Examiner Jue Wang Louie has allowed 189 of 392 decided applications in Computer Architecture, Software, and Information Security.
Jue Wang Louie maintains a public record across 2 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Across hundreds of decided applications, the examiner's allowance rate is 48%, meaning that proportion of decided applications (those allowed or abandoned) received allowance. The allowance rate ranges from 43% to 65% across these art units, reflecting variation in the examiner's record within the technology center. This pooled figure aggregates the examiner's work across multiple art units and does not predict the outcome of any individual application.
A pooled record aggregates an examiner's allowance rates across multiple art units within a technology center. The overall allowance rate describes historical outcomes on decided applications—those allowed and abandoned—and excludes pending matters. The range shown reflects the lowest and highest allowance rates among the examiner's art units with substantial records. These figures are descriptive of past outcomes and are not predictions for any specific application or art 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 software engineering, and error detection, correction, and monitoring.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 153 decided applications with an interview and 147 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 69 decided applications with an interview and 23 without.
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Methodology. This page pools every art unit in which Examiner Jue Wang Louie 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 July 14, 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: 392 applications.
Rejection rates. Each §-rate is the share of this examiner's applications that drew at least one office-action rejection in which that statutory ground appears; applications with no rejection on record are excluded, and because grounds can co-occur the four do not sum to 100%. The art-unit figure beside each is the unweighted mean of the per-examiner rates across the art unit, published for §101 and §103 only. Beside the overall allowance rate we show a benchmark: for a single-art-unit examiner it is exactly that art unit's average, labeled “art-unit average”; for an examiner spanning several art units it is the “weighted peer average” — the per-art-unit averages, weighted by this examiner's application count in each — labeled distinctly because it is a blended figure, not any single art unit's average. Both are built from the same per-art-unit averages the panels show.
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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