Examiner Ajay M Bhatia has allowed 58 of 146 decided applications (40%) in Computer Architecture, Software, and Information Security.
Ajay M Bhatia has a public record across 4 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Of 146 disposed applications, 58 were allowed, yielding an overall allowance rate of 40%. The allowance rate across his art units ranges from 3% to 60%, reflecting variation in outcomes within TC 2100. This pooled figure aggregates decisions across all four art units and describes his past record without predicting outcomes in any specific pending application.
A pooled record aggregates an examiner's decisions across multiple art units and subject areas within a technology center. The overall allowance rate (40% here) is a historical summary of decided cases, not a prediction about any individual application. The range (3% to 60%) shows that outcomes vary across different art units. Pooled statistics describe past performance; they do not forecast results in any particular case 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 artificial-intelligence and machine-learning methods.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 27 decided applications with an interview and 49 without.
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 control or regulating systems.
Based on 30 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Primarily examines information retrieval and database structures.
Based on 9 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Ajay M Bhatia 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: 147 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.
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