Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2100 2113 2114
This examiner grants 89% of resolved cases
Michael C. Maskulinski has resolved 768 cases in Art Unit 2100, achieving an allowance rate of 89.2%. The median days to allowance for these cases is 911. This high allowance rate indicates a favorable disposition toward granting patents in Tech Center 2100. The data shows an interview lift of 9.2%, suggesting that interviews are effective in resolving issues. With 768 resolved cases, the 89.2% rate is a well-supported metric.
The 911-day median provides a realistic timeframe for applicants to reach a final resolution. This 9.2% lift can be used to further improve the already high 89.2% baseline. Practitioners should consider the 911-day timeline when planning their prosecution strategy. In Art Unit 2100, the examiner appears to be efficient and open to direct communication. The 768 cases provide a robust statistical foundation for these conclusions.
In Tech Center 2100, the 89.2% allowance rate is a dominant factor in strategy. The 9.2% interview lift is a useful tool for overcoming any remaining rejections. Applicants can rely on the 911-day median as a benchmark for pendency. This profile suggests a consistent and predictable path to allowance under Michael C. Maskulinski.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 19010780 | ELECTRONIC DEVICE SUPPORTING OUT-OF-BAND COMMUNICATION, AND METHOD OF OPERATING THE SAME | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18739586 | FAULT DETECTION METHOD FOR NON-VOLATILE MEMORY AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM | Final Rejection | SAMSUNG ELECTRONICS CO., LTD. |
| 19195110 | DATA PIPELINE VALIDATION | Non-Final OA | Wells Fargo Bank, N.A. |
| 19214218 | Optimizing Storage Device Utilization Based on Background Operations | Non-Final OA | PURE STORAGE, INC. |
| 18217245 | METHOD AND APPARATUS TO PROACTIVELY SCREEN HARDWARE ERRORS OF A COMPUTER PROCESSING SYSTEM | Non-Final OA | Intel Corporation |
| 18762186 | METHOD AND SYSTEM OF LEARNING-BASED PROBLEM MANAGEMENT FOR INFORMATION TECHNOLOGY (IT) OPERATIONS | Non-Final OA | Tata Consultancy Services Limited |
| 18643718 | SYSTEM AND METHOD FOR DYNAMICALLY PERFORMING RESOURCE UPGRADES BASED ON DETERMINING CHANGE WINDOWS VIA A GENERATIVE ARTIFICIAL INTELLIGENCE ENGINE | Non-Final OA | BANK OF AMERICA CORPORATION |
| 19232343 | Mobile Device Management Agent Rollback Systems and Methods | Non-Final OA | Esper.io, Inc. |
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