Examiner Mohammad Ali has allowed 143 of 236 decided applications (61%) in Computer Architecture, Software, and Information Security.
Mohammad Ali has a pooled allowance rate of 61% across 236 decided applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). His public record spans 6 art units: 2119, 2127, 2158, 2166, 2167, and 2177. Among these art units, allowance rates range from 0% to 78%, reflecting variation in the examiner's record across different subject-matter areas within TC 2100. The pooled figure aggregates all decided cases—143 allowed and 93 abandoned—and does not represent a prediction for any individual application.
A pooled record aggregates an examiner's performance across multiple art units into a single overall statistic. The allowance rate of 61% reflects decided cases only and represents past disposition history, not a forecast of future outcomes on any specific application. The range (0% to 78%) shows that outcomes vary meaningfully across the examiner's different art-unit assignments, so pooled data describes the examiner's aggregate pattern rather than performance in any single area.
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 47 decided applications with an interview and 32 without.
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 31 decided applications with an interview and 30 without.
Primarily examines electric power networks, supply, and distribution.
Based on 35 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 32 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines information retrieval and database structures.
Based on 2 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Mohammad Ali 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: 241 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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