Examiner Mohamed Abou El Seoud has allowed 93 of 222 decided applications (42%) in Computer Architecture, Software, and Information Security.
Mohamed Abou El Seoud has a public record of 288 total applications across 5 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 222 disposed applications, 93 were allowed, yielding an overall allowance rate of 42%. The allowance rate ranges from 37% to 44% across these art units. This pooled figure reflects the examiner's aggregate record; individual art units within TC 2100 show variation around this overall rate.
This pooled record aggregates data across multiple art units in TC 2100. The 42% allowance rate describes past decisions on 222 closed applications and does not constitute a prediction for any specific pending or future application. The range (37%–44%) reflects variation among the examiner's art units. Pooled statistics describe what occurred; they do not determine individual prosecution outcomes.
These are aggregate statistics from this examiner's past public record — not predictions about any specific application. The per-art-unit figures below show how the record varies across art units. Our approach to patent prosecution →
Each section benchmarks this examiner against that art unit's average. Figures are this examiner's own public record within the art unit; the overall rate above pools them.
Primarily examines neural-network / biological-model computing, and machine learning.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 28 decided applications with an interview and 16 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 47 decided applications with an interview and 19 without.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 37 decided applications with an interview and 27 without.
Based on 38 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines general computer details, and program control and execution.
Based on 10 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Mohamed Abou El Seoud has a public record within Technology Center 2100. Statistics are computed from publicly available USPTO records, refreshed on a recurring schedule. This page's data was last updated June 25, 2026. The overall allowance rate is total allowed divided by total decided applications (allowed plus abandoned) across all art units — not an average of the per-art-unit rates; pending applications are excluded. Figures are rounded for display. Pooled sample: 288 applications.
Lynch LLP is not affiliated with, endorsed by, or sponsored by the United States Patent and Trademark Office. Examiner statistics are derived from publicly available USPTO data.
These statistics describe past examiner behavior and do not predict the outcome of any particular application. Past results do not guarantee future outcomes. Where this page compares an examiner's allowance rate to an art-unit average, that comparison is a factual description of the public record, not a characterization of any individual examiner's conduct or competence.
This page is for general informational purposes and is not legal advice. No attorney-client relationship is formed by viewing it. Full disclaimers →
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