Examiner Christyann R Pulliam has allowed 64 of 254 decided applications (25%) in Computer Architecture, Software, and Information Security.
Christyann R Pulliam has a public record of 778 total applications across 4 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 254 disposed applications, 64 were allowed, yielding an overall allowance rate of 25%. This rate is calculated from decided cases only and does not include pending applications. The examiner's allowance rate varies across art units, ranging from 4% to 44%. The record reflects activity in multiple areas within TC 2100, with 190 applications abandoned.
This pooled record aggregates data from four separate art units, meaning the 25% figure represents a combined historical rate across different subject areas. Pooled allowance rates describe past decisions across a portfolio of cases and are not predictions about any individual application. Variation across art units—here 4% to 44%—reflects differences in how cases within each unit were resolved. The aggregate figures provide context for the examiner's overall body of work; applicants may consult individual art-unit data for narrower subject-matter focus.
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 53 decided applications with an interview and 64 without.
Primarily examines information retrieval and database structures.
Based on 40 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 18 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Christyann R Pulliam 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: 778 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 →
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