Examiner Akash Saxena has allowed 290 of 617 decided applications (47%) in Computer Architecture, Software, and Information Security.
Patent Examiner Akash Saxena has a public record spanning three art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Across 617 disposed applications, his allowance rate stands at 47%. This rate reflects applications decided—both allowed and abandoned—and excludes pending matters. The examiner's allowance rate ranges from 40% to 71% across his art units, reflecting variation in the disposition patterns within this technology center. The pooled figure of 47% represents an aggregate across all three art units and describes the historical record.
A pooled record aggregates data across multiple art units, presenting an overall snapshot rather than art-unit-specific detail. The allowance rate and range shown here describe past dispositions and do not constitute a prediction for any particular application. Individual art units may show different allowance patterns; this pooled view offers context on the examiner's overall history within TC 2100. Detailed per-art-unit records are available separately.
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 146 decided applications with an interview and 249 without.
Primarily examines computer-aided design (CAD).
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 77 decided applications with an interview and 42 without.
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 69 decided applications with an interview and 34 without.
Methodology. This page pools every art unit in which Examiner Akash Saxena 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: 661 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