Examiner Alfred H. Wechselberger has allowed 133 of 229 decided applications (58%) in Computer Architecture, Software, and Information Security.
Alfred H. Wechselberger has a public record spanning 5 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Across 229 disposed applications, his allowance rate is 58%. The range of allowance rates among his art units spans from 33% to 74%, reflecting variation in the disposition patterns across the different subject areas within TC 2100 where he has examined applications. The examiner's overall record aggregates activity in art units 2123, 2129, 2146, 2148, and 2187.
A pooled, cross-art-unit record aggregates the examiner's outcomes across multiple subject areas and combines them into a single overall figure. The 58% allowance rate describes historical outcomes on 229 decided applications and is a factual summary of past dispositions. This aggregate figure is descriptive of the record and is not a prediction about the outcome of any specific application, which depends on claim scope, prior art, and application-specific factors.
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 52 decided applications with an interview and 38 without.
Primarily examines computer-aided design (CAD).
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 43 decided applications with an interview and 25 without.
Primarily examines artificial-intelligence and machine-learning methods.
Based on 21 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 11 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Alfred H. Wechselberger 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: 276 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 →
ATTORNEY ADVERTISING — Sean Lynch, Partner, Lynch LLP