Examiner Mariela D Reyes has allowed 223 of 371 decided applications (60%) in Computer Architecture, Software, and Information Security.
Mariela D Reyes has a pooled public record of 371 disposed applications across 4 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Over this decided record, the allowance rate stands at 60%, based on 223 allowed applications and 148 abandoned applications. The examiner's record spans art units 2142, 2159, 2167, and 2169. Allowance rates across these art units range from 33% to 96%, reflecting variation in outcomes across the different subject-matter areas within TC 2100.
This record aggregates applications and outcomes across multiple art units within TC 2100. The pooled allowance rate of 60% describes the examiner's past performance on decided applications and is not a prediction about any specific application. Variation in allowance rates across individual art units—here, a range of 33% to 96%—is typical in cross-art-unit records and reflects differences in application types and examination patterns within the technology center. Pooled figures provide general historical context only.
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 84 decided applications with an interview and 176 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 35 decided applications with an interview and 48 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 46 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines information retrieval and database structures.
Methodology. This page pools every art unit in which Examiner Mariela D Reyes 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: 390 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