Examiner Suzanne Lo has allowed 230 of 366 decided applications (63%) in Computer Architecture, Software, and Information Security.
Examiner Suzanne Lo maintains a public record across 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 366 disposed applications, her overall allowance rate is 63%, based on 230 allowed and 136 abandoned applications. Allowance rates across her art units range from 56% to 82%. This pooled figure reflects her record across multiple areas of TC 2100 and does not represent a prediction for any individual application.
A pooled record aggregates the examiner's history across all art units in which they have examined applications. The overall allowance rate describes what occurred in the past across decided applications and is a statistical summary, not a forecast. Individual art units may show different rates. A pooled figure provides broad context for an examiner's overall record but does not predict the outcome of any specific application.
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 machine learning, and neural-network / biological-model computing.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 71 decided applications with an interview and 189 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 53 decided applications with an interview and 49 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 4 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Suzanne Lo 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: 366 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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