Prosecution Insights
Last updated: October 02, 2026

Examiner: BROMELL, ALEXANDRIA Y

Tech Center 2600 • Art Units: 2156 2167 2666

This examiner grants 76% of resolved cases

Analysis

Alexandria Y Bromell is an examiner in Tech Center 2600 and Art Unit 2156. She has 551 resolved cases in her record. The allowance rate for these cases is 75.5 percent. The median days to allowance for applications that are granted is 1294. This data provides a clear picture of the examiner's typical workload and the expected timeline for prosecution.

The interview lift for this examiner is 10.8 percent. This positive lift suggests that interviews are effective at increasing the chances of an allowance. Given the 75.5 percent allowance rate, an interview could be a helpful factor in a successful prosecution. The 1294 days to allowance indicates that while the process may be long, the 10.8 percent lift offers a strong path to a grant. The 551 resolved cases provide a solid foundation for these statistics.

Practitioners should factor the 1294 days to allowance into their planning for cases in Art Unit 2156. The 75.5 percent allowance rate and 10.8 percent interview lift are the primary metrics for evaluating the examiner's tendencies. These statistics offer a reliable basis for developing a prosecution strategy that maximizes the chances of a successful grant. The data reflects a consistent pattern of examiner behavior and receptiveness to interviews.

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

Performance Statistics

75.5%
Allow Rate
+13.5% vs TC avg
568
Total Applications
+10.8%
Interview Lift
1294
Avg Prosecution Days
Based on 551 resolved cases, 2023–2026

Rejection Statute Breakdown

20.6%
§101 Eligibility
33.4%
§102 Novelty
38.1%
§103 Obviousness
3.3%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18471749 SYSTEM AND METHOD FOR TRAINING A MACHINE LEARNING MODEL IN A DISTRIBUTED SYSTEM Final Rejection Kabushiki Kaisha Toshiba
18371475 FEDERATED LEARNING WITH FOUNDATION MODEL DISTILLATION Final Rejection Robert Bosch GmbH
19204047 MEDIUMS, METHODS, AND SYSTEMS FOR CLASSIFYING COLUMNS OF A DATA STORE BASED ON CHARACTER LEVEL LABELING Non-Final OA Capital One Services, LLC
18605279 CONTEXT-BASED INITIATION OF GENERATIVE MACHINE LEARNING ACTIONS Non-Final OA Microsoft Technology Licensing, LLC
19207943 DATABASE AS A SERVICE ON CLOUD Non-Final OA Nutanix, Inc.

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