Prosecution Insights
Last updated: October 04, 2026

Examiner: HAJIABBASI, AMIR MAHDI

Tech Center 2400 • Art Units: 2407

This examiner grants 87% of resolved cases

Analysis

Amir Mahdi Hajiabbasi examines cases in Art Unit 2407 and Tech Center 2400, with 29 resolved cases to date. The allowance rate of 86.2% is exceptionally high, indicating that the vast majority of applications under his review are granted. The median time to allowance is 933 days, providing a clear expectation for the duration of the prosecution cycle. With 29 resolved cases, the examiner has established a clear pattern of approval within the 2400 tech center.

The interview lift of 7.1% is modest, which is expected given the high 86.2% baseline allowance rate. In the cases analyzed, most applicants appear to achieve success without the need for significant oral advocacy. The 933 days to allowance is a standard timeframe for Art Unit 2407. While the 7.1% lift shows that interviews can still be helpful, the baseline allowance rate suggests that well-drafted applications are likely to succeed based on the written record alone. Practitioners should focus on maintaining this high probability of success through clear and concise filings.

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

Performance Statistics

87.1%
Allow Rate
+29.1% vs TC avg
40
Total Applications
+6.1%
Interview Lift
944
Avg Prosecution Days
Based on 31 resolved cases, 2023–2026

Rejection Statute Breakdown

4.2%
§101 Eligibility
11.8%
§102 Novelty
61.8%
§103 Obviousness
18.1%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18359183 SYSTEMS AND METHODS FOR ASSESSING CYBERSECURITY EFFICACY OF ENTITIES AGAINST COMMON CONTROL AND MATURITY FRAMEWORKS USING EXTERNALLY-OBSERVED DATASETS Non-Final OA BitSight Technologies, Inc.
18549371 Systems and Methods for Non-Destructive Detection of Hardware Anomalies Non-Final OA Battelle Memorial Institute
18534054 SYSTEM AND METHOD FOR DETERMINING CYBERSECURITY RISK LEVEL OF ELECTRONIC MESSAGES Non-Final OA Barracuda Networks, Inc.
19090809 SYSTEMS AND METHODS FOR MACHINE LEARNING ASSISTED AUTHORIZATION POLICY RECOMMENDATIONS Non-Final OA CyberArk Software Ltd.

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