Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 5 of 5 (100%) have an AI response strategy ready • 9 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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 | 5 (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 |
|---|---|---|---|
| KHONG, ALEXANDER | 1 | 84.2% | +27.8% |
| TEKLE, DANIEL T | 1 | 63.4% | -6.7% |
| SENSENIG, SHAUN D | 1 | 14.5% | +16.6% |
| LEE, MICHAEL CHRISTOPHER | 1 | 61.1% | +26.0% |
| DANG, HUNG Q | 1 | 68.4% | +18.3% |
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 |
|---|---|---|---|
| 19091681 | USING AN ASSET BUCKET FOR CORRELATING ASSETS | KHONG, ALEXANDER | 32d overdue |
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 |
|---|---|---|---|
| 18143987 | CHOOSING RELATED ASSETS FOR AN ASSET BUCKET | SENSENIG, SHAUN D | 11d 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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17859328 | AUDIO CONTENT SEARCHING IN MULTI-MEDIA | LEE, MICHAEL CHRISTOPHER | 99d overdue |
| 17373238 | OPTIMIZING CONTINUOUS MEDIA COLLECTION | DANG, HUNG Q | 98d overdue |
| 19091681 | USING AN ASSET BUCKET FOR CORRELATING ASSETS | KHONG, ALEXANDER | 32d overdue |
| 18143987 | CHOOSING RELATED ASSETS FOR AN ASSET BUCKET | SENSENIG, SHAUN D | 11d overdue |
| Art Unit | Apps |
|---|---|
| 2168 | 1 |
| 2481 | 1 |
| 3629 | 1 |
| 2128 | 1 |
| 2484 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19091681 | USING AN ASSET BUCKET FOR CORRELATING ASSETS | KHONG, ALEXANDER | 2168 | §103 | Non-Final OA | 32d overdue | AI Ready | Mar 26, 2025 |
| 18807085 | AUTOMATED CLASSIFICATION AND INDEXING OF EVENTS USING MACHINE LEARNING | TEKLE, DANIEL T | 2481 | §103 | Final Rejection | 66d overdue | AI Ready | Aug 16, 2024 |
| 18143987 | CHOOSING RELATED ASSETS FOR AN ASSET BUCKET | SENSENIG, SHAUN D | 3629 | §103 | Non-Final OA | 11d overdue | AI Ready | May 05, 2023 |
| 17859328 | AUDIO CONTENT SEARCHING IN MULTI-MEDIA | LEE, MICHAEL CHRISTOPHER | 2128 | §103 | Final Rejection | 99d overdue | AI Ready | Jul 07, 2022 |
| 17373238 | OPTIMIZING CONTINUOUS MEDIA COLLECTION | DANG, HUNG Q | 2484 | §103 | Non-Final OA | 98d overdue | AI Ready | Jul 12, 2021 |
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