Technologies and implementations for training a predictive intelligence associated with electronic discovery (e-discovery) are generally disclosed.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for training a predictive intelligence associated with electronic discovery (e-discovery), the method comprising: receiving an electronic information index; receiving criteria to train the predictive intelligence; searching a portion of the received electronic information index applicable to the trained predictive intelligence; verifying the trained predictive intelligence using the searched portion; determining if the verification of the trained predictive intelligence meets a particular accuracy threshold; and applying the trained predictive intelligence to the received electronic information index upon determining that the verification meets the particular accuracy threshold. 2. The method of claim 1 further comprising: identifying relevant documents; and locking the relevant documents. 3. The method of claim 1 further comprising: receiving further criteria to further train the trained predictive intelligence; and applying the further trained predictive intelligence to the received electronic information index. 4. The method of claim 1, wherein receiving the electronic information index comprises receiving an electronic information index of electronically stored information (ESI) included in an electronic information infrastructure of an organization in situ. 5. The method of claim 1, wherein receiving the electronic information index comprises receiving the indexed electronic information via a bot. 6. The method of claim 1, wherein receiving the criteria comprises receiving criteria related to information being responsive to an e-discovery process. 7. A machine readable non-transitory medium having stored therein instructions that, when executed by one or more processors, operatively enable a predictive intelligence training module to: receive an electronic information index; receive criteria to train a predictive intelligence; search a portion of the received electronic information index applicable to the trained predictive intelligence; verify the trained predictive intelligence using the searched portion; determine if the verification of the trained predictive intelligence meets a particular accuracy threshold; and apply the trained predictive intelligence to the received electronic information index upon determining that the verification meets the particular accuracy threshold. 8. The machine readable non-transitory medium of claim 7, wherein the stored instructions that operatively enable the predictive intelligence training module further comprise instructions that, when executed by one or more processors, operatively enable the predictive intelligence training module to: identify relevant documents; and lock the relevant documents. 9. The machine readable non-transitory medium of claim 7, wherein the stored instructions that operatively enable the predictive intelligence training module further comprise instructions that, when executed by one or more processors, operatively enable the predictive intelligence training module to: receive further criteria to further train the trained predictive intelligence; and apply the further trained predictive intelligence to the received electronic information index. 10. The machine readable non-transitory medium of claim 7, wherein the stored instructions that operatively enable the predictive intelligence training module to receive an electronic information index include instructions that, when executed by one or more processors, operatively enable the predictive intelligence training module to: receive an electronic information index of electronically stored information (ESI) included in an electronic information infrastructure of an organization in situ. 11. The machine readable non-transitory medium of claim 7, wherein receiving the electronic information index comprises receiving the electronic information index via a bot. 12. The machine readable non-transitory medium of claim 7, wherein receiving the criteria comprises receiving criteria related to information being responsive to an e-discovery process. 13. A system for training a predictive intelligence associated with electronic discovery (e-discovery) comprising: a processor; and a predictive intelligence training module communicatively coupled to the processor, the predictive intelligence training module including a machine readable non-transitory medium having stored therein instructions that, when executed by processor, operatively enable the predictive intelligence training module to: receive an electronic information index; receive criteria to train a predictive intelligence; search a portion of the received electronic information index applicable to the trained predictive intelligence; verify the trained predictive intelligence using the searched portion; determine if the verification of the trained predictive intelligence meets a particular accuracy threshold; and apply the trained predictive intelligence to the received electronic information index upon determining that the verification meets the particular accuracy threshold. 14. The system of claim 13, wherein the stored instructions that operatively enable the predictive intelligence training module further comprise instructions that, when executed by the processor, operatively enable the predictive intelligence training module to: identify relevant documents; and lock the relevant documents. 15. The system of claim 13, wherein the stored instructions that operatively enable the predictive intelligence training module further comprise instructions that, when executed by the processor, operatively enable the predictive intelligence training module to: receive further criteria to further train the trained predictive intelligence; and apply the further trained predictive intelligence to the received electronic information index. 16. The system of claim 13, wherein the stored instructions that operatively enable the predictive intelligence training module to receive an electronic information index include instructions that, when executed by the processor, operatively enable the predictive intelligence training module to: receive an electronic information index of electronically stored information (ESI) included in an electronic information infrastructure of an organization in situ. 17. The system of claim 13, wherein receiving the electronic information index comprises receiving the electronic information index via a bot. 18. The system of claim 13, wherein receiving the criteria comprises receiving criteria related to information being responsive to an e-discovery process.