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 |
|---|---|
| §101 only | 1 (25%) |
| §103 only | 3 (75%) |
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 |
|---|---|---|---|
| STEINLE, ANDREW J | 1 | 87.5% | +19.7% |
| ZARKA, DAVID PETER | 1 | 82.4% | +12.9% |
| OBAID, HAMZEH M | 1 | 38.9% | +21.8% |
| ZENG, WENWEI | 1 | — | — |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18617706 | Web Page Password Capture and Evaluation | ZARKA, DAVID PETER | 22d overdue |
| 18914179 | Interactive Security Orchestration | STEINLE, ANDREW J | 19d 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 |
|---|---|---|---|
| 18468454 | COLLUSION DETECTION USING MACHINE LEARNING AND SEPARATION OF DUTIES (SOD) RULES | OBAID, HAMZEH M | 14d |
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 |
|---|---|---|---|
| 18617706 | Web Page Password Capture and Evaluation | ZARKA, DAVID PETER | 22d overdue |
| 18914179 | Interactive Security Orchestration | STEINLE, ANDREW J | 19d overdue |
| 18468454 | COLLUSION DETECTION USING MACHINE LEARNING AND SEPARATION OF DUTIES (SOD) RULES | OBAID, HAMZEH M | 14d |
| Art Unit | Apps |
|---|---|
| 2497 | 1 |
| 2449 | 1 |
| 3624 | 1 |
| 2146 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18914179 | Interactive Security Orchestration | STEINLE, ANDREW J | 2497 | §103 | Non-Final OA | 19d overdue | Pending | Oct 13, 2024 |
| 18617706 | Web Page Password Capture and Evaluation | ZARKA, DAVID PETER | 2449 | §103 | Final Rejection | 22d overdue | Pending | Mar 27, 2024 |
| 18468454 | COLLUSION DETECTION USING MACHINE LEARNING AND SEPARATION OF DUTIES (SOD) RULES | OBAID, HAMZEH M | 3624 | §101 | Non-Final OA | 14d | Pending | Sep 15, 2023 |
| 18303425 | SYSTEM AND METHOD FOR USE OF GRAPH NEURAL NETWORKS IN IDENTITY MANAGEMENT ARTIFICIAL INTELLIGENCE SYSTEMS | ZENG, WENWEI | 2146 | §103 | Non-Final OA | 5d overdue | Pending | Apr 19, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial