Examiner John E Johansen has allowed 251 of 323 decided applications (78%) in Computer Architecture, Software, and Information Security.
John E Johansen has a pooled allowance rate of 78% across 323 disposed applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). His record spans four art units: 2123, 2127, 2146, and 2187. Of 353 total applications, 251 were allowed and 72 were abandoned. The allowance rate across his art units ranges from 68% to 84%, reflecting variation in the decided record among the different art units in which he works.
This pooled record aggregates all applications across four art units into a single profile. The overall allowance rate describes the examiner's historical record and does not constitute a prediction of any specific application's outcome. Aggregate figures mask variation among individual art units. The stated range (68% to 84%) reflects the spread of allowance rates among those separate units; the pooled figure is the combined result across all of them.
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 artificial-intelligence and machine-learning methods.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 63 decided applications with an interview and 83 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 47 decided applications with an interview and 53 without.
Primarily examines computer-aided design (CAD).
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 26 decided applications with an interview and 42 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 9 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner John E Johansen 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: 353 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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