Examiner Omar F Fernandez Rivas has allowed 272 of 408 decided applications (67%) in Computer Architecture, Software, and Information Security.
Omar F Fernandez Rivas has a pooled public record of 423 total applications across 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 408 disposed applications, 272 were allowed, yielding an overall allowance rate of 67%. The examiner's allowance rate ranges from 48% to 83% across the art units in which the examiner maintains a substantial record. This pooled figure represents the aggregate outcome across all three art units and does not reflect performance within any single art unit.
This profile aggregates data across multiple art units within TC 2100. A pooled allowance rate describes the examiner's historical record as a whole and reflects past dispositions. The range (48% to 83%) shows variation among individual art units but does not identify which art unit carries which rate. Pooled figures are descriptive of history only and are not predictions about any specific application.
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 61 decided applications with an interview and 139 without.
Primarily examines machine learning, and neural-network / biological-model computing.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 26 decided applications with an interview and 90 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Omar F Fernandez Rivas 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: 423 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.
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