Examiner Michael Edward Cocchi has allowed 74 of 188 decided applications (39%) in Computer Architecture, Software, and Information Security.
Michael Edward Cocchi maintains a public record across three art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Over 188 decided applications, he issued 74 allowances, for an overall allowance rate of 39%. The allowance rate ranges from 34% to 48% across these art units. His record reflects work in multiple areas within TC 2100, with variation in outcomes across different art-unit cohorts. Of 242 total applications in his record, 114 were abandoned and 74 were allowed.
This pooled record aggregates applications across multiple art units and reflects the examiner's past decisions in TC 2100. The 39% overall allowance rate describes historical outcomes on decided applications only—pending cases are excluded. The range of 34% to 48% across art units illustrates variation in allowance rates by art-unit cohort. These figures are a factual summary of past work and do not predict the outcome of any specific application or constitute guidance on prosecution strategy.
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 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 39 decided applications with an interview and 21 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 54 decided applications with an interview and 23 without.
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 24 decided applications with an interview and 27 without.
Methodology. This page pools every art unit in which Examiner Michael Edward Cocchi 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: 242 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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