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Examiner Nicholas George Klicos

TECH CENTER 2100 · 4 ART UNITS · 391 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 4 ART UNITS
59%vs 55% weighted peer average+4 pts

Examiner Nicholas George Klicos has allowed 230 of 391 decided applications in Computer Architecture, Software, and Information Security.

allowed230abandoned161pending43· pending excluded from the rate
The weighted peer average (55%) is each art unit's average below, weighted by this examiner's applications in it (4 art units).
DATA UPDATED JULY 14, 2026
AU 2142 · 46%AU 2118 · 85%AU 2145 · 69%AU 2144 · 81%
// READING THIS EXAMINER

What the data says.

Nicholas George Klicos maintains a public record across 4 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Across hundreds of decided applications, his pooled allowance rate is 59%. This figure represents the share of applications that were allowed among all decided (allowed and abandoned) applications in his record. The allowance rate ranges from 46% to 85% across these art units, reflecting variation in outcomes by subject matter within the technology center.

// HOW TO READ THESE NUMBERS

How to read these numbers.

This pooled record aggregates outcomes across multiple art units and does not constitute a prediction of any specific application's outcome. The allowance rate and range describe past disposition patterns across all applications he decided in these art units combined. Variation across individual art units means that outcomes may differ depending on the specific art unit to which an application is assigned. Historical aggregate figures are descriptive only.

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 2142
237 APPS · 46% ALLOWANCE

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

46% allowance (of decided)▏ art-unit average 45%
DISPOSITION109 / 128 / 0allowed / abandoned / pending
FIRST ACTION21 moart unit avg 30.5 mo
TOTAL PENDENCY45.9 moart unit avg 48.3 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 eligibility57%art unit 56%+1 pt
§102 — Anticipation (novelty)80%no art-unit benchmark
§103 — Obviousness98%art unit 91%+7 pts
§112 — Written description & definiteness74%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW58%allowance share
WITHOUT INTERVIEW25%+33 pt difference

A correlation, not proof that interviews cause allowances. Based on 152 decided applications with an interview and 85 without.

ART UNIT 2118
123 APPS · 85% ALLOWANCE
85% allowance (of decided)▏ art-unit average 73%
DISPOSITION68 / 12 / 43allowed / abandoned / pending
FIRST ACTION25.1 moart unit avg 22.1 mo
TOTAL PENDENCY35.3 moart unit avg 36.4 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 eligibility46%art unit 30%+16 pts
§102 — Anticipation (novelty)89%no art-unit benchmark
§103 — Obviousness80%art unit 82%2 pts
§112 — Written description & definiteness69%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW86%allowance share
WITHOUT INTERVIEW84%+2 pt difference

A correlation, not proof that interviews cause allowances. Based on 35 decided applications with an interview and 45 without.

ART UNIT 2145
58 APPS · 69% ALLOWANCE

Primarily examines artificial-intelligence and machine-learning methods.

69% allowance (of decided)▏ art-unit average 53%
DISPOSITION40 / 18 / 0allowed / abandoned / pending
FIRST ACTION14 moart unit avg 26.9 mo
TOTAL PENDENCY36.4 moart unit avg 45.3 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 eligibility25%art unit 45%20 pts
§102 — Anticipation (novelty)100%no art-unit benchmark
§103 — Obviousness100%art unit 93%+7 pts
§112 — Written description & definiteness69%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW74%allowance share
WITHOUT INTERVIEW56%+18 pt difference

A correlation, not proof that interviews cause allowances. Based on 42 decided applications with an interview and 16 without.

ART UNIT 2144
16 APPS · 81% ALLOWANCE · LIMITED DATA
81% allowance (of decided)▏ art-unit average 58%
DISPOSITION13 / 3 / 0allowed / abandoned / pending
FIRST ACTION23.3 moart unit avg 27.2 mo
TOTAL PENDENCY32.9 moart unit avg 41.7 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 eligibility13%art unit 45%32 pts
§102 — Anticipation (novelty)87%no art-unit benchmark
§103 — Obviousness87%art unit 92%5 pts
§112 — Written description & definiteness67%no art-unit benchmark

Based on 16 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.

// FAQ

Questions about Examiner Nicholas George Klicos

  • What is Nicholas George Klicos's overall allowance rate?
    His pooled allowance rate across all decided applications is 59%.
  • How many art units does he examine?
    He has a public record spanning 4 art units (2118, 2142, 2144, 2145) in TC 2100.
  • What range of allowance rates appears across his art units?
    The allowance rate ranges from 46% to 85% across these art units, reflecting variation by subject matter within the technology center.
  • What does this pooled record mean for my application?
    This pooled record describes past aggregate outcomes only and is not a prediction of any specific application's disposition.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Nicholas George Klicos 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: 434 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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