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Examiner Charles R Kasenge

TECH CENTER 2100 · 4 ART UNITS · 1,624 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 4 ART UNITS
85%vs 69% weighted peer average+16 pts

Examiner Charles R Kasenge has allowed 1,373 of 1,624 decided applications in Computer Architecture, Software, and Information Security.

allowed1,373abandoned251pending61· pending excluded from the rate
The weighted peer average (69%) is each art unit's average below, weighted by this examiner's applications in it (4 art units).
DATA UPDATED JULY 14, 2026
AU 2116 · 89%AU 2121 · 80%AU 2126 · 80%AU 2125 · 84%
// READING THIS EXAMINER

What the data says.

Charles R Kasenge maintains a pooled allowance rate of 85% across more than a thousand decided applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). His record spans four art units: 2116, 2121, 2125, and 2126. The allowance rate represents the share of applications in his decided pool (allowed and abandoned combined), excluding pending matters. Across these art units, allowance rates range from 80% to 89%. This pooled figure aggregates his work across multiple subject-matter areas within TC 2100 and reflects historical disposition patterns rather than prediction for any individual application.

// HOW TO READ THESE NUMBERS

How to read these numbers.

A pooled record combines an examiner's statistics across multiple art units into a single aggregate figure. This 85% allowance rate reflects past decisions in decided applications across all four of the examiner's assigned units. Because the record is aggregated, it does not identify performance in any single art unit or predict the outcome of any specific application. The range (80%–89%) indicates variation among the individual art units but does not assign any rate to any particular unit.

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 2116
732 APPS · 89% ALLOWANCE

Primarily examines control or regulating systems.

89% allowance (of decided)▏ art-unit average 78%
DISPOSITION600 / 71 / 61allowed / abandoned / pending
FIRST ACTION20.1 moart unit avg 24.1 mo
TOTAL PENDENCY32.5 moart unit avg 37.7 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 eligibility29%art unit 32%3 pts
§102 — Anticipation (novelty)86%no art-unit benchmark
§103 — Obviousness58%art unit 83%25 pts
§112 — Written description & definiteness37%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW94%allowance share
WITHOUT INTERVIEW86%+8 pt difference

A correlation, not proof that interviews cause allowances. Based on 251 decided applications with an interview and 420 without.

ART UNIT 2121
466 APPS · 80% ALLOWANCE

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

80% allowance (of decided)▏ art-unit average 57%
DISPOSITION374 / 92 / 0allowed / abandoned / pending
FIRST ACTION21.3 moart unit avg 27 mo
TOTAL PENDENCY38.8 moart unit avg 39.9 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 eligibility31%art unit 46%15 pts
§102 — Anticipation (novelty)85%no art-unit benchmark
§103 — Obviousness57%art unit 86%29 pts
§112 — Written description & definiteness55%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW90%allowance share
WITHOUT INTERVIEW76%+14 pt difference

A correlation, not proof that interviews cause allowances. Based on 126 decided applications with an interview and 340 without.

ART UNIT 2126
262 APPS · 80% ALLOWANCE

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

80% allowance (of decided)▏ art-unit average 63%
DISPOSITION209 / 53 / 0allowed / abandoned / pending
FIRST ACTION25.3 moart unit avg 29.4 mo
TOTAL PENDENCY40.7 moart unit avg 44.4 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 eligibility31%art unit 53%22 pts
§102 — Anticipation (novelty)88%no art-unit benchmark
§103 — Obviousness61%art unit 88%27 pts
§112 — Written description & definiteness41%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW95%allowance share
WITHOUT INTERVIEW72%+23 pt difference

A correlation, not proof that interviews cause allowances. Based on 92 decided applications with an interview and 170 without.

ART UNIT 2125
225 APPS · 84% ALLOWANCE

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

84% allowance (of decided)▏ art-unit average 75%
DISPOSITION190 / 35 / 0allowed / abandoned / pending
FIRST ACTION16.7 moart unit avg 26.4 mo
TOTAL PENDENCY36.2 moart unit avg 39 mo
// INTERVIEW SPLIT

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

WITH INTERVIEW39%allowance share
WITHOUT INTERVIEW91%-52 pt difference

A correlation, not proof that interviews cause allowances. Based on 28 decided applications with an interview and 197 without.

// FAQ

Questions about Examiner Charles R Kasenge

  • What is Charles R Kasenge's overall allowance rate?
    His pooled allowance rate is 85% across more than a thousand decided applications, reflecting the share of applications allowed within his decided pool (allowed and abandoned, excluding pending).
  • How many art units does this examiner cover?
    Kasenge's record spans four art units in Technology Center 2100: 2116, 2121, 2125, and 2126.
  • Does the allowance rate vary across his art units?
    Yes. Allowance rates across his art units range from 80% to 89%. This pooled figure aggregates all units and is not a prediction for any specific application or art unit.
  • What subject matter does TC 2100 cover?
    Technology Center 2100 covers Computer Architecture, Software, and Information Security.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Charles R Kasenge 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: 1,685 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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