Examiner Claudia B Dragoescu has allowed 347 of 465 decided applications (75%) in Computer Architecture, Software, and Information Security.
Examiner Claudia B Dragoescu maintains a public record across four art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 465 disposed applications, the examiner allowed 347, yielding an allowance rate of 75%. This rate reflects outcomes among decided cases (allowed and abandoned combined); pending applications are excluded from this calculation. Allowance rates across the examiner's art units range from 67% to 100%, reflecting variation in outcomes by art unit within TC 2100.
A pooled record aggregates data across multiple art units, presenting an overall historical allowance rate. This figure describes past outcomes on decided applications and is not a prediction of disposition on any specific application. Individual art units may show different allowance rates. Pooled statistics do not indicate how any single application will be examined or decided.
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 artificial-intelligence and machine-learning methods.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 142 decided applications with an interview and 159 without.
Primarily examines general computer details, and program control and execution.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 86 decided applications with an interview and 53 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 20 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Based on 5 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Claudia B Dragoescu 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: 465 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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