Prosecution Insights
Prosecution Insights
12 pending office actions • 1 client • 12 examiners • 9 art units • 0 of 12 (0%) have an AI response strategy ready • 21 patents granted in the last 365 days
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.
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.
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 | 4 (33%) |
| §103 only | 5 (42%) |
| §102 only | 1 (8%) |
| No statute on record | 2 (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 |
|---|---|---|---|
| SIMPSON, DIONE N | 1 | 32.9% | +31.6% |
| GUNN, JEREMY L | 1 | 29.9% | +45.7% |
| HOSSAIN, KAMAL M | 1 | 81.8% | +26.5% |
| MANEJWALA, ISMAIL A | 1 | 48.1% | +49.6% |
| GOODMAN, MATTHEW PARKER | 1 | 20.3% | +29.1% |
| GREGG, MARY M | 1 | 14.0% | +14.1% |
| AQUINO, WYNUEL S | 1 | 78.9% | +20.8% |
| LEVEL, BARBARA HENRY | 1 | 71.1% | +28.0% |
| LE, JOHNNY TRAN | 1 | 57.1% | -10.0% |
| HOLZMACHER, DERICK J | 1 | 44.7% | +29.5% |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 18760100 | Cloud Based Logging Framework | HOSSAIN, KAMAL M | 53d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17073525 | Cognitive Error Recommendation Based on Log Data | TRIEU, EM N | 37d overdue |
| 19186737 | Demand Transference Machine Learning Model | GUNN, JEREMY L | — |
| 18645673 | Machine Learning Based Overbooking Limit Optimization | MANEJWALA, ISMAIL A | — |
| 18610745 | Machine Learning Based Overbooking Modeling | GOODMAN, MATTHEW PARKER | — |
| 18470555 | Machine Learning Model for Accounts Receivable Reliability Predictions | GREGG, MARY M | — |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 18760100 | Cloud Based Logging Framework | HOSSAIN, KAMAL M | 53d |
| 19079626 | Untitled | SIMPSON, DIONE N | — |
| 19186737 | Demand Transference Machine Learning Model | GUNN, JEREMY L | — |
| 18645673 | Machine Learning Based Overbooking Limit Optimization | MANEJWALA, ISMAIL A | — |
| 18610745 | Machine Learning Based Overbooking Modeling | GOODMAN, MATTHEW PARKER | — |
| 18470555 | Machine Learning Model for Accounts Receivable Reliability Predictions | GREGG, MARY M | — |
| 18456632 | Virtual Machine Firewall | AQUINO, WYNUEL S | — |
| 18233975 | Machine Learning Model Generation for Time Dependent Data | LEVEL, BARBARA HENRY | — |
| Client (Assignee) | Pending OAs |
|---|---|
| ORACLE INTERNATIONAL CORPORATION | 12 |
| Art Unit | Apps |
|---|---|
| 3628 | 2 |
| 2444 | 1 |
| 3695 | 1 |
| 2199 | 1 |
| 2142 | 1 |
| 2614 | 1 |
| 3625 | 1 |
| 2122 | 1 |
| 2128 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19079626 | Untitled | Oracle International Corporation | SIMPSON, DIONE N | — | Non-Final OA | — | Pending | ||
| 19186737 | Demand Transference Machine Learning Model | Oracle International Corporation | GUNN, JEREMY L | §103 | Non-Final OA | — | Pending | Apr 23, 2025 | |
| 18760100 | Cloud Based Logging Framework | Oracle International Corporation | HOSSAIN, KAMAL M | 2444 | §103 | Non-Final OA | 53d | Pending | Jul 01, 2024 |
| 18645673 | Machine Learning Based Overbooking Limit Optimization | Oracle International Corporation | MANEJWALA, ISMAIL A | 3628 | §101 | Final Rejection | — | Pending | Apr 25, 2024 |
| 18610745 | Machine Learning Based Overbooking Modeling | Oracle International Corporation | GOODMAN, MATTHEW PARKER | 3628 | §101 | Final Rejection | — | Pending | Mar 20, 2024 |
| 18470555 | Machine Learning Model for Accounts Receivable Reliability Predictions | Oracle International Corporation | GREGG, MARY M | 3695 | §101 | Final Rejection | — | Pending | Sep 20, 2023 |
| 18456632 | Virtual Machine Firewall | Oracle International Corporation | AQUINO, WYNUEL S | 2199 | §103 | Final Rejection | — | Pending | Aug 28, 2023 |
| 18233975 | Machine Learning Model Generation for Time Dependent Data | Oracle International Corporation | LEVEL, BARBARA HENRY | 2142 | — | Non-Final OA | — | Pending | Aug 15, 2023 |
| 18327264 | Visualizing and Filtering Graph Data | Oracle International Corporation | LE, JOHNNY TRAN | 2614 | §103 | Non-Final OA | 56d | Pending | Jun 01, 2023 |
| 18321831 | Multi-Product Inventory Assortment and Allocation Optimization | Oracle International Corporation | HOLZMACHER, DERICK J | 3625 | §103 | Non-Final OA | — | Pending | May 23, 2023 |
| 17877139 | Cloud Based Early Warning Drift Detection | Oracle International Corporation | STARKS, WILBERT L | 2122 | §102 | Non-Final OA | — | Pending | Jul 29, 2022 |
| 17073525 | Cognitive Error Recommendation Based on Log Data | Oracle International Corporation | TRIEU, EM N | 2128 | §101 | Final Rejection | 37d overdue | Pending | Oct 19, 2020 |
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