Examiner Jennifer L Norton has allowed 403 of 752 decided applications (54%) in Computer Architecture, Software, and Information Security.
Jennifer L Norton holds a public record of 818 total applications across five art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 752 disposed applications, 403 were allowed, yielding an overall allowance rate of 54%. The examiner's record spans art units 2117, 2118, 2121, 2126, and 2127. Allowance rates across these art units range from 30% to 72%, reflecting variation in outcomes by art unit. This pooled figure aggregates all decided cases and describes the historical record; it is not a prediction of outcome for any specific application.
A pooled record aggregates results across multiple art units and technology areas. The overall allowance rate (54% here) combines all decided applications without distinguishing by art unit or individual case facts. This aggregate describes past dispositions only and does not forecast the result in any particular application. For detailed, art-unit-specific information, consult the per-art-unit data sections separately.
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 control or regulating systems.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 137 decided applications with an interview and 63 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 133 decided applications with an interview and 29 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 110 decided applications with an interview and 47 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 26 decided applications with an interview and 89 without.
Methodology. This page pools every art unit in which Examiner Jennifer L Norton 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: 818 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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