Prosecution Insights
Last updated: October 04, 2026

Kaufman & Canoles, P.C.

Technology area: Transportation, E-Commerce & Mechanical Systems

10 pending office actions • 4 clients • 8 examiners • 5 art units • 0 of 10 (0%) have an AI response strategy ready

Analysis

Kaufman & Canoles, P.C. operates in the technology area of Transportation, E-Commerce & Mechanical Systems. The firm has managed 139 career applications, resulting in a resolved allowance rate pct of 96.84. This success rate is supported by a current workload of 7 pending office actions. The 96.84 resolved allowance rate pct indicates that nearly all resolved applications handled by the firm in this sector result in a grant. The 7 pending office actions are fewer than the 139 career applications.

The firm averages 2.28 office actions per allowance. This metric suggests that the firm often secures patent grants through its prosecution efforts. For a firm with 139 career applications, these figures demonstrate its prosecution results within its technical domain. The 2.28 avg office actions per allowance provides an expectation for the typical duration of the examination process. Practitioners can use the resolved allowance rate pct and the avg office actions per allowance to set expectations for the prosecution cycle.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Quality Metrics (n=139 apps, methodology: how we score firms)

96.8%
Allowance Rate
n=139
+0.64σ
Allowance Rate (norm)
n=139
2.3
OAs to Allowance
n=92
-0.99σ
OAs to Allow (norm)
n=92
833 days
Time to Allowance
n=92
+1.8pp
Interview Lift
n=139
27.4%
RCE Rate
n=139
2.1%
Appeal Rate
n=139

Rejection Performance (% of received rejections ultimately overcome)

57.1%
§101 Overcome
n=21
74.2%
§102 Overcome
n=31
74.5%
§103 Overcome
n=51
73.5%
§112 Overcome
n=34

Specialization & Scale

G06Q, G07G, G06F
Top CPC Subclasses
34%
Top-3 CPC Share
n=139
1
Practitioners
n=139
139.0
Apps / Practitioner
n=139

Portfolio Summary

10
Total Pending OAs
5
Non-Final OAs
5
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.

1
Overdue
0
Due this week
1
Due this month
1
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 (1)Due ≤ 30 days (1)Due ≤ 60 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.

7
Hard (70%)
3
Medium (30%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (10%)
§101 + other4 (40%)
§103 only2 (20%)
Double-patenting + other1 (10%)
Multi-statute (no §101)2 (20%)

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
0
Communications
0% of docket
0
Semiconductors
0% of docket
9
Mechanical / Eng
90% of docket
1
Business / Other
10% 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.

100 h
Manual time on pending OAs
20 h
Time saved (low, 20%)
35 h
Time saved (mid, 35%)
0.9 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
WILDER, ANDREW H 2 62.6% +58.5%
TUTOR, AARON N 2 33.9% +32.5%
ALDERSON, ANNE-MARIE K 1 32.4% +40.8%
GLASS, RUSSELL S 1 71.5% +20.7%
SINGH, RUPANGINI 1 35.4% +52.2%
HOROWITZ, NOAH NMN 1 74.0% +27.5%
SHAPIRO, JEFFREY ALAN 1 55.1% +15.8%
GOODMAN, MATTHEW PARKER 1 20.2% +30.3%

Hard Cases (7)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.

App #TitleExaminerDue in
18217282 OBJECT IDENTIFICATION BASED ON A PARTIAL VISUAL OBJECT IDENTIFIER CODE SCAN AT POINT OF SALE TUTOR, AARON N 79d overdue
17478082 METHOD AND APPARATUS FOR A UNIVERSAL CONNECT CORPORATE TRAVEL MANAGEMENT PLATFORM GOODMAN, MATTHEW PARKER 48d
19320613 AUTOMATED ALERT SYSTEM ALDERSON, ANNE-MARIE K —
19095453 ITEM DETECTION POINT OF SALE SYSTEM WILDER, ANDREW H —
19095373 ITEM DETECTION POINT OF SALE SYSTEM WILDER, ANDREW H —
18649048 SYSTEM AND METHOD FOR PREDICTING DEMAND AT AN AIRLINE LEVEL FOR PROCURING ACCURATE NUMBER AND TYPE OF VEHICLES SINGH, RUPANGINI —
18126831 CONVEYOR OPERATION FAULT DETECTION BY A POINT OF SALE SYSTEM SHAPIRO, JEFFREY ALAN —

Interview Candidates (10)

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 8 ordered by deadline are shown.

App #TitleExaminerDue in
18217282 OBJECT IDENTIFICATION BASED ON A PARTIAL VISUAL OBJECT IDENTIFIER CODE SCAN AT POINT OF SALE TUTOR, AARON N 79d overdue
18441006 SYSTEMS AND METHODS OF SECURING A PORTAL HOROWITZ, NOAH NMN 28d
17478082 METHOD AND APPARATUS FOR A UNIVERSAL CONNECT CORPORATE TRAVEL MANAGEMENT PLATFORM GOODMAN, MATTHEW PARKER 48d
19320613 AUTOMATED ALERT SYSTEM ALDERSON, ANNE-MARIE K —
19095453 ITEM DETECTION POINT OF SALE SYSTEM WILDER, ANDREW H —
19095373 ITEM DETECTION POINT OF SALE SYSTEM WILDER, ANDREW H —
19081072 Expandable Bagging System GLASS, RUSSELL S —
18893528 ITEM DETECTION POINT OF SALE SYSTEM TUTOR, AARON N —

Client Portfolio (4 clients)

Top Art Units

Art UnitApps
36274
36282
36821
36751
36191

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
19320613 AUTOMATED ALERT SYSTEM Joint Technology Solutions, Inc. ALDERSON, ANNE-MARIE K 3682 §101§103§112 Final Rejection — Pending Sep 05, 2025
19095453 ITEM DETECTION POINT OF SALE SYSTEM Toshiba Global Commerce Solutions, Inc. WILDER, ANDREW H 3627 §101§103 Non-Final OA — Pending Mar 31, 2025
19095373 ITEM DETECTION POINT OF SALE SYSTEM Toshiba Global Commerce Solutions, Inc. WILDER, ANDREW H 3627 §101§103 Non-Final OA — Pending Mar 31, 2025
19081072 Expandable Bagging System Toshiba Global Commerce Solutions, Inc. GLASS, RUSSELL S §112DP Non-Final OA — Pending Mar 17, 2025
18893528 ITEM DETECTION POINT OF SALE SYSTEM Toshiba Global Commerce Solutions, Inc. TUTOR, AARON N 3627 §103 Final Rejection — Pending Sep 23, 2024
18649048 SYSTEM AND METHOD FOR PREDICTING DEMAND AT AN AIRLINE LEVEL FOR PROCURING ACCURATE NUMBER AND TYPE OF VEHICLES Airlines Reporting Corporation SINGH, RUPANGINI 3628 §101 Final Rejection — Pending Apr 29, 2024
18441006 SYSTEMS AND METHODS OF SECURING A PORTAL Jamie Lynne Miller HOROWITZ, NOAH NMN 3675 §103 Final Rejection 28d Pending Feb 14, 2024
18217282 OBJECT IDENTIFICATION BASED ON A PARTIAL VISUAL OBJECT IDENTIFIER CODE SCAN AT POINT OF SALE Toshiba Global Commerce Solutions, Inc. TUTOR, AARON N 3627 §102§103 Non-Final OA 79d overdue Pending Jun 30, 2023
18126831 CONVEYOR OPERATION FAULT DETECTION BY A POINT OF SALE SYSTEM Toshiba Global Commerce Solutions, Inc. SHAPIRO, JEFFREY ALAN 3619 §103§112 Non-Final OA — Pending Mar 27, 2023
17478082 METHOD AND APPARATUS FOR A UNIVERSAL CONNECT CORPORATE TRAVEL MANAGEMENT PLATFORM Airlines Reporting Corporation GOODMAN, MATTHEW PARKER 3628 §101§103 Final Rejection 48d Pending Sep 17, 2021

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