Prosecution Insights
Last updated: October 02, 2026

Examiner: BODDEN, EVRAL E

Tech Center 4100 • Art Units: 2192 2193 2197 4100

This examiner grants 73% of resolved cases

Analysis

Evral E. Bodden is a patent examiner in Tech Center 4100, assigned to Art Unit 2192. He has 671 resolved cases, providing a substantial dataset for evaluating his performance. The allowance rate pct for Bodden is 72.6, indicating that a majority of applications result in a patent grant. This 72.6 allowance rate pct suggests a favorable examination environment in Art Unit 2192.

Practitioners should note the interview lift pct of 20.8, which shows that conducting an interview is a highly productive strategy for increasing the chances of allowance. The median days to allowance is 1327, reflecting the typical duration for successful prosecution. Given the 20.8 interview lift pct, direct communication may help resolve issues more effectively than written responses alone. The 1327 median days to allowance and the 671 resolved cases indicate that Bodden follows a consistent timeline for applications in Tech Center 4100, where interviews can play a significant role in securing a positive outcome.

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

Performance Statistics

72.6%
Allow Rate
+12.6% vs TC avg
687
Total Applications
+20.8%
Interview Lift
1327
Avg Prosecution Days
Based on 671 resolved cases, 2023–2026

Rejection Statute Breakdown

13.4%
§101 Eligibility
19.4%
§102 Novelty
54.3%
§103 Obviousness
7.4%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18792395 MULTI-FACTOR CODE REVIEW PRIORITIZATION Non-Final OA Capital One Services, LLC
18657497 SYSTEMS AND METHODS FOR PERSISTED CONTAINER UPGRADES Non-Final OA Microsoft Technology Licensing, LLC
18277702 SYSTEMS AND METHODS FOR FACILITATING AUTHORIZATION OF COMPUTER PROGRAM INSTALLATION IN AN OPEN INDUSTRIAL ECOSYSTEM Final Rejection Siemens Aktiengesellschaft
18795707 STREAMLINING INTEGRATION TESTING USING LARGE LANGUAGE MODELS Non-Final OA SAP SE
16537215 OPTIMIZATION AND UPDATE SYSTEM FOR DEEP LEARNING MODELS Non-Final OA NVIDIA Corporation
18933421 Predicting and Minimizing Quantum Decoherence in Quantum Computer Systems Non-Final OA Red Hat, Inc.
18510332 FAST UPGRADE FOR MULTIPLE EDGE SITES IN A RAN Non-Final OA VMware, LLC

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