Examiner David Phantana Angkool has allowed 838 of 969 decided applications (86%) in Computer Architecture, Software, and Information Security.
David Phantana Angkool maintains a public record across 4 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 969 disposed applications, he allowed 838, yielding an overall allowance rate of 86%. His record spans art units 2145, 2172, 2175, and 2179. Allowance rates across these art units range from 44% to 96%, reflecting variation in outcomes by art unit. This pooled figure aggregates results across all four units and describes his historical record only.
This pooled record combines outcomes across multiple art units within TC 2100, masking unit-by-unit differences. The 86% allowance rate is computed from all disposed (decided) applications—allowed plus abandoned—and does not forecast any individual application's outcome. Aggregate historical figures describe past decisions and are not predictions. Detailed allowance rates for each separate art unit appear in the per-art-unit section of this profile.
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 general computer details, 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 162 decided applications with an interview and 533 without.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 60 decided applications with an interview and 141 without.
Primarily examines artificial-intelligence and machine-learning methods.
Based on 37 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner David Phantana Angkool 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: 1,005 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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