Examiner Tan V Mai has allowed 1,872 of 2,086 decided applications in Computer Architecture, Software, and Information Security.
Examiner Tan V Mai maintains a public record across five art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). The pooled allowance rate stands at 90% across more than a thousand decided applications. This figure reflects the proportion of applications that issued as allowed or were abandoned, excluding pending matters. Allowance rates vary across the examiner's art units, ranging from 85% to 95%. The examiner's record spans art units 2121, 2124, 2182, 2183, and 2193, representing a cross-disciplinary practice within TC 2100.
This record aggregates decisions across multiple art units and reflects past outcomes on decided applications only. A pooled allowance rate describes historical grant frequency and does not function as a prediction of any specific application's outcome. Variations in allowance rates among art units reflect differences in those units' respective subject matter and application populations. Each art unit's individual record is available separately and may differ from the overall pooled figure presented here.
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.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 83 decided applications with an interview and 908 without.
Primarily examines data-processing methods for specific functions, and processing data by its order or content.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 132 decided applications with an interview and 736 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Primarily examines program control and execution.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
Primarily examines neural-network / biological-model computing, and machine learning.
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Methodology. This page pools every art unit in which Examiner Tan V Mai 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 July 14, 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: 2,086 applications.
Rejection rates. Each §-rate is the share of this examiner's applications that drew at least one office-action rejection in which that statutory ground appears; applications with no rejection on record are excluded, and because grounds can co-occur the four do not sum to 100%. The art-unit figure beside each is the unweighted mean of the per-examiner rates across the art unit, published for §101 and §103 only. Beside the overall allowance rate we show a benchmark: for a single-art-unit examiner it is exactly that art unit's average, labeled “art-unit average”; for an examiner spanning several art units it is the “weighted peer average” — the per-art-unit averages, weighted by this examiner's application count in each — labeled distinctly because it is a blended figure, not any single art unit's average. Both are built from the same per-art-unit averages the panels show.
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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