Prosecution Insights
Last updated: May 29, 2026

The Bank Of New York Mellon

9 pending office actions • 7 art units • 8 examiners • 0 of 9 (0%) have an AI response strategy ready • 17 patents granted in the last 365 days

Portfolio Summary

9
Total Pending OAs
6
Non-Final OAs
3
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 9 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

4
Overdue
0
Due this week
4
Due this month
0
Due in next 60 days
1
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. 9 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (4)Due ≤ 30 days (4)Due later (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.

1
Hard (11%)
7
Medium (78%)
1
Easy (11%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (11%)
§103 only6 (67%)
§102 only1 (11%)
§112 only1 (11%)

Industry Mix

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

0
Life Sciences
0% of docket
8
Information Tech
89% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
11% 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.

90 h
Manual time on pending OAs
18 h
Time saved (low, 20%)
31 h
Time saved (mid, 35%)
0.8 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
LIN, KATHERINE Y 2 91.2% +7.0%
SHIH, HAOSHIAN 1 69.0% +20.9%
PARCHER, DANIEL W 1 60.6% +59.4%
YU, ARIEL J 1 40.5% +27.2%
MORALES, PEDRO JESUS 1 66.7% +50.0%
JABLON, ASHER H. 1 43.0% +44.0%
STARKS, WILBERT L 1 75.5% +4.1%
KWON, JUN 1 39.4% +47.0%

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
18311346 COMPUTER NETWORK SYSTEM RECOVERY BASED ON NON-LINEAR DATA RECOVERY MODELS LIN, KATHERINE Y 16d overdue
19017203 SYSTEM AND METHODS FOR APPLICATION FAILOVER AUTOMATION LIN, KATHERINE Y 15d

Hard Cases (1)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
17720966 TIME SERIES DATA SET SIMULATION STARKS, WILBERT L 16d

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
17978537 SYSTEMS AND METHODS FOR FORECASTING UTILIZING LAGGED AND CORRELATED DATA SETS MORALES, PEDRO JESUS 45d overdue
18649444 USER INTERFACE LEVELING FOR RENDERING NON-LINEAR DATA BASED ON A COLUMNAR FORMAT SHIH, HAOSHIAN 17d overdue
17884165 RECURRENT NEURAL NETWORKS WITH GAUSSIAN MIXTURE BASED NORMALIZATION JABLON, ASHER H. 16d overdue
17159868 METHODS AND SYSTEMS FOR USING MACHINE LEARNING MODELS THAT GENERATE CLUSTER-SPECIFIC TEMPORAL REPRESENTATIONS FOR TIME SERIES DATA IN COMPUTER NETWORKS KWON, JUN 13d
18344541 SYSTEM AND METHOD FOR BREAK RESOLUTION AUTOMATION YU, ARIEL J 14d
18622126 RESOURCE ADDRESS SHORTENING PARCHER, DANIEL W 62d

Top Art Units

Art UnitApps
2113 2
2127 2
2179 1
2174 1
3627 1
2124 1
2122 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19017203 SYSTEM AND METHODS FOR APPLICATION FAILOVER AUTOMATION LIN, KATHERINE Y 2113 §103 Non-Final OA 15d Pending Jan 10, 2025
18649444 USER INTERFACE LEVELING FOR RENDERING NON-LINEAR DATA BASED ON A COLUMNAR FORMAT SHIH, HAOSHIAN 2179 §112 Non-Final OA 17d overdue Pending Apr 29, 2024
18622126 RESOURCE ADDRESS SHORTENING PARCHER, DANIEL W 2174 §103 Final Rejection 62d Pending Mar 29, 2024
18344541 SYSTEM AND METHOD FOR BREAK RESOLUTION AUTOMATION YU, ARIEL J 3627 §103 Non-Final OA 14d Pending Jun 29, 2023
18311346 COMPUTER NETWORK SYSTEM RECOVERY BASED ON NON-LINEAR DATA RECOVERY MODELS LIN, KATHERINE Y 2113 §102 Non-Final OA 16d overdue Pending May 03, 2023
17978537 SYSTEMS AND METHODS FOR FORECASTING UTILIZING LAGGED AND CORRELATED DATA SETS MORALES, PEDRO JESUS 2124 §103 Final Rejection 45d overdue Pending Nov 01, 2022
17884165 RECURRENT NEURAL NETWORKS WITH GAUSSIAN MIXTURE BASED NORMALIZATION JABLON, ASHER H. 2127 §103 Non-Final OA 16d overdue Pending Aug 09, 2022
17720966 TIME SERIES DATA SET SIMULATION STARKS, WILBERT L 2122 §101 Final Rejection 16d Pending Apr 14, 2022
17159868 METHODS AND SYSTEMS FOR USING MACHINE LEARNING MODELS THAT GENERATE CLUSTER-SPECIFIC TEMPORAL REPRESENTATIONS FOR TIME SERIES DATA IN COMPUTER NETWORKS KWON, JUN 2127 §103 Non-Final OA 13d Pending Jan 27, 2021

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