Examiner Mai T Tran has allowed 233 of 333 decided applications (70%) in Computer Architecture, Software, and Information Security.
Mai T Tran maintains a public record across 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 333 disposed applications, the examiner's allowance rate is 70%, with 233 allowed and 100 abandoned applications. The allowance rate ranges from 62% to 80% across these art units, reflecting variation in the record within the technology center.
This pooled record aggregates data from multiple art units in TC 2100. The overall 70% allowance rate describes historical outcomes across all decided applications in the examiner's record and is not a prediction for any specific application. Aggregated figures mask differences between individual art units; detailed breakdowns by art unit are available separately. Past disposal patterns do not predict future decisions.
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 76 decided applications with an interview and 80 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 47 decided applications with an interview and 88 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 42 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Mai T Tran 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: 333 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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