Prosecution Insights
Last updated: October 02, 2026

Examiner: GALVIN-SIEBENALER, PAUL MICHAEL

Tech Center 2100 • Art Units: 2147

This examiner grants 27% of resolved cases

Analysis

Examiner Paul Michael Galvin-Siebenaler operates within Art Unit 2147 of Tech Center 2100, where he has managed 11 resolved cases. His allowance rate currently stands at 27.3 percent, indicating a challenging path to grant for applications in this specific queue. Practitioners should note that the median days to allowance is 1412, suggesting a prolonged prosecution timeline for successful filings. This duration reflects the time required to navigate the examiner's requirements in Art Unit 2147.

Conducting an interview appears to be a highly effective strategy for this examiner, as evidenced by an interview lift of 27.8 percent. This significant increase in the likelihood of allowance following a personal discussion provides a clear tactical recommendation for overcoming initial rejections. Given the limited volume of 11 resolved cases, these metrics reflect a specific subset of outcomes within the examiner's broader portfolio. The 27.3 percent allowance rate and the 27.8 percent interview lift together suggest that while the baseline for success is low, proactive communication is a vital tool. Navigating the 1412-day median pendency requires patience and a focused approach to resolving examiner concerns.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

27.3%
Allow Rate
-27.7% vs TC avg
48
Total Applications
+27.8%
Interview Lift
1412
Avg Prosecution Days
Based on 11 resolved cases, 2023–2026

Rejection Statute Breakdown

26.5%
§101 Eligibility
11.5%
§102 Novelty
49.5%
§103 Obviousness
12.5%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18667147 NEURAL NETWORK STRUCTURE PROPOSAL DEVICE AND NEURAL NETWORK STRUCTURE PROPOSAL METHOD Non-Final OA NEC Corporation
17902632 METHOD AND SYSTEM FOR SPLITTING AND BIT-WIDTH ASSIGNMENT OF DEEP LEARNING MODELS FOR INFERENCE ON DISTRIBUTED SYSTEMS Non-Final OA HUAWEI TECHNOLOGIES CO., LTD.
17916225 METHODS AND SYSTEMS TO TRAIN ARTIFICIAL INTELLIGENCE MODULES Non-Final OA Orange
17650669 DETECTING ROBUSTNESS OF MACHINE LEARNING MODELS IN CLINICAL WORKFLOWS Non-Final OA SIEMENS HEALTHINEERS AG
17985150 CONTROL DEVICE FOR PREDICTING A DATA POINT FROM A PREDICTOR AND A METHOD THEREOF Non-Final OA SIGNIFY HOLDING B.V.
17723831 MANAGING A REQUEST RATE OF A SHARED RESOURCE WITH A DISTRIBUTED LEDGER Non-Final OA Oracle International Corporation
18683948 COMPONENTS DEVIATION DETERMINATIONS Non-Final OA Hewlett-Packard Development Company, L.P.
18203888 GROUP RECOMMENDATION BASED ON TOPIC CLUSTERING Final Rejection Microsoft Technology Licensing, LLC
18325790 PERFORMING DYNAMIC SPARSE COMPUTATION ON DENSE COMPUTATION-EFFICIENT COMPUTING DEVICES Final Rejection Microsoft Technology Licensing, LLC
18077730 SYNTHETIC CLASSIFICATION DATASETS BY OPTIMAL TRANSPORT INTERPOLATION Non-Final OA Microsoft Technology Licensing, LLC
18125553 SPIKE NEURAL NETWORK CIRCUIT Non-Final OA Electronics and Telecommunications Research Institute
18612073 ADAPTIVE PROMPT VIRTUALIZATION Non-Final OA International Business Machines Corporation
17540660 PRIVACY-PRESERVING CLASS LABEL STANDARDIZATION IN FEDERATED LEARNING SETTINGS Final Rejection International Business Machines Corporation
17493652 HUMAN ROBOT COLLABORATION FOR FLEXIBLE AND ADAPTIVE ROBOT LEARNING Final Rejection Hitachi, Ltd.
18618655 SYSTEM AND METHOD FOR REQUIREMENTS RECOGNITION FOR SYSTEM-ON-A-CHIP VERIFICATION Non-Final OA SK hynix Inc.
18098378 MACHINE LEARNING BASED SYSTEM FOR PREDICTIVE GENERATION OF DATA PUDDLES Final Rejection BANK OF AMERICA CORPORATION
17530626 COMPUTER SYSTEM FOR PROFILING NEURAL FIRING DATA AND EXTRACTING CONTENT, AND METHOD THEREOF Final Rejection Korea Advanced Institute of Science and Technology
17232771 INHERITED MACHINE LEARNING MODEL Final Rejection AT&T Intellectual Property I, L.P.
18088766 MACHINE LEARNING DATA GENERATION DEVICE, MACHINE LEARNING MODEL GENERATION METHOD, AND STORAGE MEDIUM Non-Final OA Kabushiki Kaisha Yaskawa Denki

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