Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2113 2114 2137
This examiner grants 84% of resolved cases
Elmira Mehrmanesh is a patent examiner in Tech Center 2100, working within Art Unit 2113. The examiner has 749 resolved cases and an allowance rate of 83.8 percent. This 83.8 percent rate reflects the proportion of applications that reach a grant. For the 749 cases handled, this data provides a basis for understanding the probability of success during the examination process. The volume of resolved cases reflects the examiner's experience within Tech Center 2100.
The median days to allowance for this examiner is 986. This 986-day timeline represents the duration for an application to move from filing to a grant. Applicants should consider this period when planning their patent strategy and resource allocation. The volume of 749 resolved cases suggests that this duration is a consistent aspect of the examiner's workflow in Art Unit 2113. This median provides a specific metric for evaluating the expected length of prosecution.
The data shows an interview lift of 6.8 percent. This 6.8 percent lift represents the change in the likelihood of allowance when an interview is conducted. It suggests that direct communication is a method for addressing the probability of a grant. For practitioners, utilizing an interview is an option to navigate the prosecution process and achieve a positive outcome. Practitioners can use this lift to evaluate the potential benefits of direct engagement.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18479739 | STORAGE DEVICE PREDICTING FAILURE USING MACHINE LEARNING AND METHOD OF OPERATING THE SAME | Non-Final OA | Samsung Electronics Co., Ltd. |
| 18660592 | REDUCING THE AMOUNT OF ANOMALY DETECTION NOISE IN A DISTRIBUTED COMPUTING ENVIRONMENT | Final Rejection | MICROSOFT TECHNOLOGY LICENSING, LLC |
| 18659385 | SYSTEM AND METHOD FOR DATABASE SYSTEM ANOMALY DETECTION AND INCIDENT MANAGEMENT | Final Rejection | Salesforce, Inc. |
| 19061598 | MESSAGE CALL REQUEST DATA HAVING ERROR FREQUENCY METRICS | Non-Final OA | ADP, Inc. |
| 17653541 | MACHINE LEARNING CLASSIFICATION OF OBJECT STORE WORKLOADS | Final Rejection | NetApp, Inc. |
| 18085254 | EVENT-DRIVEN USER-BASED PRIMARY DEVICE FAILOVER SELECTION | Non-Final OA | T-MOBILE INNOVATIONS LLC |
| 18347658 | High frequency event-based hardware diagnostics | Final Rejection | MELLANOX TECHNOLOGIES, LTD. |
| 18345664 | AUTOMATIC PRIORITIZATION AND/OR FAILOVER FOR ANALYTICS DEVICES | Non-Final OA | The ADT Security Corporation |
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