Examiner Emilio J Saavedra has allowed 358 of 512 decided applications (70%) in Computer Architecture, Software, and Information Security.
Examiner Emilio J Saavedra holds a public record of 567 total applications across Technology Center 2100 (Computer Architecture, Software, and Information Security). Among 512 decided applications, 358 were allowed, yielding an overall allowance rate of 70%. The examiner's work spans three art units within TC 2100. Allowance rates across these art units range from 47% to 78%, reflecting variation in outcomes by subject-matter classification. This pooled figure aggregates the examiner's record without breaking down individual art-unit performance.
This profile presents Emilio J Saavedra's aggregate record pooled across multiple art units in TC 2100. The 70% allowance rate reflects historical decisions on 512 disposed applications and describes past outcomes only. Pooled figures do not isolate performance by art unit and are not predictions of the outcome on any single application. Review of the separate art-unit detail will show how allowance rates vary by classification within the technology center.
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 control or regulating systems.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 174 decided applications with an interview and 179 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Allowance rate for applications with an examiner interview versus without one.
A correlation, not proof that interviews cause allowances. Based on 34 decided applications with an interview and 99 without.
Primarily examines neural-network / biological-model computing, and machine learning.
Based on 26 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.
Methodology. This page pools every art unit in which Examiner Emilio J Saavedra 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: 567 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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