device processor, the plurality of document review assignments, wherein each of assignments includes at least a portion of one of the plurality of data groupings.

5. The method of claim 1, wherein generating further comprises, generating, via the computing device, the plurality of document review assignments, wherein each of the assignments include one or more of the plurality of data groupings.

6. The method of claim 1, further comprising assigning, at a computing device, one or more of the plurality of document review assignments to each of a plurality of document reviewers, wherein the assigning is based on associated data groupings within the document review assignments.

7. The method of claim 6, wherein assigning further comprises assigning, at the computing device, one or more of the plurality of document review assignments to each of a plurality of document reviewers, such that two or more document review assignments that include a portion of a same grouping are assigned to a same document reviewer.

8. The method of claim 1, wherein generating further comprises generating, at the computing device, the document review assignments wherein each assignment includes at least approximately 2,000 documents.

9. An apparatus for determining targeted document review assignments in an electronic discovery system, the apparatus comprising:

a computing platform including a memory and a processor;

a targeted document review assignment application stored in the memory, executable by the processor and including a

a concept-based data grouping mechanism configured to receive a plurality of predetermined concepts and determine a plurality of data groupings for a corpus of electronic data, wherein each of the data groupings are defined by inclusion of at least one of the predetermined concepts in the data grouping, and

a document review assignment generator configured to generate a plurality of document review assignments based on the determined data groupings.

10. The apparatus of claim 9, wherein the concept-based data grouping mechanism is further configured to receive a plurality of predetermined concepts, wherein the predetermined concepts are further defined as a final search term set.

11. The apparatus of claim 9, wherein the concept-based data grouping mechanism is further configured to implement conceptual clustering techniques to determine the plurality of data groupings for the corpus of electronic data.

12. The apparatus of claim 9, wherein the document review assignment generator is further configured to generate the plurality of document review assignments, wherein each of assignments includes at least a portion of one of the plurality of data groupings.

13. The apparatus of claim 9, wherein the document review assignment generator is further configured to generate the plurality of document review assignments, wherein each of the assignments include one or more of the plurality of data groupings.

14. The apparatus of claim 9, wherein the targeted document review assignment application further includes a targeted document review assignor configured to assign one or more of the plurality of document review assignments to each of a plurality of document reviewers, wherein the assignment is based on associated data groupings within the document review assignments.

15. The apparatus of claim 14, wherein the targeted document review assignor is further configured to assign the one or more of the plurality of document review assignments to each of the plurality of document reviewers, such that two or more document review assignments that include a portion of a same segment are assigned to a same document reviewer.

16. The apparatus of claim 9, wherein the document review assignment generator is further configured to generate the document review assignments wherein each assignment includes at least approximately 2,000 documents.

17. A computer program product comprising:

a computer-readable medium comprising;

a first set of codes for causing a computer to receive a plurality of predetermined concepts included within a corpus of electronic data associated with a case in the electronic discovery system;

a second set of codes for causing a computer to determine a plurality of data groupings for the corpus of electronic data, wherein each of the data groupings are defined by inclusion of at least one of the predetermined concepts in the data grouping; and

a third set of codes for causing a computer to generate a plurality of document review assignments based on the determined data groupings.

18. The computer program product of claim 17, wherein the first set of codes is further configured to cause the computer to receive a plurality of predetermined concepts, wherein the predetermined concepts are further defined as a final search term set.

19. The computer program product of claim 17, wherein the second set of codes is further configured to cause the computer to implement conceptual clustering techniques to determine the plurality of data groupings for the corpus of electronic data.

20. The computer program product of claim 17, wherein the third set of codes is further configured to cause the computer to generate the plurality of document review assignments, wherein each of assignments includes at least a portion of one of the plurality of data groupings.

21. The computer program product of claim 17, wherein the third set of codes is further configured to cause the computer to generate the plurality of document review assignments, wherein each of the assignments include one or more of the plurality of data groupings.

22. The computer program product of claim 17, further comprising a fourth set of codes for causing a computer to assign one or more of the plurality of document review assignments to each of a plurality of document reviewers, wherein the assigning is based on associated data groupings within the document review assignments.

23. The computer program product of claim 22, wherein the fourth set of codes is further configured to cause the computer to assign one or more of the plurality of document review assignments to each of a plurality of document reviewers, such that two or more document review assignments that include a portion of a same segment are assigned to a same document reviewer.

24. The computer program product of claim 17, wherein the second set of codes is further configured to cause the computer to generate the document review assignments wherein each assignment includes at least approximately 2,000 documents.