Examiner Alan S Chen has allowed 1,504 of 1,678 decided applications (90%) in Computer Architecture, Software, and Information Security.
Alan S Chen's public record in Technology Center 2100 (Computer Architecture, Software, and Information Security) spans four art units: 2124, 2125, 2129, and 2182. Across these units, the examiner has disposed of 1,678 applications, of which 1,504 were allowed, yielding an overall allowance rate of 90%. The allowance rate varies across the examiner's art units, ranging from 84% to 95%. This pooled figure reflects decisions on applications across all four art units and does not constitute a prediction of outcome for any individual application.
A pooled record aggregates statistics across multiple art units into a single historical snapshot. The overall allowance rate of 90% describes the examiner's past record on 1,678 decided applications across TC 2100. This aggregate figure is not a prediction of any specific application's outcome. The range of 84% to 95% reflects variation in allowance rates among the art units; detailed per-unit records appear in separate sections.
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 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 222 decided applications with an interview and 327 without.
Primarily examines data-processing methods for specific functions, and processing data by its order or content.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 126 decided applications with an interview and 452 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 316 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 73 decided applications with an interview and 103 without.
Methodology. This page pools every art unit in which Examiner Alan S Chen 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: 1,728 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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