Prosecution Insights
Last updated: July 17, 2026

Entropy Matters LLC

8 pending office actions • 1 client • 8 examiners • 8 art units • 0 of 8 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days

Quality Metrics (n=992 apps, methodology: how we score firms)

92.2%
Allowance Rate
n=992
+0.55σ
Allowance Rate (norm)
n=992
3.4
OAs to Allowance
n=696
+0.20σ
OAs to Allow (norm)
n=696
1209 days
Time to Allowance
n=696
+2.5pp
Interview Lift
n=992
23.2%
RCE Rate
n=992
9.8%
Appeal Rate
n=992

Rejection Performance (% of received rejections ultimately overcome)

100.0%
§101 Overcome
n=24
88.7%
§102 Overcome
n=62
88.2%
§103 Overcome
n=237
90.0%
§112 Overcome
n=30

Specialization & Scale

G01N, H10P, H01L
Top CPC Subclasses
37%
Top-3 CPC Share
n=992
1
Practitioners
n=992
992.0
Apps / Practitioner
n=992

Portfolio Summary

8
Total Pending OAs
5
Non-Final OAs
3
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

2
Overdue
0
Due this week
1
Due this month
0
Due in next 60 days
0
Due later

Deadline Fire Line

Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (2)Due ≤ 30 days (1)

Case Difficulty Mix

Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.

0
Hard (0%)
6
Medium (75%)
0
Easy (0%)
2
Unknown (25%)

Rejection Statute Mix

BucketCases
§103 only6 (75%)
No statute on record2 (25%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
0
Information Tech
0% of docket
4
Communications
50% of docket
4
Semiconductors
50% of docket
0
Mechanical / Eng
0% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.

80 h
Manual time on pending OAs
16 h
Time saved (low, 20%)
28 h
Time saved (mid, 35%)
0.7 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
BOYAR, NOAH WILLIAM 1 100.0% +0.0%
COLEMAN, STEPHEN P 1 84.3% +11.2%
DHOOGE, DEVIN J 1 71.3% +32.5%
BRYANT, REBECCA CAROLE 1 64.4% +32.5%
TRICE III, WILLIAM CLARENCE 1 78.7% +33.2%
STEAR, RYAN JAMES 1 100.0% +0.0%
LU, ZHIYU 1 49.2% +14.0%
BENITEZ ROSARIO, JOSHUA 1 71.2% +18.8%

Quick Wins (2)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18353098 METROLOGY SAMPLING PLANS FOR ONLY OUT OF SPECIFICATION DETECTION STEAR, RYAN JAMES 1d overdue
18735144 COMBINING DEEP LEARNING MODEL HIDDEN LAYER OUTPUT WITH SPECIMEN-SPECIFIC INPUT FOR DEFECT CLASSIFICATION OR ANOTHER SEMICONDUCTOR APPLICATION BOYAR, NOAH WILLIAM

Interview Candidates (6)

Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 6 ordered by deadline are shown.

App #TitleExaminerDue in
17834767 SENSORS, IMAGING SYSTEMS, AND METHODS FOR FORMING A SENSOR BENITEZ ROSARIO, JOSHUA 5d overdue
18178528 DEEP LEARNING MODEL-BASED ALIGNMENT FOR SEMICONDUCTOR APPLICATIONS LU, ZHIYU 20d
18732473 DEFECT SYNTHESIS AND DETECTION VIA DEFECT GENERATIVE PRE-TRAINED TRANSFORMER FOR SEMICONDUCTOR APPLICATIONS COLEMAN, STEPHEN P
18603002 DEEP LEARNING MODEL DIAGNOSTICS TOOLS USING STACKED IMAGES DHOOGE, DEVIN J
18434747 OBLIQUE UNIFORM ILLUMINATION FOR IMAGING SYSTEMS BRYANT, REBECCA CAROLE
18404530 IMAGE SENSORS WITH A TUNABLE FLOATING DIFFUSION STRUCTURE TRICE III, WILLIAM CLARENCE

Client Portfolio (1 client)

Client (Assignee)Pending OAs
KLA 8

Top Art Units

Art UnitApps
26691
26751
26771
28771
28931
28571
26651
28151

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
18735144 COMBINING DEEP LEARNING MODEL HIDDEN LAYER OUTPUT WITH SPECIMEN-SPECIFIC INPUT FOR DEFECT CLASSIFICATION OR ANOTHER SEMICONDUCTOR APPLICATION Kla Corporation BOYAR, NOAH WILLIAM 2669 §103 Final Rejection Pending Jun 05, 2024
18732473 DEFECT SYNTHESIS AND DETECTION VIA DEFECT GENERATIVE PRE-TRAINED TRANSFORMER FOR SEMICONDUCTOR APPLICATIONS Kla Corporation COLEMAN, STEPHEN P 2675 Non-Final OA Pending Jun 03, 2024
18603002 DEEP LEARNING MODEL DIAGNOSTICS TOOLS USING STACKED IMAGES Kla Corporation DHOOGE, DEVIN J 2677 §103 Final Rejection Pending Mar 12, 2024
18434747 OBLIQUE UNIFORM ILLUMINATION FOR IMAGING SYSTEMS Kla Corporation BRYANT, REBECCA CAROLE 2877 §103 Non-Final OA Pending Feb 06, 2024
18404530 IMAGE SENSORS WITH A TUNABLE FLOATING DIFFUSION STRUCTURE Kla Corporation TRICE III, WILLIAM CLARENCE 2893 Non-Final OA Pending Jan 04, 2024
18353098 METROLOGY SAMPLING PLANS FOR ONLY OUT OF SPECIFICATION DETECTION Kla Corporation STEAR, RYAN JAMES 2857 §103 Final Rejection 1d overdue Pending Jul 16, 2023
18178528 DEEP LEARNING MODEL-BASED ALIGNMENT FOR SEMICONDUCTOR APPLICATIONS Kla Corporation LU, ZHIYU 2665 §103 Non-Final OA 20d Pending Mar 05, 2023
17834767 SENSORS, IMAGING SYSTEMS, AND METHODS FOR FORMING A SENSOR Kla Corporation BENITEZ ROSARIO, JOSHUA 2815 §103 Non-Final OA 5d overdue Pending Jun 07, 2022

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