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Examiner Marzia T Monty

TECH CENTER 2100 · 3 ART UNITS · 184 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 3 ART UNITS
72%vs 71% weighted peer average+1 pt

Examiner Marzia T Monty has allowed 132 of 184 decided applications in Computer Architecture, Software, and Information Security.

allowed132abandoned52pending21· pending excluded from the rate
The weighted peer average (71%) is each art unit's average below, weighted by this examiner's applications in it (3 art units).
DATA UPDATED JULY 14, 2026
AU 2117 · 68%AU 2118 · 77%AU 2126 · 66%
// READING THIS EXAMINER

What the data says.

Marzia T Monty maintains a public record across 3 art units in Technology Center 2100 (Computer Architecture, Software, and Information Security). Across hundreds of decided applications, the examiner's allowance rate is 72%. This rate represents the share of applications that were allowed among all decided applications (allowed and abandoned; pending applications are excluded). The allowance rate varies across the examiner's art units, ranging from 66% to 77%. This range reflects differences in the composition and outcomes of applications across the distinct art units in which the examiner works.

// HOW TO READ THESE NUMBERS

How to read these numbers.

A pooled record aggregates the examiner's outcomes across multiple art units into a single profile. The overall allowance rate and range reflect historical decisions on applications that have been concluded. These figures describe the past record and are correlational summaries, not predictions about any specific application's outcome. Applicants may review the examiner's per-art-unit detail separately to see how the rate varies within individual art units.

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 2117
84 APPS · 68% ALLOWANCE

Primarily examines control or regulating systems.

68% allowance (of decided)▏ art-unit average 74%
DISPOSITION43 / 20 / 21allowed / abandoned / pending
FIRST ACTION27.1 moart unit avg 20.2 mo
TOTAL PENDENCY43.4 moart unit avg 33.2 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 33%+24 pts
§102 — Anticipation (novelty)63%no art-unit benchmark
§103 — Obviousness84%art unit 78%+6 pts
§112 — Written description & definiteness76%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW87%allowance share
WITHOUT INTERVIEW50%+37 pt difference

A correlation, not proof that interviews cause allowances. Based on 31 decided applications with an interview and 32 without.

ART UNIT 2118
83 APPS · 77% ALLOWANCE
77% allowance (of decided)▏ art-unit average 73%
DISPOSITION64 / 19 / 0allowed / abandoned / pending
FIRST ACTION22.2 moart unit avg 22.1 mo
TOTAL PENDENCY35.9 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 eligibility39%art unit 30%+9 pts
§102 — Anticipation (novelty)55%no art-unit benchmark
§103 — Obviousness96%art unit 82%+14 pts
§112 — Written description & definiteness70%no art-unit benchmark
// INTERVIEW SPLIT

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

WITH INTERVIEW92%allowance share
WITHOUT INTERVIEW65%+27 pt difference

A correlation, not proof that interviews cause allowances. Based on 37 decided applications with an interview and 46 without.

ART UNIT 2126
38 APPS · 66% ALLOWANCE · LIMITED DATA

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

66% allowance (of decided)▏ art-unit average 63%
DISPOSITION25 / 13 / 0allowed / abandoned / pending
FIRST ACTION24.1 moart unit avg 29.4 mo
TOTAL PENDENCY35.5 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 eligibility36%art unit 53%17 pts
§102 — Anticipation (novelty)48%no art-unit benchmark
§103 — Obviousness94%art unit 88%+6 pts
§112 — Written description & definiteness67%no art-unit benchmark

Based on 38 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.

// FAQ

Questions about Examiner Marzia T Monty

  • What is Marzia T Monty's overall allowance rate?
    The examiner's allowance rate is 72% across hundreds of decided applications in TC 2100. This represents the share of applications that were allowed among all applications that have been decided (allowed or abandoned).
  • How many art units does this examiner work in?
    Marzia T Monty has a public record across 3 art units in the technology center.
  • Does the allowance rate vary across art units?
    Yes. The allowance rate ranges from 66% to 77% across the examiner's art units. Individual art-unit detail is available separately.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Marzia T Monty 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: 205 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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