Prosecution Insights
Last updated: October 02, 2026

Examiner: SHELTON, GABRIELLA KANANI

Tech Center 2100 • Art Units: 2100 2113 2114

This examiner grants 74% of resolved cases

Analysis

Gabriella Kanani Shelton is an examiner in Tech Center 2100 and Art Unit 2100. Across 23 resolved cases, the examiner has an allowance rate of 73.9 percent. For those cases that reach allowance, the median days to allowance is 800. This 800 median days figure provides a specific reference point for the duration of successful prosecution.

Interviews are a effective strategy with this examiner. Shelton has an interview lift of 24.6 percent, which boosts the 73.9 percent baseline allowance rate. This 24.6 percent lift suggests that direct communication is a way to overcome initial rejections and secure a grant in Art Unit 2100.

The 23 resolved cases provide a foundation for analyzing the examiner's performance. The 73.9 percent allowance rate and 800 median days to allowance offer a expectation for the prosecution process. The 24.6 percent interview lift is a metric that should guide the tactical decisions of any practitioner assigned to this examiner in Tech Center 2100.

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

Performance Statistics

73.9%
Allow Rate
+18.9% vs TC avg
39
Total Applications
+24.6%
Interview Lift
800
Avg Prosecution Days
Based on 23 resolved cases, 2023–2026

Rejection Statute Breakdown

24.8%
§101 Eligibility
17.8%
§102 Novelty
34.6%
§103 Obviousness
19.6%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
19052555 Resource Failure Mitigation Final Rejection ABB Schweiz AG
18870563 DATA-RECORDING SYSTEM, STORAGE, AND STORAGE CONTROL METHOD Non-Final OA Panasonic Intellectual Property Management Co., Ltd.
18641936 MATCHING MEMORY DUMPS USING MACHINE CODE INSTRUCTIONS Final Rejection International Business Machines Corporation
18610179 INCIDENT REMEDIATION Final Rejection INTERNATIONAL BUSINESS MACHINES CORPORATION
17454838 MACHINE-LEARNING-BASED TECHNIQUES FOR DETERMINING RESPONSE TEAM PREDICTIONS FOR INCIDENT ALERTS IN A COMPLEX PLATFORM Final Rejection ATLASSIAN US, INC.
18800142 METHODS AND SYSTEMS FOR DETERMINING ANOMALY AND FAULT IN OPEN PLATFORM COMMUNICATIONS (OPC) DATA Non-Final OA Honeywell International Inc.
18678596 HOST-LEVEL ERROR DETECTION AND FAULT CORRECTION Non-Final OA ADVANCED MICRO DEVICES, INC.
18882848 DYNAMICALLY CONFIGURED INCIDENT LOG COLLECTION Non-Final OA Dell Products, L.P.
18601183 SELF-HEALING AUTOMATIONS WITH SELF-SERVICE ARCHITECTURE Final Rejection THE BANK OF NEW YORK MELLON

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