Invention Grant
- Patent Title: Machine learning model for predicting litigation risk in correspondence and identifying severity levels
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Application No.: US17307163Application Date: 2021-05-04
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Publication No.: US11615361B2Publication Date: 2023-03-28
- Inventor: Ria Nag , Padmakumar Nambiar , Karthik Venkatasubramanian , Suvendu Praharaj
- Applicant: ORACLE INTERNATIONAL CORPORATION
- Applicant Address: US CA Redwood Shores
- Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee: ORACLE INTERNATIONAL CORPORATION
- Current Assignee Address: US CA Redwood Shores
- Agency: Kraguljac Law Group, LLC
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06Q10/10 ; G06N20/20 ; G06F16/33 ; G06F40/30 ; G06Q10/0635

Abstract:
Systems, methods, and other embodiments associated with detecting severity levels of risk in an electronic correspondence are described. In one embodiment, a method includes inputting, into a memory, a target electronic correspondence that has been classified as being litigious by a machine learning classifier. An artificial intelligence rule-based technique is applied to the target electronic correspondence that identifies high and medium risk level keywords. The technique is also configured to generate a litigious score based on a sum of term frequencies-inverse document frequencies using the remaining keywords. An electronic notice is transmitted to a remote computer over a communication network that identifies the target electronic correspondence and the level of litigation risk.
Public/Granted literature
- US20210256436A1 MACHINE LEARNING MODEL FOR PREDICTING LITIGATION RISK IN CORRESPONDENCE AND IDENTIFYING SEVERITY LEVELS Public/Granted day:2021-08-19
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