Examiner Zoila E Cabrera has allowed 175 of 231 decided applications (76%) in Computer Architecture, Software, and Information Security.
Examiner Zoila E Cabrera maintains a public record across three art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 231 disposed applications, 175 were allowed, yielding an allowance rate of 76%. The examiner's work spans art units 2121, 2123, and 2125. Allowance rates vary across these art units, ranging from 52% to 79%. This pooled figure reflects the examiner's combined record and does not isolate performance within any single art unit.
A pooled record aggregates an examiner's activity across multiple art units, presenting an overall allowance rate rather than unit-specific figures. The 76% rate describes past dispositions—allowed and abandoned applications—and is historical data only. It is not a prediction of any specific application's outcome. Allowance rates vary by art unit; this aggregate masks that variation. Pooled records are useful for understanding broad patterns but do not forecast individual case results.
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 40 decided applications with an interview and 162 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner Zoila E Cabrera 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: 231 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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