Examiner Viker Alejandro Lamardo has allowed 142 of 228 decided applications (62%) in Computer Architecture, Software, and Information Security.
Examiner Viker Alejandro Lamardo has a public record spanning four art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Across 228 disposed applications, 142 were allowed and 86 were abandoned, yielding an overall allowance rate of 62%. The allowance rate varies across the examiner's art units, ranging from 41% to 71%. This pooled figure reflects the aggregate record across all four art units and does not represent performance in any single art unit.
A pooled record aggregates outcomes across multiple art units within a technology center. The overall allowance rate—here, 62% across 228 disposed applications—describes past aggregate performance and is not a prediction of any specific application's outcome. The range (41% to 71%) indicates variation among individual art units. Pooled figures are historical summaries; they do not account for differences in claim scope, prior art, or other application-specific factors.
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 81 decided applications with an interview and 36 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 26 decided applications with an interview and 30 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 37 decided applications with an interview and 15 without.
Primarily examines artificial-intelligence and machine-learning methods.
Based on 3 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Viker Alejandro Lamardo 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: 228 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 →
ATTORNEY ADVERTISING — Sean Lynch, Partner, Lynch LLP