Examiner Darrin D Dunn has allowed 734 of 975 decided applications (75%) in Computer Architecture, Software, and Information Security.
Darrin D Dunn has a public record across 4 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 975 decided applications, he has allowed 734 and abandoned 241, yielding an overall allowance rate of 75% across disposed cases. The allowance rate ranges from 63% to 84% among his art units with substantial records, reflecting variation in outcomes across the different subject areas within TC 2100 where he works. This pooled figure aggregates his work across all four art units and represents historical disposition data.
This profile presents a pooled record—an aggregate of the examiner's work across multiple art units within TC 2100. The overall allowance rate (75%) and the range (63% to 84%) describe past dispositions and are not predictions of outcome for any specific application. Pooled data combines different art units and different cohorts of cases over time. Individual applications may fall anywhere within the art-unit range or outside it. Treat these figures as historical context, not as indicators of how any pending case will be examined.
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 control or regulating systems.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 150 decided applications with an interview and 194 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 97 decided applications with an interview and 270 without.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 86 decided applications with an interview and 60 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 46 decided applications with an interview and 72 without.
Methodology. This page pools every art unit in which Examiner Darrin D Dunn 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: 1,025 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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