Examiner Kelvin Booker has allowed 491 of 602 decided applications (82%) in Computer Architecture, Software, and Information Security.
Patent Examiner Kelvin Booker maintains a public record of 622 total applications across four art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 602 disposed applications, 491 were allowed, resulting in an 82% allowance rate. The examiner's record spans multiple art units (2119, 2121, 2122, 2127), with allowance rates ranging from 70% to 87% across these units. This pooled figure represents the aggregate of decided applications—allowed and abandoned combined—and reflects the examiner's historical disposition across TC 2100 subject matter.
A pooled record aggregates dispositions across multiple art units into a single historical summary. The overall allowance rate describes past decisions on decided applications and is not a prediction of outcome for any specific application. Allowance rates vary by art unit; the range shown reflects this variation. Pooled statistics describe what has occurred, not what will occur in future prosecution.
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 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 122 decided applications with an interview and 227 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 59 decided applications with an interview and 161 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 20 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 Kelvin Booker 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: 622 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.
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