Examiner Douglas S Lee has allowed 308 of 365 decided applications (84%) in Computer Architecture, Software, and Information Security.
Douglas S Lee maintains a public record across 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 365 disposed applications, 308 were allowed, yielding an 84% allowance rate. The allowance rate ranges from 80% to 90% across his art units. This pooled figure aggregates outcomes from multiple art units with different subject matter and examination contexts, each of which may operate at different rates. The 84% figure describes the examiner's historical record across all disposed cases and is not a prediction for any specific application.
A pooled record aggregates an examiner's outcomes across multiple art units, combining different technology areas and examination populations into a single overall rate. The 84% allowance rate reflects past dispositions and describes this examiner's historical profile. Individual art units within TC 2100 show variation (ranging 80%–90%), which reflects differences in subject matter, applicant populations, or case complexity by unit. Pooled figures are descriptive of the past record only and are not predictions for any individual 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 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 36 decided applications with an interview and 170 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 20 decided applications with an interview and 135 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 Douglas S Lee 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: 365 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