Examiner Arpan P Savla has allowed 221 of 364 decided applications (61%) in Computer Architecture, Software, and Information Security.
Examiner Arpan P Savla maintains a public record spanning 5 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security). Across 364 disposed applications, the allowance rate is 61%. The allowance rate ranges from 53% to 68% across these art units, reflecting variation in the examiner's record by subject matter within TC 2100. A total of 221 applications were allowed and 143 abandoned. These figures represent the examiner's pooled historical record and do not constitute a prediction for any specific application.
This record aggregates the examiner's work across multiple art units in TC 2100. The 61% allowance rate reflects decisions on 364 applications pooled across all units. The range of 53% to 68% indicates that allowance rates vary by individual art unit; this aggregate figure describes past outcomes and is not a prediction of how any particular application will be examined or decided.
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.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 43 decided applications with an interview and 99 without.
Primarily examines input/output (I/O) data transfer, and memory access and allocation.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 70 decided applications with an interview and 55 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 22 decided applications with an interview and 37 without.
Primarily examines input/output (I/O) data transfer, and memory access and allocation.
Primarily examines artificial-intelligence and machine-learning methods.
Based on 7 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Arpan P Savla 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: 385 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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