Tech Center 2100 • Art Units: 2156 2161 2167
This examiner grants 82% of resolved cases
Lauren Zannah Ganger is an examiner in Tech Center 2100 and Art Unit 2156. Ganger has handled 276 resolved cases, with an allowance rate of 81.9 percent. This 81.9 percent allowance rate indicates a high probability of success for applications assigned to this docket. The 276 resolved cases provide a strong statistical basis for these performance metrics.
The data shows an interview lift of 11.9 percent. This 11.9 percent lift suggests that conducting an interview with the examiner is associated with a higher likelihood of allowance compared to cases without an interview. Even with an 81.9 percent allowance rate, the 11.9 percent lift indicates that direct communication remains a useful tool for resolving issues. Practitioners in Art Unit 2156 should consider the value of an interview in the context of this examiner's overall efficiency.
The median time to allowance is 962 days. This 962 day period is the typical duration from filing to patent issuance. This 962 day median suggests a standard prosecution cycle. Applicants can use this metric to forecast their pendency and plan their intellectual property strategy accordingly.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18916424 | SYSTEMS AND METHODS FOR PROVIDING CURATED DATASETS ACCORDING TO DATA FROM DISPARATE DATA SOURCES | Final Rejection | Wells Fargo Bank, N.A. |
| 18734488 | SYSTEMS AND METHODS FOR PROVIDING CURATED DATASETS ACCORDING TO DATA FROM DISPARATE DATA SOURCES | Final Rejection | Wells Fargo Bank, N.A. |
| 19275123 | METHODS AND SYSTEMS FOR EXPLAINABLE TEMPLATE RETRIEVAL FOR OPTIMIZATION MODELING | Non-Final OA | Huawei Cloud Computing Technologies Co., Ltd. |
| 18946846 | INLINE MATERIALIZATION OF DATABASE PAGES IN POSTGRESQL-COMPATIBLE SYSTEMS | Final Rejection | Oracle International Corporation |
| 19076157 | MEMORY MANAGEMENT DEVICE AND MEMORY MANAGEMENT METHOD | Final Rejection | MEDIATEK INC. |
| 19067122 | CONTEXTUALIZATION OF VERSION CONTROL REQUESTS UTILIZING NATURAL LANGUAGE PROCESSING FOR AI BASED INFUSION | Final Rejection | International Business Machines Corporation |
| 19012864 | TRAINING A MACHINE LEARNED MODEL TO DETERMINE RELEVANCE OF ITEMS TO A QUERY USING DIFFERENT SETS OF TRAINING DATA FROM A COMMON DOMAIN | Non-Final OA | Maplebear Inc. |
| 19246091 | UTILIZING SECONDARY DATA FORMATS FOR QUERY FUNCTION OPTIMIZATION VIA A NODE OF A PARALLELIZED DATABASE SYSTEM | Final Rejection | Ocient Holdings LLC |
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