Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 | 4 (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 |
|---|---|---|---|
| ROSARIO, DENNIS | 1 | 69.1% | +28.6% |
| PHAM, TUAN A | 1 | 83.6% | +27.1% |
| CHUNDURU, SURYAPRABHA | 1 | 53.4% | +17.4% |
| NEAGU, IRINA | 1 | 46.6% | +57.9% |
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 |
|---|---|---|---|
| 18111875 | Methods of Profiling Mass Spectral Data Using Neural Networks | PHAM, TUAN A | 98d 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 |
|---|---|---|---|
| 18111875 | Methods of Profiling Mass Spectral Data Using Neural Networks | PHAM, TUAN A | 98d overdue |
| 17937117 | METHODS AND KITS FOR THE DETECTION OF SARS-COV-2 | CHUNDURU, SURYAPRABHA | 46d overdue |
| 18656551 | METHODS OF DETECTING SOMATIC AND GERMLINE VARIANTS IN IMPURE TUMORS | ROSARIO, DENNIS | 22d |
| 17438155 | TRISUBSTITUTED PYRAZOLO [1,5-A] PYRIMIDINE COMPOUNDS AS CDK7 INHIBITORS | NEAGU, IRINA | 28d |
| Art Unit | Apps |
|---|---|
| 2676 | 1 |
| 2163 | 1 |
| 1681 | 1 |
| 1629 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18656551 | METHODS OF DETECTING SOMATIC AND GERMLINE VARIANTS IN IMPURE TUMORS | ROSARIO, DENNIS | 2676 | §103 | Non-Final OA | 22d | Pending | May 06, 2024 |
| 18111875 | Methods of Profiling Mass Spectral Data Using Neural Networks | PHAM, TUAN A | 2163 | §103 | Non-Final OA | 98d overdue | Pending | Feb 20, 2023 |
| 17937117 | METHODS AND KITS FOR THE DETECTION OF SARS-COV-2 | CHUNDURU, SURYAPRABHA | 1681 | §103 | Non-Final OA | 46d overdue | Pending | Sep 30, 2022 |
| 17438155 | TRISUBSTITUTED PYRAZOLO [1,5-A] PYRIMIDINE COMPOUNDS AS CDK7 INHIBITORS | NEAGU, IRINA | 1629 | §103 | Non-Final OA | 28d | Pending | Sep 10, 2021 |
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