Examiner Carlos R Ortiz Rodriguez has allowed 727 of 942 decided applications (77%) in Computer Architecture, Software, and Information Security.
Carlos R Ortiz Rodriguez has a pooled allowance rate of 77% across 942 disposed applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). His public record spans 5 art units: 2119, 2122, 2123, 2125, and 2127. Of 1,010 total applications, 727 were allowed and 215 abandoned. The allowance rate across his art units ranges from 57% to 86%, reflecting variation in the decided record across different subject areas within TC 2100.
This pooled record aggregates decisions across five art units in TC 2100. The 77% allowance rate describes past decisions on 942 disposed applications and does not predict the outcome of any specific application. The range of 57% to 86% reflects differences among the individual art units but is not attributed to any named unit. Pooled figures provide historical context; individual applications are examined on their own merits.
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 electric power networks, supply, and distribution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 17 decided applications with an interview and 424 without.
Primarily examines neural-network / biological-model computing, and machine learning.
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 90 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 16 decided applications with an interview and 73 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 23 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Carlos R Ortiz Rodriguez 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: 1,010 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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