Examiner Alexey Shmatov has allowed 268 of 431 decided applications (62%) in Computer Architecture, Software, and Information Security.
Examiner Alexey Shmatov maintains a public record spanning five art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Across 431 disposed applications, he allowed 268, yielding an overall allowance rate of 62%. His allowance rate ranges from 39% to 74% across these art units, reflecting variation in the examination outcomes within his portfolio. This pooled figure represents the aggregate of his work across multiple art units and does not predict the outcome of any individual application.
This pooled record aggregates Alexey Shmatov's examination activity across five art units in TC 2100. The 62% allowance rate describes the ratio of allowed to decided applications in his historical record and is not a prediction of any specific case. The range of 39% to 74% across art units shows variation in outcomes, but the pooled figure is a combined metric and does not isolate performance in any particular art unit or technology area.
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 information retrieval and database structures.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 75 decided applications with an interview and 104 without.
Primarily examines information retrieval and database structures.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 72 decided applications with an interview and 104 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 23 decided applications with an interview and 36 without.
Primarily examines information retrieval and database structures.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 2 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Alexey Shmatov 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: 434 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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