Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
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 |
|---|---|
| §103 only | 3 (100%) |
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 |
|---|---|---|---|
| ALVAREZ, RAQUEL | 1 | 49.8% | +6.2% |
| GUO, XILIN | 1 | 82.2% | +17.3% |
| KHALED, ABDALLA A | 1 | 72.9% | +23.9% |
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 |
|---|---|---|---|
| 18587142 | METHOD FOR DISPLAYING CONTENT OF MOBILITY BY IDENTIFICATION OF RIDING TARGET, AND APPARATUS IMPLEMENTING THE SAME | GUO, XILIN | 53d overdue |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18587142 | METHOD FOR DISPLAYING CONTENT OF MOBILITY BY IDENTIFICATION OF RIDING TARGET, AND APPARATUS IMPLEMENTING THE SAME | GUO, XILIN | 53d overdue |
| 18587083 | METHOD FOR RECOMMENDING MISSION DESTINATION USING URBAN DATA, AND APPARATUS FOR IMPLEMENTING THE SAME | KHALED, ABDALLA A | 52d overdue |
| Art Unit | Apps |
|---|---|
| 3622 | 1 |
| 2616 | 1 |
| 3667 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18941861 | RETARGETING ADVERTISEMENT SERVICE METHOD, AND DEVICE AND SYSTEM FOR IMPLEMENTING SAME | ALVAREZ, RAQUEL | 3622 | §103 | Non-Final OA | 35d overdue | Pending | Nov 08, 2024 |
| 18587142 | METHOD FOR DISPLAYING CONTENT OF MOBILITY BY IDENTIFICATION OF RIDING TARGET, AND APPARATUS IMPLEMENTING THE SAME | GUO, XILIN | 2616 | §103 | Non-Final OA | 53d overdue | Pending | Feb 26, 2024 |
| 18587083 | METHOD FOR RECOMMENDING MISSION DESTINATION USING URBAN DATA, AND APPARATUS FOR IMPLEMENTING THE SAME | KHALED, ABDALLA A | 3667 | §103 | Final Rejection | 52d overdue | Pending | Feb 26, 2024 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial