Prosecution Insights
Prosecution Insights
6 pending office actions • 1 client • 6 examiners • 6 art units • 0 of 6 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 |
|---|---|
| §103 only | 5 (83%) |
| §102 only | 1 (17%) |
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 |
|---|---|---|---|
| POE, KEVIN T | 1 | 39.6% | +16.1% |
| VIG, NARESH | 1 | 36.9% | +43.9% |
| OJIAKU, CHIKAODINAKA | 1 | 45.6% | +8.7% |
| IDIAKE, VINCENT I | 1 | 70.5% | +20.9% |
| SCHWARZENBERG, PAUL | 1 | 61.9% | +28.4% |
| HUDSON, MARLA LAVETTE | 1 | 56.4% | +25.7% |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18805688 | TECHNOLOGIES FOR MANAGING SMART CONTRACTS | IDIAKE, VINCENT I | 23d overdue |
| 18544521 | TECHNOLOGIES FOR EFFICIENTLY DETERMINING CREDIT LOSS SENSITIVITY TO MACROECONOMIC IMPACTS | HUDSON, MARLA LAVETTE | 29d |
| 18939821 | Technologies for Predictive Management of Customer Account Balance Attrition | VIG, NARESH | 53d |
| 18603447 | TECHNOLOGIES FOR EFFICIENTLY PROVIDING INSIGHTS FROM DATA SETS | SCHWARZENBERG, PAUL | 68d |
| 19034725 | Technologies for Real-Time Payments Monitoring | POE, KEVIN T | 75d |
| Client (Assignee) | Pending OAs |
|---|---|
| THE PNC FINANCIAL SERVICES GROUP, INC. | 6 |
| Art Unit | Apps |
|---|---|
| 3692 | 1 |
| 3622 | 1 |
| 3696 | 1 |
| 3698 | 1 |
| 3695 | 1 |
| 3694 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19034725 | Technologies for Real-Time Payments Monitoring | The PNC Financial Services Group, Inc. | POE, KEVIN T | 3692 | §102 | Non-Final OA | 75d | Pending | Jan 23, 2025 |
| 18939821 | Technologies for Predictive Management of Customer Account Balance Attrition | The PNC Financial Services Group, Inc. | VIG, NARESH | 3622 | §103 | Final Rejection | 53d | Pending | Nov 07, 2024 |
| 18939976 | Technologies for Prediction of Recurring Transactions | The PNC Financial Services Group, Inc. | OJIAKU, CHIKAODINAKA | 3696 | §103 | Non-Final OA | 71d overdue | Pending | Nov 07, 2024 |
| 18805688 | TECHNOLOGIES FOR MANAGING SMART CONTRACTS | The PNC Financial Services Group, Inc. | IDIAKE, VINCENT I | 3698 | §103 | Non-Final OA | 23d overdue | Pending | Aug 15, 2024 |
| 18603447 | TECHNOLOGIES FOR EFFICIENTLY PROVIDING INSIGHTS FROM DATA SETS | The PNC Financial Services Group, Inc. | SCHWARZENBERG, PAUL | 3695 | §103 | Final Rejection | 68d | Pending | Mar 13, 2024 |
| 18544521 | TECHNOLOGIES FOR EFFICIENTLY DETERMINING CREDIT LOSS SENSITIVITY TO MACROECONOMIC IMPACTS | The PNC Financial Services Group, Inc. | HUDSON, MARLA LAVETTE | 3694 | §103 | Final Rejection | 29d | Pending | Dec 19, 2023 |
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