Prosecution Insights
Prosecution Insights
7 pending office actions • 6 art units • 6 examiners • 0 of 7 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (14%) |
| §101 + other | 2 (29%) |
| §103 only | 4 (57%) |
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 |
|---|---|---|---|
| JACOB, WILLIAM J | 2 | 48.9% | +34.9% |
| YEN, SYLING | 1 | 74.9% | +28.0% |
| COBB, MATTHEW | 1 | 72.4% | +35.9% |
| MUHEBBULLAH, SAJEDA | 1 | 29.8% | +34.9% |
| MOLES, JAMES P | 1 | 61.0% | +38.5% |
| PUTTAIAH, ASHA | 1 | 21.4% | +22.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18324541 | INTELLIGENT RECOMMENDATIONS FOR DYNAMIC POLICIES USED IN REAL-TIME TRANSACTIONS | JACOB, WILLIAM J | 210d overdue |
| 18470119 | AUTOMATIC DATA ENTRY FOR FORM DATA STRUCTURES USING APPLICATION PROGRAMMING INTERFACES | MUHEBBULLAH, SAJEDA | 7d |
| 19000234 | CANARY CARD IDENTIFIERS FOR REAL-TIME USAGE ALERTS | JACOB, WILLIAM J | — |
| 17560053 | DEDUPLICATION OF ACCOUNTS USING ACCOUNT DATA COLLISION DETECTED BY MACHINE LEARNING MODELS | PUTTAIAH, ASHA | — |
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 |
|---|---|---|---|
| 18324541 | INTELLIGENT RECOMMENDATIONS FOR DYNAMIC POLICIES USED IN REAL-TIME TRANSACTIONS | JACOB, WILLIAM J | 210d overdue |
| 18470119 | AUTOMATIC DATA ENTRY FOR FORM DATA STRUCTURES USING APPLICATION PROGRAMMING INTERFACES | MUHEBBULLAH, SAJEDA | 7d |
| 19239767 | SERVERLESS DATA INGESTION FOR TRANSFORMING AND DELIVERING DATA IN SYSTEM ENDPOINTS | YEN, SYLING | — |
| 19000234 | CANARY CARD IDENTIFIERS FOR REAL-TIME USAGE ALERTS | JACOB, WILLIAM J | — |
| 18487597 | DATA TRACING IDENTIFIERS FOR TRACKING DATA FLOW THROUGH A DATA MODEL AND COMPUTING SERVICES | COBB, MATTHEW | — |
| 18332254 | SYSTEM ALERT MODELING BASED ON HYPERGRAPH ALERT CLUSTERS | MOLES, JAMES P | — |
| 17560053 | DEDUPLICATION OF ACCOUNTS USING ACCOUNT DATA COLLISION DETECTED BY MACHINE LEARNING MODELS | PUTTAIAH, ASHA | — |
| Art Unit | Apps |
|---|---|
| 3696 | 2 |
| 2166 | 1 |
| 3661 | 1 |
| 2174 | 1 |
| 2494 | 1 |
| 3691 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19239767 | SERVERLESS DATA INGESTION FOR TRANSFORMING AND DELIVERING DATA IN SYSTEM ENDPOINTS | YEN, SYLING | 2166 | §103 | Non-Final OA | — | Pending | Jun 16, 2025 |
| 19000234 | CANARY CARD IDENTIFIERS FOR REAL-TIME USAGE ALERTS | JACOB, WILLIAM J | 3696 | §101§102§103Other | Non-Final OA | — | Pending | Dec 23, 2024 |
| 18487597 | DATA TRACING IDENTIFIERS FOR TRACKING DATA FLOW THROUGH A DATA MODEL AND COMPUTING SERVICES | COBB, MATTHEW | 3661 | §103 | Final Rejection | — | Pending | Oct 16, 2023 |
| 18470119 | AUTOMATIC DATA ENTRY FOR FORM DATA STRUCTURES USING APPLICATION PROGRAMMING INTERFACES | MUHEBBULLAH, SAJEDA | 2174 | §103 | Non-Final OA | 7d | Pending | Sep 19, 2023 |
| 18332254 | SYSTEM ALERT MODELING BASED ON HYPERGRAPH ALERT CLUSTERS | MOLES, JAMES P | 2494 | §103 | Non-Final OA | — | Pending | Jun 09, 2023 |
| 18324541 | INTELLIGENT RECOMMENDATIONS FOR DYNAMIC POLICIES USED IN REAL-TIME TRANSACTIONS | JACOB, WILLIAM J | 3696 | §101 | Final Rejection | 210d overdue | Pending | May 26, 2023 |
| 17560053 | DEDUPLICATION OF ACCOUNTS USING ACCOUNT DATA COLLISION DETECTED BY MACHINE LEARNING MODELS | PUTTAIAH, ASHA | 3691 | §101§103§112 | Final Rejection | — | Pending | Dec 22, 2021 |
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