Technology area: Computing & Software
11 pending office actions • 9 art units • 11 examiners • 0 of 11 (0%) have an AI response strategy ready • 24 patents granted in the last 365 days
The Bank of New York Mellon has 11 pending office actions in Computing & Software. The matters involve 11 distinct examiners and 9 distinct art units, creating broad examiner coverage with repeated art-unit assignments.
LIN, KATHERINE Y is the busiest examiner, with 1 pending office action. The listed workload does not show a dominant examiner, so counsel should prioritize application-specific prosecution histories and technical claim analysis.
The art-unit concentration supports centralized tracking of recurring software eligibility, prior-art, and claim-construction issues, while the examiner distribution cautions against uniform response language. A coordinated docket strategy can preserve consistency without obscuring differences in the individual records.
Based on the USPTO statutory response window for each pending office action. 4 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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. 4 of the docket's apps have a known mailing date.
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.
| Bucket | Cases |
|---|---|
| §101 only | 1 (9%) |
| §101 + other | 6 (55%) |
| §103 only | 2 (18%) |
| §112 only | 1 (9%) |
| Multi-statute (no §101) | 1 (9%) |
How the docket's pending cases split across USPTO tech-center bands.
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.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| LIN, KATHERINE Y | 1 | 91.0% | +6.4% |
| SETH, MANAV | 1 | 90.7% | +8.0% |
| APONTE, FRANCISCO JAVIER | 1 | 88.3% | +24.1% |
| ALAM, SHIHAB | 1 | — | — |
| SHELTON, GABRIELLA KANANI | 1 | 75.0% | +22.2% |
| GUTMAN, JENNIFER MARIE | 1 | 59.5% | +28.8% |
| YU, ARIEL J | 1 | 40.6% | +26.7% |
| WU, NICHOLAS S | 1 | 52.4% | +31.4% |
| BRACERO, ANDREW ANGEL | 1 | 82.4% | +37.5% |
| JABLON, ASHER H. | 1 | 41.8% | +42.6% |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 18979911 | METHODS AND SYSTEMS FOR ADAPTIVE, TEMPLATE-INDEPENDENT HANDWRITING EXTRACTION FROM IMAGES USING MACHINE LEARNING MODELS | SETH, MANAV | — |
| 18790613 | SYSTEM AND METHOD FOR TRANSLATING A FIRST CODING LANGUAGE INTO A SECOND CODING LANGUAGE | APONTE, FRANCISCO JAVIER | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 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 |
| 19017203 | SYSTEM AND METHODS FOR APPLICATION FAILOVER AUTOMATION | LIN, KATHERINE Y | 15d |
| 18623521 | SYSTEMS AND METHODS FOR FACILITATING DECOUPLED DISTRIBUTION FROM A MAINFRAME TO DISTRIBUTED PLATFORMS | ALAM, SHIHAB | — |
| 18601183 | SELF-HEALING AUTOMATIONS WITH SELF-SERVICE ARCHITECTURE | SHELTON, GABRIELLA KANANI | — |
| 18432668 | SYSTEMS AND METHODS FOR PREDICTING EVENTS AND DETECTING MISSED EVENTS | GUTMAN, JENNIFER MARIE | — |
| 17940159 | MAPPING ACTIVATION FUNCTIONS TO DATA FOR DEEP LEARNING | BRACERO, ANDREW ANGEL | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17884165 | RECURRENT NEURAL NETWORKS WITH GAUSSIAN MIXTURE BASED NORMALIZATION | JABLON, ASHER H. | 16d overdue |
| 18344541 | SYSTEM AND METHOD FOR BREAK RESOLUTION AUTOMATION | YU, ARIEL J | 14d |
| 18790613 | SYSTEM AND METHOD FOR TRANSLATING A FIRST CODING LANGUAGE INTO A SECOND CODING LANGUAGE | APONTE, FRANCISCO JAVIER | — |
| 18601183 | SELF-HEALING AUTOMATIONS WITH SELF-SERVICE ARCHITECTURE | SHELTON, GABRIELLA KANANI | — |
| 18432668 | SYSTEMS AND METHODS FOR PREDICTING EVENTS AND DETECTING MISSED EVENTS | GUTMAN, JENNIFER MARIE | — |
| 18166696 | DIRECTIONAL DRIVERS OF DEEP LEARNING MODELS BASED ON MODEL GRADIENTS | WU, NICHOLAS S | — |
| 17940159 | MAPPING ACTIVATION FUNCTIONS TO DATA FOR DEEP LEARNING | BRACERO, ANDREW ANGEL | — |
| Art Unit | Apps |
|---|---|
| 2113 | 2 |
| 2127 | 2 |
| 2672 | 1 |
| 2151 | 1 |
| 2197 | 1 |
| 2194 | 1 |
| 3627 | 1 |
| 2148 | 1 |
| 2126 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19017203 | SYSTEM AND METHODS FOR APPLICATION FAILOVER AUTOMATION | LIN, KATHERINE Y | 2113 | §101Other | Final Rejection | 15d | Pending | Jan 10, 2025 |
| 18979911 | METHODS AND SYSTEMS FOR ADAPTIVE, TEMPLATE-INDEPENDENT HANDWRITING EXTRACTION FROM IMAGES USING MACHINE LEARNING MODELS | SETH, MANAV | 2672 | §112Other | Non-Final OA | — | Pending | Dec 13, 2024 |
| 18790613 | SYSTEM AND METHOD FOR TRANSLATING A FIRST CODING LANGUAGE INTO A SECOND CODING LANGUAGE | APONTE, FRANCISCO JAVIER | 2151 | §103 | Non-Final OA | — | Pending | Jul 31, 2024 |
| 18623521 | SYSTEMS AND METHODS FOR FACILITATING DECOUPLED DISTRIBUTION FROM A MAINFRAME TO DISTRIBUTED PLATFORMS | ALAM, SHIHAB | 2197 | §101§103 | Non-Final OA | — | Pending | Apr 01, 2024 |
| 18601183 | SELF-HEALING AUTOMATIONS WITH SELF-SERVICE ARCHITECTURE | SHELTON, GABRIELLA KANANI | 2113 | §101§102§103 | Final Rejection | — | Pending | Mar 11, 2024 |
| 18432668 | SYSTEMS AND METHODS FOR PREDICTING EVENTS AND DETECTING MISSED EVENTS | GUTMAN, JENNIFER MARIE | 2194 | §101§103 | Final Rejection | — | Pending | Feb 05, 2024 |
| 18344541 | SYSTEM AND METHOD FOR BREAK RESOLUTION AUTOMATION | YU, ARIEL J | 3627 | §101§103§112 | Final Rejection | 14d | Pending | Jun 29, 2023 |
| 18166696 | DIRECTIONAL DRIVERS OF DEEP LEARNING MODELS BASED ON MODEL GRADIENTS | WU, NICHOLAS S | 2148 | §103 | Final Rejection | — | Pending | Feb 09, 2023 |
| 17940159 | MAPPING ACTIVATION FUNCTIONS TO DATA FOR DEEP LEARNING | BRACERO, ANDREW ANGEL | 2126 | §101§102§103 | Non-Final OA | — | Pending | Sep 08, 2022 |
| 17884165 | RECURRENT NEURAL NETWORKS WITH GAUSSIAN MIXTURE BASED NORMALIZATION | JABLON, ASHER H. | 2127 | §101§102§103§112 | Non-Final OA | 16d overdue | Pending | Aug 09, 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§112 | Final Rejection | 13d | Pending | Jan 27, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialThe Bank of New York Mellon has 11 pending office actions as of October 2026, spread across 9 art units and 11 examiners.
Katherine Y Lin has the most, with 1 of The Bank of New York Mellon's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
