Examiner Olvin Lopez Alvarez has allowed 263 of 535 decided applications (49%) in Computer Architecture, Software, and Information Security.
Examiner Olvin Lopez Alvarez maintains a public record across 3 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 535 disposed applications, his allowance rate is 49%. This reflects 263 allowed applications and 272 abandoned applications. The allowance rate across his art units ranges from 43% to 55%, indicating variation in outcomes by subject area within TC 2100. This pooled figure aggregates his activity across all three art units and describes his historical record; it is not a prediction for any specific application.
This pooled record combines outcomes across multiple art units within TC 2100. Aggregate allowance rates describe past dispositions and do not predict outcomes in individual cases. The range shown (43% to 55%) reflects differences among art units; the overall 49% rate is a mathematical average across all three units. Historical statistics are correlational, not causal—they describe what occurred, not why or what will occur in future applications.
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 control or regulating systems.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 156 decided applications with an interview and 84 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 77 decided applications with an interview and 156 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 42 decided applications with an interview and 20 without.
Methodology. This page pools every art unit in which Examiner Olvin Lopez Alvarez 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: 575 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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