Prosecution Insights
Last updated: August 06, 2026

Chamberlain, Hrdlicka, White, Williams & Aughtry

5 pending office actions • 4 clients • 5 examiners • 5 art units • 0 of 5 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days

Quality Metrics (n=324 apps, methodology: how we score firms)

89.4%
Allowance Rate
n=324
+0.64σ
Allowance Rate (norm)
n=324
3.3
OAs to Allowance
n=203
-0.21σ
OAs to Allow (norm)
n=203
924 days
Time to Allowance
n=203
+4.8pp
Interview Lift
n=324
32.6%
RCE Rate
n=324
0.7%
Appeal Rate
n=324

Rejection Performance (% of received rejections ultimately overcome)

82.4%
§101 Overcome
n=34
86.9%
§102 Overcome
n=99
81.5%
§103 Overcome
n=146
85.2%
§112 Overcome
n=108

Specialization & Scale

G06F, C25B, C01B
Top CPC Subclasses
21%
Top-3 CPC Share
n=324
3
Practitioners
n=324
108.0
Apps / Practitioner
n=324

Portfolio Summary

5
Total Pending OAs
1
Non-Final OAs
4
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.

3
Overdue
0
Due this week
0
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 (3)

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.

4
Hard (80%)
1
Medium (20%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only2 (40%)
§101 + other2 (40%)
§103 only1 (20%)

Industry Mix

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

1
Life Sciences
20% of docket
0
Information Tech
0% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
4
Mechanical / Eng
80% 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.

50 h
Manual time on pending OAs
10 h
Time saved (low, 20%)
18 h
Time saved (mid, 35%)
0.4 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
KOLTONOW, ANDREW ROBERT 1 46.3% +33.8%
NGUYEN, LIZ P 1 61.1% +6.0%
MANEJWALA, ISMAIL A 1 48.1% +50.2%
KUNTZ, JEWEL A 1 73.1% +12.6%
PRATT, EHRIN LARMONT 1 15.3% +12.8%

Hard Cases (4)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.

App #TitleExaminerDue in
18598515 GENERATION OF VISUALIZATIONS BASED ON MACHINE LEARNING OUTPUTS NGUYEN, LIZ P 28d overdue
18274751 SYSTEMS AND METHODS FOR INFERRING ASSET TYPES WITH MACHINE LEARNING FOR COMMERCIAL REAL ESTATE PRATT, EHRIN LARMONT 9d overdue
18498732 METHOD AND SYSTEM FOR PROCESSING DATA USING MACHINE LEARNING MODELS MANEJWALA, ISMAIL A
18461799 VIN-BASED AUTO-CALIBRATION FOR TELEMATICS DEVICE KUNTZ, JEWEL A

Interview Candidates (4)

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 4 ordered by deadline are shown.

App #TitleExaminerDue in
18742822 METHOD AND APPARATUS FOR MAKING CARBON NANOMATERIALS USING A LOW-LITHIUM ELECTROLYTE KOLTONOW, ANDREW ROBERT 49d overdue
18274751 SYSTEMS AND METHODS FOR INFERRING ASSET TYPES WITH MACHINE LEARNING FOR COMMERCIAL REAL ESTATE PRATT, EHRIN LARMONT 9d overdue
18498732 METHOD AND SYSTEM FOR PROCESSING DATA USING MACHINE LEARNING MODELS MANEJWALA, ISMAIL A
18461799 VIN-BASED AUTO-CALIBRATION FOR TELEMATICS DEVICE KUNTZ, JEWEL A

Client Portfolio (4 clients)

Client (Assignee)Pending OAs
Altus Group 2
C2CNT 1
Geometris LP 1
Scryer, Inc. dba Reonomy 1

Top Art Units

Art UnitApps
17951
36961
36281
36661
36291

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
18742822 METHOD AND APPARATUS FOR MAKING CARBON NANOMATERIALS USING A LOW-LITHIUM ELECTROLYTE C2Cnt LLC KOLTONOW, ANDREW ROBERT 1795 §103 Non-Final OA 49d overdue Pending Jun 13, 2024
18598515 GENERATION OF VISUALIZATIONS BASED ON MACHINE LEARNING OUTPUTS Argus Software, Inc. NGUYEN, LIZ P 3696 §101§103 Final Rejection 28d overdue Pending Mar 07, 2024
18498732 METHOD AND SYSTEM FOR PROCESSING DATA USING MACHINE LEARNING MODELS Argus Software, Inc. MANEJWALA, ISMAIL A 3628 §101 Final Rejection Pending Oct 31, 2023
18461799 VIN-BASED AUTO-CALIBRATION FOR TELEMATICS DEVICE Geometris LP KUNTZ, JEWEL A 3666 §101§103 Final Rejection Pending Sep 06, 2023
18274751 SYSTEMS AND METHODS FOR INFERRING ASSET TYPES WITH MACHINE LEARNING FOR COMMERCIAL REAL ESTATE Scryer, Inc. Dba Reonomy PRATT, EHRIN LARMONT 3629 §101 Final Rejection 9d overdue Pending Jul 28, 2023

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