Examiner Justin C Mikowski has allowed 155 of 194 decided applications (80%) in Computer Architecture, Software, and Information Security.
Justin C Mikowski maintains a public record across 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). His pooled allowance rate is 80%, calculated over 194 disposed applications (155 allowed, 39 abandoned). Allowance rates across the art units range from 54% to 85%. This aggregate record reflects the examiner's combined output across multiple art-unit assignments and represents decisions already rendered; it is not predictive of outcomes on any individual application.
A pooled record aggregates data across multiple art units, yielding an overall allowance rate that describes past dispositions in aggregate. The range reflects variation in allowance rates among the examiner's assigned art units. These figures are historical summaries and do not forecast the result of any specific application. The aggregate rate masks differences between art units; detailed per-art-unit records are available separately and may differ materially from the pooled figure.
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 117 decided applications with an interview and 25 without.
Primarily examines machine learning, and neural-network / biological-model computing.
Based on 28 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 24 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Justin C Mikowski 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: 194 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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