Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
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 | 3 (75%) |
| §102 only | 1 (25%) |
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 |
|---|---|---|---|
| SHARON, AYAL I | 1 | 43.1% | +28.7% |
| OBAID, HAMZEH M | 1 | 38.9% | +21.8% |
| HENRY, MATTHEW D | 1 | 30.2% | +20.9% |
| SHORTER, RASHIDA R | 1 | 17.8% | +25.7% |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 18089959 | SYSTEMS AND METHODS FOR COLLECTION CUSTOMER RANKING | SHORTER, RASHIDA R | 4d overdue |
| 18474429 | MACHINE LEARNING BASED (ML-BASED) COMPUTING METHOD AND SYSTEM FOR FORECASTING FINANCIAL TRANSACTIONS | OBAID, HAMZEH M | 40d |
| 18474423 | MACHINE LEARNING BASED (ML-BASED) COMPUTING METHOD AND SYSTEM FOR DISTRIBUTING FINANCIAL TRANSACTIONS | HENRY, MATTHEW D | 49d |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18089959 | SYSTEMS AND METHODS FOR COLLECTION CUSTOMER RANKING | SHORTER, RASHIDA R | 4d overdue |
| 18398224 | MACHINE LEARNING BASED SYSTEMS AND METHODS FOR MAPPING FINANCIAL INFORMATION | SHARON, AYAL I | 21d |
| 18474429 | MACHINE LEARNING BASED (ML-BASED) COMPUTING METHOD AND SYSTEM FOR FORECASTING FINANCIAL TRANSACTIONS | OBAID, HAMZEH M | 40d |
| 18474423 | MACHINE LEARNING BASED (ML-BASED) COMPUTING METHOD AND SYSTEM FOR DISTRIBUTING FINANCIAL TRANSACTIONS | HENRY, MATTHEW D | 49d |
| Art Unit | Apps |
|---|---|
| 3695 | 1 |
| 3624 | 1 |
| 3625 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18398224 | MACHINE LEARNING BASED SYSTEMS AND METHODS FOR MAPPING FINANCIAL INFORMATION | SHARON, AYAL I | 3695 | §102 | Non-Final OA | 21d | Pending | Dec 28, 2023 |
| 18474429 | MACHINE LEARNING BASED (ML-BASED) COMPUTING METHOD AND SYSTEM FOR FORECASTING FINANCIAL TRANSACTIONS | OBAID, HAMZEH M | 3624 | §101 | Non-Final OA | 40d | Pending | Sep 26, 2023 |
| 18474423 | MACHINE LEARNING BASED (ML-BASED) COMPUTING METHOD AND SYSTEM FOR DISTRIBUTING FINANCIAL TRANSACTIONS | HENRY, MATTHEW D | 3625 | §101 | Non-Final OA | 49d | Pending | Sep 26, 2023 |
| 18089959 | SYSTEMS AND METHODS FOR COLLECTION CUSTOMER RANKING | SHORTER, RASHIDA R | 3626 | §101 | Non-Final OA | 4d overdue | Pending | Dec 28, 2022 |
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