Prosecution Insights
Last updated: October 02, 2026

Examiner: SERROU, ABDELALI

Tech Center 2600 • Art Units: 2626 2655 2658 2659

This examiner grants 74% of resolved cases

Analysis

Abdelali Serrou is an examiner in Tech Center 2600 and Art Unit 2626, with 598 resolved cases. The allowance rate is 74.2%, which is favorable for applicants. The data also reveals a substantial interview lift of 29.8%, indicating that verbal communication is a highly effective tool for securing a grant.

The median days to allowance is 1254, which suggests a longer-than-average wait for a final decision. However, the 74.2% allowance rate and the 29.8% lift from interviews provide a strong incentive for applicants to remain engaged. For the 598 cases handled, the strategy should clearly prioritize interviews to maximize the chances of success and potentially mitigate the 1254-day median timeline. The 29.8% lift is a key differentiator for this examiner in Art Unit 2626.

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

Performance Statistics

74.2%
Allow Rate
+12.2% vs TC avg
620
Total Applications
+29.8%
Interview Lift
1254
Avg Prosecution Days
Based on 598 resolved cases, 2023–2026

Rejection Statute Breakdown

20.3%
§101 Eligibility
15.7%
§102 Novelty
44.9%
§103 Obviousness
8.8%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18991928 SIMULTANEOUS ACOUSTIC EVENT DETECTION ACROSS MULTIPLE ASSISTANT DEVICES Non-Final OA GOOGLE LLC
18168691 SYSTEMS AND METHODS FOR PHONEME RECOGNITION Final Rejection Amazon Technologies, Inc.
19039912 COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN INFORMATION PROCESSING PROGRAM, METHOD FOR INFORMATION PROCESSING, AND INFORMATION PROCESSING DEVICE Non-Final OA Fujitsu Limited
17962040 System and Method for Generating Synthetic Cohorts Using Generative Modeling Final Rejection Microsoft Technology Licensing, LLC
18832147 DETECTION DEVICE, DETECTION METHOD, AND PROGRAM Final Rejection NTT TechnoCross Corporation
18732822 LARGE LANGUAGE MODEL PROMPT GENERATION AND STRUCTURING Final Rejection Appian Corporation

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