5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 7 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 + other | 3 (60%) |
| Double-patenting only | 1 (20%) |
| Multi-statute (no §101) | 1 (20%) |
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 |
|---|---|---|---|
| MILLER, ALAN S | 1 | 70.7% | +26.3% |
| SMITH, LINDSEY B | 1 | 51.5% | +54.5% |
| ZONG, RUOLEI | 1 | 86.8% | +12.1% |
| DANG, CHRISTINE | 1 | 49.1% | +50.3% |
| RIVERA GONZALEZ, IVONNEMARY | 1 | 4.7% | +7.9% |
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 |
|---|---|---|---|
| 18419270 | SYSTEMS AND METHODS FOR OBJECTIVE-BASED SCORING USING MACHINE LEARNING TECHNIQUES | ZONG, RUOLEI | 49d overdue |
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 |
|---|---|---|---|
| 17572581 | SYSTEMS AND METHODS FOR BIG-DATA RESOURCE MANAGEMENT | RIVERA GONZALEZ, IVONNEMARY | 42d overdue |
| 19044385 | DYNAMIC DETERMINATION OF THRESHOLD ROUTING VALUE USING MACHINE-LEARNING MODELS | MILLER, ALAN S | — |
| 18932362 | HYBRID INTERFACE WITH AI-ENABLED SYSTEM FOR LIVE EVENT TICKET BOOKING | SMITH, LINDSEY B | — |
| 18157004 | LONGITUDINAL SYSTEM USING NON-FUNGIBLE TOKENS THAT EVOLVE OVER TIME | DANG, CHRISTINE | — |
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 |
|---|---|---|---|
| 18419270 | SYSTEMS AND METHODS FOR OBJECTIVE-BASED SCORING USING MACHINE LEARNING TECHNIQUES | ZONG, RUOLEI | 49d overdue |
| 19044385 | DYNAMIC DETERMINATION OF THRESHOLD ROUTING VALUE USING MACHINE-LEARNING MODELS | MILLER, ALAN S | — |
| 18932362 | HYBRID INTERFACE WITH AI-ENABLED SYSTEM FOR LIVE EVENT TICKET BOOKING | SMITH, LINDSEY B | — |
| 18157004 | LONGITUDINAL SYSTEM USING NON-FUNGIBLE TOKENS THAT EVOLVE OVER TIME | DANG, CHRISTINE | — |
| Art Unit | Apps |
|---|---|
| 2409 | 1 |
| 3688 | 1 |
| 2441 | 1 |
| 3698 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19044385 | DYNAMIC DETERMINATION OF THRESHOLD ROUTING VALUE USING MACHINE-LEARNING MODELS | MILLER, ALAN S | 2409 | §101§102§112 | Non-Final OA | — | Pending | Feb 03, 2025 |
| 18932362 | HYBRID INTERFACE WITH AI-ENABLED SYSTEM FOR LIVE EVENT TICKET BOOKING | SMITH, LINDSEY B | 3688 | §101§102§103 | Non-Final OA | — | Pending | Oct 30, 2024 |
| 18419270 | SYSTEMS AND METHODS FOR OBJECTIVE-BASED SCORING USING MACHINE LEARNING TECHNIQUES | ZONG, RUOLEI | 2441 | DP | Final Rejection | 49d overdue | Pending | Jan 22, 2024 |
| 18157004 | LONGITUDINAL SYSTEM USING NON-FUNGIBLE TOKENS THAT EVOLVE OVER TIME | DANG, CHRISTINE | 3698 | §103§112 | Non-Final OA | — | Pending | Jan 19, 2023 |
| 17572581 | SYSTEMS AND METHODS FOR BIG-DATA RESOURCE MANAGEMENT | RIVERA GONZALEZ, IVONNEMARY | 3626 | §101§103§112 | Final Rejection | 42d overdue | Pending | Jan 10, 2022 |
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