Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 5 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 | 1 (33%) |
| §103 only | 2 (67%) |
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 |
|---|---|---|---|
| LEE, PO HAN | 1 | 32.3% | +41.1% |
| GAY, SONIA L | 1 | 82.2% | +11.4% |
| HENRY, MATTHEW D | 1 | 30.2% | +20.9% |
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 |
|---|---|---|---|
| 18116709 | LANGUAGE MODELS AND MACHINE LEARNING FRAMEWORKS FOR FACILITATING INTERACTIONS BETWEEN END-USERS AND MULTIPLE SERVICE PROVIDER PLATFORMS | GAY, SONIA L | 27d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18110215 | COMPUTING NETWORKS, ARCHITECTURES AND TECHNIQUES FOR PROCESSING USER-SOURCED DATA IN CHANNEL EVENTS | HENRY, MATTHEW D | 8d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18219398 | INTELLIGENT ANALYTICS DASHBOARD FOR PREDICTING DEMAND CONDITIONS ACROSS A PLURALITY OF CHANNELS | LEE, PO HAN | 50d overdue |
| 18110215 | COMPUTING NETWORKS, ARCHITECTURES AND TECHNIQUES FOR PROCESSING USER-SOURCED DATA IN CHANNEL EVENTS | HENRY, MATTHEW D | 8d |
| 18116709 | LANGUAGE MODELS AND MACHINE LEARNING FRAMEWORKS FOR FACILITATING INTERACTIONS BETWEEN END-USERS AND MULTIPLE SERVICE PROVIDER PLATFORMS | GAY, SONIA L | 27d |
| Art Unit | Apps |
|---|---|
| 3623 | 1 |
| 2657 | 1 |
| 3625 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18219398 | INTELLIGENT ANALYTICS DASHBOARD FOR PREDICTING DEMAND CONDITIONS ACROSS A PLURALITY OF CHANNELS | LEE, PO HAN | 3623 | §103 | Final Rejection | 50d overdue | Pending | Jul 07, 2023 |
| 18116709 | LANGUAGE MODELS AND MACHINE LEARNING FRAMEWORKS FOR FACILITATING INTERACTIONS BETWEEN END-USERS AND MULTIPLE SERVICE PROVIDER PLATFORMS | GAY, SONIA L | 2657 | §103 | Non-Final OA | 27d | Pending | Mar 02, 2023 |
| 18110215 | COMPUTING NETWORKS, ARCHITECTURES AND TECHNIQUES FOR PROCESSING USER-SOURCED DATA IN CHANNEL EVENTS | HENRY, MATTHEW D | 3625 | §101 | Final Rejection | 8d | Pending | Feb 15, 2023 |
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