Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2100 2123 2125 2126 2128 2141 2142 2147 2153 2154
This examiner grants 61% of resolved cases
Mariela D. Reyes, an examiner in Tech Center 2100 and Art Unit 2100, has overseen 347 resolved cases. Her allowance rate of 61.1% indicates a moderate level of success for applicants, with a majority of cases resulting in a grant. This rate provides a clear baseline for practitioners to assess the likelihood of a positive outcome when their applications are under her review.
The median days to allowance is 1601, which is a notably long timeframe for the prosecution process. This duration suggests that reaching a grant may require significant time and persistence. The data also shows an interview lift of 23.7%, indicating that the probability of allowance increases substantially when an interview is conducted, offering a way to improve upon the 61.1% baseline rate.
With 347 resolved cases, the 23.7% interview lift is a statistically relevant factor for strategy. The 1601-day median duration is a key consideration for managing client expectations. Practitioners should consider interviews as a means to potentially expedite the process or increase the chances of success in what appears to be a lengthy examination cycle in Art Unit 2100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17660267 | USING MACHINE LEARNING TO PREDICT APPROPRIATE ACTIONS | Final Rejection | Truist Bank |
| 18645573 | METHOD AND SYSTEM FOR DETERMINING LOCAL FAIRNESS OF ML MODEL WITH DEGREE OF FAIRNESS | Non-Final OA | Tata Consultancy Services Limited |
| 18551170 | METHOD FOR SORTING SEARCH RESULTS, ELECTRONIC DEVICE AND STORAGE MEDIUM | Final Rejection | BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD. |
| 17564126 | FEATURE MANAGEMENT FOR MACHINE LEARNING SYSTEM | Non-Final OA | Advanced Micro Devices, Inc. |
| 18012529 | ARTIFICALLY INTELLIGENT MEDICAL PROCEDURE ASSESSMENT AND INTERVENTION SYSTEM | Final Rejection | Purdue Research Foundation |
| 17564695 | MACHINE LEARNING-BASED USER SENTIMENT PREDICTION USING AUDIO AND VIDEO SENTIMENT ANALYSIS | Non-Final OA | Dell Products L.P. |
| 17621616 | ARCHITECTURE, SYSTEM, AND METHOD FOR SIMULATING DYNAMICS BETWEEN EMOTIONAL STATES OR BEHAVIOR FOR A MAMMAL MODEL AND ARTIFICIAL NERVOUS SYSTEM | Final Rejection | Soul Machines Limited |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
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