Examiner Ronald D Hartman Jr has allowed 1,128 of 1,240 decided applications (91%) in Computer Architecture, Software, and Information Security.
Ronald D Hartman Jr maintains a pooled allowance rate of 91% across 1,240 decided applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). His record spans five art units: 2118, 2119, 2121, 2126, and 2127. Of the 1,305 total applications, 1,128 were allowed and 112 abandoned. The allowance rate varies across these art units, ranging from 88% to 94%. This pooled figure aggregates the examiner's activity across all five art units and describes the historical record without predicting outcomes for individual applications.
A pooled record aggregates statistics across multiple art units, producing an overall average that reflects the examiner's combined output. The allowance rate shown here—91%—is a historical average of decided applications across TC 2100 and does not forecast results on any single case. The range (88% to 94%) indicates variation among the five art units but does not identify which rate applies to which unit. Pooled data provides context on the examiner's overall practice; individual applications are decided on their own merits.
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 32 decided applications with an interview and 613 without.
Primarily examines electric power networks, supply, and distribution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 24 decided applications with an interview and 389 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 47 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Ronald D Hartman Jr 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: 1,305 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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