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Examiner Mong-Shune Chung

TECH CENTER 2100 · 3 ART UNITS · 482 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 3 ART UNITS
80%vs 57% weighted peer average+23 pts

Examiner Mong-Shune Chung has allowed 384 of 482 decided applications in Computer Architecture, Software, and Information Security.

allowed384abandoned98pending33· pending excluded from the rate
The weighted peer average (57%) is each art unit's average below, weighted by this examiner's applications in it (3 art units).
DATA UPDATED JULY 14, 2026
AU 2142 · 56%AU 2144 · 95%AU 2118 · 96%
// READING THIS EXAMINER

What the data says.

Mong-Shune Chung maintains a record across 3 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). The examiner's pooled allowance rate stands at 80% of decided applications across hundreds of decided applications. Allowance rates across the art units range from 56% to 96%. This spread reflects variation in the examiner's record within the technology center. The pooled figure aggregates outcomes from all art units where the examiner has a substantial record.

// HOW TO READ THESE NUMBERS

How to read these numbers.

A pooled record aggregates data from multiple art units into a single metric. The overall allowance rate of 80% describes the examiner's historical outcomes and is not a prediction of any specific application's fate. The range from 56% to 96% indicates that individual art units within TC 2100 show different allowance patterns. Pooled statistics summarize past decisions; each application is examined on its individual merits.

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
191 APPS · 56% ALLOWANCE

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

56% allowance (of decided)▏ art-unit average 45%
DISPOSITION107 / 84 / 0allowed / abandoned / pending
FIRST ACTION20.9 moart unit avg 30.5 mo
TOTAL PENDENCY43.4 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 eligibility54%art unit 56%2 pts
§102 — Anticipation (novelty)95%no art-unit benchmark
§103 — Obviousness96%art unit 91%+5 pts
§112 — Written description & definiteness86%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW74%allowance share
WITHOUT INTERVIEW34%+40 pt difference

A correlation, not proof that interviews cause allowances. Based on 105 decided applications with an interview and 86 without.

ART UNIT 2144
179 APPS · 95% ALLOWANCE
95% allowance (of decided)▏ art-unit average 58%
DISPOSITION170 / 9 / 0allowed / abandoned / pending
FIRST ACTION10.5 moart unit avg 27.2 mo
TOTAL PENDENCY19.7 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 eligibility18%art unit 45%27 pts
§102 — Anticipation (novelty)100%no art-unit benchmark
§103 — Obviousness74%art unit 92%18 pts
§112 — Written description & definiteness59%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW96%allowance share
WITHOUT INTERVIEW95%+1 pt difference

A correlation, not proof that interviews cause allowances. Based on 67 decided applications with an interview and 112 without.

ART UNIT 2118
145 APPS · 96% ALLOWANCE
96% allowance (of decided)▏ art-unit average 73%
DISPOSITION107 / 5 / 33allowed / abandoned / pending
FIRST ACTION22.9 moart unit avg 22.1 mo
TOTAL PENDENCY28.4 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 eligibility27%art unit 30%3 pts
§102 — Anticipation (novelty)99%no art-unit benchmark
§103 — Obviousness73%art unit 82%9 pts
§112 — Written description & definiteness63%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW97%allowance share
WITHOUT INTERVIEW95%+2 pt difference

A correlation, not proof that interviews cause allowances. Based on 33 decided applications with an interview and 79 without.

// FAQ

Questions about Examiner Mong-Shune Chung

  • What is Mong-Shune Chung's overall allowance rate?
    The examiner's allowance rate is 80% of decided applications, pooled across all art units.
  • How many art units does this examiner work in?
    Mong-Shune Chung has a record across 3 art units within TC 2100.
  • What is the range of allowance rates across the examiner's art units?
    Allowance rates across the art units range from 56% to 96%, reflecting variation within the technology center.
  • What does the pooled figure represent?
    The pooled allowance rate aggregates outcomes from all art units where the examiner has a substantial record and describes historical outcomes, not a prediction of any specific application.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Mong-Shune Chung 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: 515 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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