Examiner Michael J Huntley has allowed 162 of 233 decided applications (70%) in Computer Architecture, Software, and Information Security.
Michael J Huntley has a public record of 237 total applications across 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 233 disposed applications, 162 were allowed, yielding an overall allowance rate of 70%. The 71 abandoned applications represent the remainder of the decided record. Across the examiner's art units, allowance rates range from 62% to 78%, reflecting variation in outcomes within TC 2100. This pooled figure aggregates performance across these three art units and describes the historical record only.
A pooled record combines outcomes from multiple art units into a single allowance rate. The 70% figure represents all decisions (allowed and abandoned applications) across these three units and reflects the historical aggregate record. Pooled figures describe what occurred in the past and are not predictions of outcomes in any individual application. Variation across art units—shown by the 62% to 78% range—is normal and reflects differences in the art units themselves, not a measure of consistency or change over time.
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 78 decided applications with an interview and 27 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 60 decided applications with an interview and 42 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 30 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Michael J Huntley 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: 237 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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