Prosecution Insights
Last updated: October 01, 2026

Examiner: EGLOFF, PETER RICHARD

Tech Center 3700 • Art Units: 3714 3715 3792

This examiner grants 43% of resolved cases

Analysis

Peter Richard Egloff examines applications in Tech Center 3700 and Art Unit 3714. He has 797 resolved cases with an allowance rate of 43.0%. This 43.0% rate suggests a more challenging environment for applicants. The median days to allowance is 1220, which provides a timeline for the 797 resolved cases in this art unit.

The interview lift is 32.4%. This 32.4% lift indicates that interviews are a highly effective tool for increasing the likelihood of allowance. In Art Unit 3714, the 43.0% allowance rate and the 1220 median days to allowance provide a clear framework for expectations. The 32.4% lift is a key factor for practitioners to consider.

With 797 resolved cases, the data for Tech Center 3700 is well-defined. The 43.0% allowance rate and the 1220-day median timeline suggest a consistent approach by the examiner. The 32.4% interview lift highlights the value of direct communication. These metrics offer a solid basis for planning a prosecution strategy that leverages interviews to achieve a positive outcome.

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

Performance Statistics

43.2%
Allow Rate
-26.8% vs TC avg
827
Total Applications
+32.2%
Interview Lift
1220
Avg Prosecution Days
Based on 799 resolved cases, 2023–2026

Rejection Statute Breakdown

28.9%
§101 Eligibility
14.6%
§102 Novelty
40.2%
§103 Obviousness
14.2%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18680734 METHOD FOR ASSISTING A TRAINEE DURING A PILOT TRAINING ON A PILOT TRAINING SIMULATOR, DATA PROCESSING APPARATUS, A PILOT TRAINING SIMULATOR AND A COMPUTER PROGRAM Final Rejection Airbus SAS
18125992 HYGIENE SYSTEM Non-Final OA Kohler Co.
18666742 AUTO-INJECTOR AND RELATED METHODS OF USE Non-Final OA Regeneron Pharmaceuticals, Inc.
19026911 SPORTS TRAINING SYSTEM WITH EMBODIED AND DETACHED AUGMENTED REALITY VISUALIZATION Final Rejection Purdue Research Foundation

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