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Examiner Haimei Jiang

TECH CENTER 2100 · 4 ART UNITS · 464 DECIDED APPLICATIONS · LAST ACTION JUN 2026
ALLOWANCE RATE = SHARE OF DECIDED APPLICATIONS (ALLOWED + ABANDONED); PENDING EXCLUDED
OVERALL ALLOWANCE RATE · POOLED ACROSS 4 ART UNITS

Examiner Haimei Jiang has allowed 256 of 464 decided applications (55%) in Computer Architecture, Software, and Information Security.

55% pooled allowance · benchmarked per art unit below
DATA UPDATED JUNE 25, 2026
AU 2145 · 57%AU 2142 · 54%AU 2173 · 0%AU 2175 · 83%
// READING THIS EXAMINER

What the data says.

Examiner Haimei Jiang maintains a pooled allowance rate of 55% across 464 decided applications in Technology Center 2100 (Computer Architecture, Software, and Information Security). This record spans four art units: 2142, 2145, 2173, and 2175. The examiner allowed 256 applications and abandoned 208 across these units. The allowance rate ranges from 54% to 57% among the individual art units in the examiner's portfolio, reflecting variation in outcomes across different classification areas within TC 2100.

// HOW TO READ THESE NUMBERS

How to read these numbers.

This pooled record aggregates data from four distinct art units under a single technology center. The aggregate allowance rate reflects historical outcomes across all units combined and describes the examiner's past record only. The range of 54% to 57% indicates that allowance rates vary by art unit but remain relatively close. Pooled figures are correlational summaries of past decisions and are not predictions about any specific application or art-unit assignment.

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 2145
244 APPS · 57% ALLOWANCE

Primarily examines artificial-intelligence and machine-learning methods.

57% allowance (of decided)▏ art-unit average 53%
DISPOSITION140 / 104 / 0allowed / abandoned / pending
FIRST ACTION21.5 moart unit avg 26.9 mo
TOTAL PENDENCY50.8 moart unit avg 45.3 mo
// REJECTION PROFILE
§101 — Subject-matter eligibility49% · art unit 42%
§102 — Anticipation (novelty)76%
§103 — Obviousness98% · art unit 93%
§112 — Written description & definiteness43%
// INTERVIEW SPLIT

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

WITH INTERVIEW66%allowance share
WITHOUT INTERVIEW42%+24 pt difference

A correlation, not proof that interviews cause allowances. Based on 154 decided applications with an interview and 90 without.

ART UNIT 2142
233 APPS · 54% ALLOWANCE

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

54% allowance (of decided)▏ art-unit average 45%
DISPOSITION106 / 89 / 38allowed / abandoned / pending
FIRST ACTION28.6 moart unit avg 30.5 mo
TOTAL PENDENCY50.4 moart unit avg 48.3 mo
// REJECTION PROFILE
§101 — Subject-matter eligibility51% · art unit 57%
§102 — Anticipation (novelty)63%
§103 — Obviousness90% · art unit 93%
§112 — Written description & definiteness29%
// INTERVIEW SPLIT

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

WITH INTERVIEW72%allowance share
WITHOUT INTERVIEW32%+40 pt difference

A correlation, not proof that interviews cause allowances. Based on 108 decided applications with an interview and 87 without.

ART UNIT 2173
13 APPS · 0% ALLOWANCE · LIMITED DATA
0% allowance (of decided)▏ art-unit average 49%
DISPOSITION0 / 13 / 0allowed / abandoned / pending
FIRST ACTION32.2 moart unit avg 25.2 mo
TOTAL PENDENCY39.9 moart unit avg 40.1 mo
// REJECTION PROFILE
§101 — Subject-matter eligibility55% · art unit 39%
§102 — Anticipation (novelty)82%
§103 — Obviousness91% · art unit 87%
§112 — Written description & definiteness27%

Based on 13 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.

ART UNIT 2175
12 APPS · 83% ALLOWANCE · LIMITED DATA

Primarily examines general computer details, and program control and execution.

83% allowance (of decided)▏ art-unit average 66%
DISPOSITION10 / 2 / 0allowed / abandoned / pending
FIRST ACTION15.1 moart unit avg 22.8 mo
TOTAL PENDENCY28.7 moart unit avg 37.8 mo
// REJECTION PROFILE
§101 — Subject-matter eligibility40% · art unit 30%
§102 — Anticipation (novelty)100%
§103 — Obviousness100% · art unit 87%
§112 — Written description & definiteness50%

Based on 12 applications — too small a sample to characterize the rejection mix reliably; shown for completeness.

// FAQ

Questions about Examiner Haimei Jiang

  • What is Examiner Jiang's overall allowance rate?
    The overall allowance rate is 55% among 464 decided applications across all art units in the examiner's record.
  • How many art units does Examiner Jiang cover?
    The examiner has a record in four art units: 2142, 2145, 2173, and 2175, all within TC 2100.
  • Does the allowance rate vary across Examiner Jiang's art units?
    Yes. The allowance rate ranges from 54% to 57% among the individual art units, indicating some variation across different subject areas within the technology center.
  • What does this pooled record tell me about a specific application?
    The pooled record is a historical summary and is not a prediction of the outcome of any specific application. Outcomes vary by art unit, invention details, and prosecution factors.
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METHODOLOGY & DISCLOSURES

Methodology. This page pools every art unit in which Examiner Haimei Jiang 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: 502 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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