Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready
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 |
|---|---|
| §101 only | 1 (25%) |
| §103 only | 2 (50%) |
| §102 only | 1 (25%) |
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 |
|---|---|---|---|
| KHAKHAR, NIRAV K | 1 | 77.7% | -5.9% |
| ROBERTS, SHAUN A | 1 | 75.9% | +10.5% |
| ERB, NATHAN | 1 | 51.7% | -0.3% |
| HEWITT II, CALVIN L | 1 | 1.5% | +6.3% |
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 |
|---|---|---|---|
| 18527369 | GENERATING TRAINING DATA FROM SCENARIO DRIVEN SIMULATED USERS | HEWITT II, CALVIN L | 268d overdue |
| 18545712 | AUTOMATED AGENT CONTROLS | ERB, NATHAN | 22d |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18751047 | INTELLIGENT CONSTRAINED DECODING | ROBERTS, SHAUN A | 6d |
| Art Unit | Apps |
|---|---|
| 2163 | 1 |
| 2655 | 1 |
| 3628 | 1 |
| 4100 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18908222 | RAPID INTERACTIVE ITERATION FOR PROMPT DESIGN | KHAKHAR, NIRAV K | 2163 | §102 | Non-Final OA | 112d overdue | Pending | Oct 07, 2024 |
| 18751047 | INTELLIGENT CONSTRAINED DECODING | ROBERTS, SHAUN A | 2655 | §103 | Non-Final OA | 6d | Pending | Jun 21, 2024 |
| 18545712 | AUTOMATED AGENT CONTROLS | ERB, NATHAN | 3628 | §101 | Final Rejection | 22d | Pending | Dec 19, 2023 |
| 18527369 | GENERATING TRAINING DATA FROM SCENARIO DRIVEN SIMULATED USERS | HEWITT II, CALVIN L | 4100 | §103 | Non-Final OA | 268d overdue | Pending | Dec 04, 2023 |
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