Examiner Insun Kang has allowed 720 of 907 decided applications (79%) in Computer Architecture, Software, and Information Security.
Examiner Insun Kang has a public record of 941 total applications across 3 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 907 disposed applications, 720 were allowed, yielding an allowance rate of 79%. The examiner's allowance rate ranges from 79% to 80% across these art units. This pooled figure reflects outcomes across multiple distinct art units and does not predict results on any individual application.
This profile aggregates the examiner's record across three separate art units within TC 2100. The allowance rate shown is a historical aggregate—the percentage of decided applications (allowed plus abandoned) across all units combined. Aggregate figures describe past outcomes and are not predictions of how any specific application will be examined or decided. Individual art units may have different records; the pooled rate reflects the examiner's overall pattern.
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 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 474 decided applications with an interview and 268 without.
Primarily examines 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 39 decided applications with an interview and 119 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Insun Kang 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: 941 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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