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Examiner Michael Zidanic

TECH CENTER 2100 · 1 ART UNIT · 200 DECIDED APPLICATIONS · LAST ACTION DEC 2019
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 1 ART UNIT
61%vs 55% art-unit average+6 pts

Examiner Michael Zidanic has allowed 121 of 200 decided applications in Computer Architecture, Software, and Information Security.

allowed121abandoned79pending0· pending excluded from the rate
DATA UPDATED JULY 14, 2026
// READING THIS EXAMINER

What the data says.

Michael Zidanic maintains a public record in Technology Center 2100 (Computer Architecture, Software, and Information Security). Across his single art unit, his pooled allowance rate stands at 61% of decided applications. This figure represents the share of applications that issued as allowed among all decided cases (allowed and abandoned combined), spanning hundreds of decided applications. The 61% rate is based on the examiner's complete pooled record and reflects outcomes across the applications examined within TC 2100.

// HOW TO READ THESE NUMBERS

How to read these numbers.

This pooled record aggregates all applications decided across the examiner's art unit(s) within TC 2100. The allowance rate presented is a historical summary of past outcomes and describes what occurred in the examined caseload—not a prediction of any specific application's outcome. Pooled figures mask variation that may exist across different art units or application types. An individual application's path depends on claim scope, prior art, and examiner analysis in that specific case.

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 →

// BY ART UNIT

The record, art unit by art unit.

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.

◈ PRIMARY · ART UNIT 2122
200 APPS · 61% ALLOWANCE

Primarily examines neural-network / biological-model computing, and machine learning.

61% allowance (of decided)▏ art-unit average 55%
DISPOSITION121 / 79 / 0allowed / abandoned / pending
FIRST ACTION23.2 moart unit avg 27.2 mo
TOTAL PENDENCY39.1 moart unit avg 39.3 mo
// REJECTION PROFILE
REJECTION RATE = SHARE OF THIS EXAMINER'S APPLICATIONS THAT DREW ≥1 OFFICE-ACTION REJECTION IN WHICH THE GROUND APPEARS

Grounds can co-occur, so the four don't sum to 100%. The art-unit figure is the unweighted mean across examiners in the art unit; §102 and §112 carry no art-unit benchmark.

§101 — Subject-matter eligibility69%art unit 55%+14 pts
§102 — Anticipation (novelty)47%no art-unit benchmark
§103 — Obviousness85%art unit 83%+2 pts
§112 — Written description & definiteness52%no art-unit benchmark
// INTERVIEW SPLIT

Allowance rate for applications with an examiner interview versus without one.

WITH INTERVIEW64%allowance share
WITHOUT INTERVIEW57%+7 pt difference

A correlation, not proof that interviews cause allowances. Based on 98 decided applications with an interview and 102 without.

// FAQ

Questions about Examiner Michael Zidanic

  • What is Michael Zidanic's allowance rate?
    His pooled allowance rate is 61% of decided applications across all art units in TC 2100. This represents the share of applications allowed among all decided cases (allowed and abandoned combined) in his public record.
  • How many art units does this examiner cover?
    Michael Zidanic's record spans 1 art unit within Technology Center 2100. The allowance rate shown is pooled across that art unit.
  • What does the pooled record represent?
    The pooled record aggregates all decided applications across the examiner's art unit(s) and describes historical outcomes. It is not a forecast of any individual application and does not account for differences in application type or complexity.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Michael Zidanic 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 July 14, 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: 200 applications.

Rejection rates. Each §-rate is the share of this examiner's applications that drew at least one office-action rejection in which that statutory ground appears; applications with no rejection on record are excluded, and because grounds can co-occur the four do not sum to 100%. The art-unit figure beside each is the unweighted mean of the per-examiner rates across the art unit, published for §101 and §103 only. Beside the overall allowance rate we show a benchmark: for a single-art-unit examiner it is exactly that art unit's average, labeled “art-unit average”; for an examiner spanning several art units it is the “weighted peer average” — the per-art-unit averages, weighted by this examiner's application count in each — labeled distinctly because it is a blended figure, not any single art unit's average. Both are built from the same per-art-unit averages the panels show.

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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