Examiner Jason D Mitchell has allowed 440 of 793 decided applications (55%) in Computer Architecture, Software, and Information Security.
Jason D Mitchell maintains a public record in Technology Center 2100 (Computer Architecture, Software, and Information Security) spanning three art units. Over 793 disposed applications, his allowance rate is 55%. Of 835 total applications, 440 were allowed and 353 were abandoned. The allowance rate varies across his art units, ranging from 46% to 60%. This pooled figure reflects outcomes across all three art units combined and describes his historical record without predicting outcomes on individual applications.
This pooled record aggregates outcomes across three art units within TC 2100. The 55% allowance rate is computed from decided applications only—allowed plus abandoned—and excludes pending cases. The range (46% to 60%) shows variation among the art units but does not identify which unit produced which rate. Pooled figures describe past dispositions and are not predictions of outcomes on any specific application or art unit.
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 software engineering, and program control and execution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 320 decided applications with an interview and 222 without.
Primarily examines software engineering, and error detection, correction, and monitoring.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 115 decided applications with an interview and 133 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Jason D Mitchell 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: 835 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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