Examiner Ann J Lo has allowed 116 of 257 decided applications (45%) in Computer Architecture, Software, and Information Security.
Ann J Lo has a pooled allowance rate of 45% across 257 disposed applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). Her public record spans five art units: 2126, 2131, 2159, 2166, and 2169. Of the 276 total applications in her record, 116 were allowed and 141 were abandoned. The allowance rate across these art units ranges from 33% to 100%, reflecting variation in outcomes by individual art unit. This pooled figure represents the aggregate record and does not describe the outcome of any single application.
A pooled, cross-art-unit record aggregates data from multiple art units into a single overall allowance rate. This aggregate reflects the examiner's past decisions across all units combined and describes historical outcomes, not predictions about future applications. Individual art units within the examiner's record may have different allowance rates. Pooled figures are useful for understanding an examiner's broad historical record but do not forecast the result in any particular case.
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 information retrieval and database structures.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 80 decided applications with an interview and 95 without.
Primarily examines information retrieval and database structures.
Based on 49 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 36 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines input/output (I/O) data transfer, and memory access and allocation.
Based on 13 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines information retrieval and database structures.
Methodology. This page pools every art unit in which Examiner Ann J 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: 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