Prosecution Insights
Prosecution Insights
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 2 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 | 2 (67%) |
| §103 only | 1 (33%) |
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 |
|---|---|---|---|
| JOSEPH, TONYA S | 1 | 23.7% | +19.9% |
| FLYNN, ABBY J | 1 | 32.8% | +57.0% |
| HEFLIN, BRIAN ADAMS | 1 | 40.9% | +33.6% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18906983 | MIXTURE QUERIES FOR SEARCH ENGINE PORTALS | JOSEPH, TONYA S | 3d overdue |
| 18150780 | CACHE AND LEARNED MODELS FOR SEGMENTED RESULTS IDENTIFICATION AND ANALYSIS | HEFLIN, BRIAN ADAMS | 3d 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18581603 | ITINERARY SEARCH BASED ON IMAGE DATA | FLYNN, ABBY J | 30d overdue |
| 18906983 | MIXTURE QUERIES FOR SEARCH ENGINE PORTALS | JOSEPH, TONYA S | 3d overdue |
| 18150780 | CACHE AND LEARNED MODELS FOR SEGMENTED RESULTS IDENTIFICATION AND ANALYSIS | HEFLIN, BRIAN ADAMS | 3d overdue |
| Art Unit | Apps |
|---|---|
| 3628 | 2 |
| 3663 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18906983 | MIXTURE QUERIES FOR SEARCH ENGINE PORTALS | JOSEPH, TONYA S | 3628 | §101 | Non-Final OA | 3d overdue | Pending | Oct 04, 2024 |
| 18581603 | ITINERARY SEARCH BASED ON IMAGE DATA | FLYNN, ABBY J | 3663 | §103 | Final Rejection | 30d overdue | Pending | Feb 20, 2024 |
| 18150780 | CACHE AND LEARNED MODELS FOR SEGMENTED RESULTS IDENTIFICATION AND ANALYSIS | HEFLIN, BRIAN ADAMS | 3628 | §101 | Non-Final OA | 3d overdue | Pending | Jan 05, 2023 |
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