Examiner David H Malzahn has allowed 1,153 of 1,350 decided applications (85%) in Computer Architecture, Software, and Information Security.
David H Malzahn has disposed of 1,350 applications across five art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Of these decided applications, 1,153 were allowed, yielding an 85% allowance rate. His record spans art units 2121, 2124, 2182, 2183, and 2193. Allowance rates across these art units range from 78% to 91%. The data reflects a pooled aggregate and does not indicate performance in any specific art unit.
A pooled record aggregates results across multiple art units, masking variation between them. The overall 85% allowance rate describes past outcomes across all five art units combined and is not a prediction of any specific application's outcome. Allowance rates vary by art unit—from 78% to 91% in this examiner's record—and per-art-unit detail is separately available. Aggregate figures characterize historical disposition 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 software engineering, and error detection, correction, and monitoring.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 110 decided applications with an interview and 686 without.
Primarily examines data-processing methods for specific functions, and processing data by its order or content.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 90 decided applications with an interview and 271 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Primarily examines 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 18 decided applications with an interview and 72 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Methodology. This page pools every art unit in which Examiner David H Malzahn 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: 1,350 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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