Examiner Reza U Nabi has allowed 650 of 717 decided applications (91%) in Computer Architecture, Software, and Information Security.
Reza U Nabi maintains a public record in Technology Center 2100 (Computer Architecture, Software, and Information Security) spanning three art units: 2142, 2174, and 2175. Across 717 decided applications, the examiner allowed 650, yielding an allowance rate of 91%. The pooled record reflects work distributed across multiple art units within TC 2100, with allowance rates ranging from 88% to 98% among those units. Sixty-seven applications were abandoned. This aggregate figure describes the past record and is not a prediction for any specific application.
This pooled record aggregates data from three separate art units within TC 2100. The 91% allowance rate is calculated from all decided applications (allowed plus abandoned) across those units combined. Pooled figures describe historical outcomes and do not predict the disposition of any individual application. The range of 88% to 98% illustrates variation among the constituent art units; the specific rate applicable to a given application depends on the art unit to which it is assigned.
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 general computer details, and program control and execution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 371 decided applications with an interview and 147 without.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 112 decided applications with an interview and 44 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 43 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Reza U Nabi 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: 736 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 →
ATTORNEY ADVERTISING — Sean Lynch, Partner, Lynch LLP