Examiner Ruay L Ho has allowed 432 of 623 decided applications (69%) in Computer Architecture, Software, and Information Security.
Examiner Ruay L Ho maintains a public record across three art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 623 disposed applications, 432 were allowed, yielding an overall allowance rate of 69%. The allowance rate across the examiner's art units ranges from 64% to 93%, reflecting variation in the record across different subject areas within TC 2100. This pooled figure aggregates the examiner's work across all three art units and describes historical outcomes only.
A pooled examiner record combines statistics from multiple art units into a single aggregate profile. The overall allowance rate of 69% describes past dispositions across all art units together and is not a prediction of any specific application's outcome. The range (64% to 93%) shows that allowance rates differ among the individual art units; the pooled rate sits between these extremes. Each art unit's individual record appears separately on this page and may provide additional context for applications in that unit.
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 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 233 decided applications with an interview and 244 without.
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 46 decided applications with an interview and 53 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 47 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Ruay L Ho 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: 623 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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