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Examiner Ziaul Karim

TECH CENTER 2100 · 3 ART UNITS · 981 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 3 ART UNITS

Examiner Ziaul Karim has allowed 843 of 981 decided applications (86%) in Computer Architecture, Software, and Information Security.

86% pooled allowance · benchmarked per art unit below
DATA UPDATED JUNE 25, 2026
AU 2119 · 91%AU 2127 · 75%AU 2117 · 100%
// READING THIS EXAMINER

What the data says.

Examiner Ziaul Karim's public record spans 3 art units within Technology Center 2100 (Computer Architecture, Software, and Information Security), with a pooled allowance rate of 86% across 981 decided applications. Of 1,028 total applications in the record, 843 were allowed and 138 were abandoned. The allowance rate—calculated as a percentage of decided applications only—ranges from 75% to 91% across the examiner's art units. This aggregate figure represents the examiner's historical record across all three art units combined and does not indicate the rate for any individual art unit.

// HOW TO READ THESE NUMBERS

How to read these numbers.

A pooled record aggregates statistics from multiple art units into a single overall figure. The 86% allowance rate reflects past dispositions across all three art units the examiner works in and is a historical record, not a prediction for any particular application. Different art units may show different rates, as indicated by the range of 75% to 91%. Aggregate figures describe what happened; they do not forecast outcomes in individual cases.

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 2119
731 APPS · 91% ALLOWANCE

Primarily examines electric power networks, supply, and distribution.

91% allowance (of decided)▏ art-unit average 83%
DISPOSITION621 / 63 / 47allowed / abandoned / pending
FIRST ACTION18.5 moart unit avg 21.6 mo
TOTAL PENDENCY26.5 moart unit avg 31.5 mo
// REJECTION PROFILE
§101 — Subject-matter eligibility41% · art unit 33%
§102 — Anticipation (novelty)51%
§103 — Obviousness62% · art unit 74%
§112 — Written description & definiteness50%
// INTERVIEW SPLIT

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

WITH INTERVIEW98%allowance share
WITHOUT INTERVIEW82%+16 pt difference

A correlation, not proof that interviews cause allowances. Based on 390 decided applications with an interview and 294 without.

ART UNIT 2127
296 APPS · 75% ALLOWANCE

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

75% allowance (of decided)▏ art-unit average 67%
DISPOSITION221 / 75 / 0allowed / abandoned / pending
FIRST ACTION24.4 moart unit avg 28.5 mo
TOTAL PENDENCY39.6 moart unit avg 41.8 mo
// REJECTION PROFILE
§101 — Subject-matter eligibility40% · art unit 51%
§102 — Anticipation (novelty)58%
§103 — Obviousness81% · art unit 77%
§112 — Written description & definiteness61%
// INTERVIEW SPLIT

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

WITH INTERVIEW90%allowance share
WITHOUT INTERVIEW62%+28 pt difference

A correlation, not proof that interviews cause allowances. Based on 135 decided applications with an interview and 161 without.

ART UNIT 2117
1 APPS · 100% ALLOWANCE · LIMITED DATA

Primarily examines control or regulating systems.

100% allowance (of decided)▏ art-unit average 74%
DISPOSITION1 / 0 / 0allowed / abandoned / pending
FIRST ACTION2 moart unit avg 20.2 mo
TOTAL PENDENCY11.2 moart unit avg 33.2 mo
// REJECTION PROFILE
§101 — Subject-matter eligibility0% · art unit 32%
§102 — Anticipation (novelty)100%
§103 — Obviousness100% · art unit 77%
§112 — Written description & definiteness100%

Based on 1 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.

// FAQ

Questions about Examiner Ziaul Karim

  • What is Examiner Karim's overall allowance rate?
    86% across 981 decided applications in the pooled record spanning all three art units.
  • How many art units does this examiner work in?
    Three art units (2117, 2119, 2127) within Technology Center 2100.
  • Does the allowance rate vary across art units?
    Yes. Allowance rates across the examiner's art units range from 75% to 91%. The pooled figure of 86% combines all three.
  • What does this record tell me about my application?
    This is a historical aggregate. It is not a prediction of any specific application's outcome.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Ziaul Karim 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: 1,028 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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