Prosecution Insights
Last updated: October 02, 2026

Examiner: COLEMAN, PAUL

Tech Center 4100 • Art Units: 2126 4100

This examiner grants 65% of resolved cases

Analysis

Paul Coleman is an examiner in Tech Center 4100 and Art Unit 2126. He has 26 resolved cases and an allowance rate of 65.4 percent. This rate indicates the likelihood of success for applicants. The median days to allowance is 1357, which is the duration for the prosecution process.

The interview lift is 47.4 percent. This lift suggests that interviews are productive for this examiner, although the 26 resolved cases make this a preliminary trend. In Tech Center 4100, the 47.4 percent lift can enhance the 65.4 percent allowance rate.

With 26 resolved cases, the statistics are based on the current sample size. The 65.4 percent allowance rate and the 1357 days median to allowance provide a view of the examiner's tendencies. The 47.4 percent interview lift suggests that practitioners should consider interviews in Art Unit 2126. The combination of these metrics defines the current prosecution landscape for this examiner.

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

Performance Statistics

65.4%
Allow Rate
+5.4% vs TC avg
39
Total Applications
+47.4%
Interview Lift
1357
Avg Prosecution Days
Based on 26 resolved cases, 2023–2026

Rejection Statute Breakdown

31.3%
§101 Eligibility
4.2%
§102 Novelty
47.0%
§103 Obviousness
16.9%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18451509 SPATIO-TEMPORAL INTELLIGENT DIGITAL MEMORY SYSTEMS AND METHODS Final Rejection University of Florida Research Foundation, Incorporated
18750655 ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE Non-Final OA Samsung Electronics Co., Ltd.
18663656 MODEL TRAINING METHOD AND COMMUNICATION APPARATUS Non-Final OA HUAWEI TECHNOLOGIES CO., LTD.
18355243 Systems and Methods for Machine-Learned Models Having Convolution and Attention Final Rejection Google LLC
17564373 PROCESSING SEQUENCES OF MULTI-MODAL ENTITY FEATURES USING CONVOLUTIONAL NEURAL NETWORKS Non-Final OA Fidelity Information Services, LLC
18414451 DETECTION AND REMEDIATION OF INSTABILITIES IN LARGE LANGUAGE MODELS Non-Final OA Intuit Inc.
18496496 DOMAIN-SPECIFIC PROMPT PROCESSING AND ANSWERING VIA LARGE LANGUAGE MODELS AND ARTIFICIAL INTELLIGENCE PLANNERS Non-Final OA Intuit, Inc.
18707970 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM Non-Final OA NTT, Inc.
18090944 SYSTEMS AND METHODS FOR ON-DEVICE TRAINING MACHINE LEARNING MODELS Non-Final OA The ADT Security Corporation

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