Prosecution Insights
Last updated: August 06, 2026

Hopewell Ip, P.C.

7 pending office actions • 1 client • 7 examiners • 4 art units • 0 of 7 (0%) have an AI response strategy ready

Quality Metrics (n=90 apps, methodology: how we score firms)

100.0%
Allowance Rate
n=90
+0.69σ
Allowance Rate (norm)
n=90
2.5
OAs to Allowance
n=37
-0.90σ
OAs to Allow (norm)
n=37
979 days
Time to Allowance
n=37
+0.0pp
Interview Lift
n=90
40.5%
RCE Rate
n=90
5.3%
Appeal Rate
n=90

Rejection Performance (% of received rejections ultimately overcome)

50.0%
§101 Overcome
n=20
§102 Overcome
n=9 (min 20)
57.7%
§103 Overcome
n=26
§112 Overcome
n=11 (min 20)

Specialization & Scale

G06N, G06F, G06V
Top CPC Subclasses
92%
Top-3 CPC Share
n=90
1
Practitioners
n=90
90.0
Apps / Practitioner
n=90

Portfolio Summary

7
Total Pending OAs
3
Non-Final OAs
3
Final Rejections
1
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

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

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.

3
Hard (43%)
2
Medium (29%)
2
Easy (29%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (14%)
§101 + other2 (29%)
§103 only2 (29%)
Double-patenting only2 (29%)

Industry Mix

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

0
Life Sciences
0% of docket
4
Information Tech
57% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
3
Business / Other
43% 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.

70 h
Manual time on pending OAs
14 h
Time saved (low, 20%)
24 h
Time saved (mid, 35%)
0.6 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
LOHARIKAR, ANAND R 1 69.6% +26.0%
MORRIS, JOHN J 1 61.0% +19.9%
BHATNAGAR, ANAND P 1 91.4% +2.3%
KIM, JONATHAN J 1 42.9% +66.7%
SHALU, ZELALEM W 1 31.0% +20.0%
MANG, VAN C 1 75.4% +27.5%
ALSHAHARI, SADIK AHMED 1 38.6% +40.6%

Quick Wins (1)

Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
18988381 WEAKLY SUPERVISED ACTION SELECTION LEARNING IN VIDEO BHATNAGAR, ANAND P

Hard Cases (3)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.

App #TitleExaminerDue in
18425822 SEMI-LOCAL MODEL IMPORTANCE IN FEATURE SPACE KIM, JONATHAN J
17969238 DISTANCE-BASED PAIR LOSS FOR COLLABORATIVE FILTERING SHALU, ZELALEM W
17485837 HORIZON-AWARE CUMULATIVE ACCESSIBILITY ESTIMATION MANG, VAN C

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
19058668 MULTI-TABLE DATA STORAGE WITH AUDITABLE DATA CHANGES MORRIS, JOHN J 73d overdue
17405939 TWO-HEADED ATTENTION FUSED AUTOENCODER FOR CONTEXT-AWARE RECOMMENDATION ALSHAHARI, SADIK AHMED 5d
19191790 RECOMMENDATION WITH NEIGHBOR-AWARE HYPERBOLIC EMBEDDING LOHARIKAR, ANAND R
18425822 SEMI-LOCAL MODEL IMPORTANCE IN FEATURE SPACE KIM, JONATHAN J
17969238 DISTANCE-BASED PAIR LOSS FOR COLLABORATIVE FILTERING SHALU, ZELALEM W
17485837 HORIZON-AWARE CUMULATIVE ACCESSIBILITY ESTIMATION MANG, VAN C

Client Portfolio (1 client)

Client (Assignee)Pending OAs
THE TORONTO-DOMINION BANK 7

Top Art Units

Art UnitApps
21521
21451
21261
21211

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
19191790 RECOMMENDATION WITH NEIGHBOR-AWARE HYPERBOLIC EMBEDDING The Toronto-Dominion Bank LOHARIKAR, ANAND R DP Non-Final OA Pending Apr 28, 2025
19058668 MULTI-TABLE DATA STORAGE WITH AUDITABLE DATA CHANGES The Toronto-Dominion Bank MORRIS, JOHN J 2152 §103 Final Rejection 73d overdue Pending Feb 20, 2025
18988381 WEAKLY SUPERVISED ACTION SELECTION LEARNING IN VIDEO The Toronto-Dominion Bank BHATNAGAR, ANAND P DP Non-Final OA Pending Dec 19, 2024
18425822 SEMI-LOCAL MODEL IMPORTANCE IN FEATURE SPACE The Toronto-Dominion Bank KIM, JONATHAN J §101§103§112 Non-Final OA Pending Jan 29, 2024
17969238 DISTANCE-BASED PAIR LOSS FOR COLLABORATIVE FILTERING The Toronto-Dominion Bank SHALU, ZELALEM W 2145 §101§103§112 Final Rejection Pending Oct 19, 2022
17485837 HORIZON-AWARE CUMULATIVE ACCESSIBILITY ESTIMATION The Toronto-Dominion Bank MANG, VAN C 2126 §101 Non-Final OA Pending Sep 27, 2021
17405939 TWO-HEADED ATTENTION FUSED AUTOENCODER FOR CONTEXT-AWARE RECOMMENDATION The Toronto-Dominion Bank ALSHAHARI, SADIK AHMED 2121 §103 Final Rejection 5d Pending Aug 18, 2021

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