Prosecution Insights
Prosecution Insights
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 13 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 |
|---|---|
| Double-patenting only | 1 (25%) |
| Multi-statute (no §101) | 2 (50%) |
| No statute on record | 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 |
|---|---|---|---|
| BRIDGES, CHRISTOPHER | 1 | 45.3% | +10.5% |
| SHIU, HO T | 1 | 72.0% | -3.2% |
| XIAO, DI | 1 | 77.8% | +21.2% |
| ALABI, OLUWATOSIN O | 1 | 60.6% | +22.4% |
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 |
|---|---|---|---|
| 18203732 | GENERATING EXTREME BUT PLAUSIBLE SYSTEM RESPONSE SCENARIOS USING GENERATIVE NEURAL NETWORKS | ALABI, OLUWATOSIN O | 2d overdue |
| 18824689 | SYSTEMS AND METHODS OF GENERATING ENTITY-LEVEL GRAPHICAL USER INTERFACES | XIAO, DI | — |
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 |
|---|---|---|---|
| 18203732 | GENERATING EXTREME BUT PLAUSIBLE SYSTEM RESPONSE SCENARIOS USING GENERATIVE NEURAL NETWORKS | ALABI, OLUWATOSIN O | 2d overdue |
| 19047219 | CUSTOMIZABLE DATA TRANSACTION SYSTEMS | BRIDGES, CHRISTOPHER | 27d |
| 18824689 | SYSTEMS AND METHODS OF GENERATING ENTITY-LEVEL GRAPHICAL USER INTERFACES | XIAO, DI | — |
| Art Unit | Apps |
|---|---|
| 3693 | 1 |
| 2443 | 1 |
| 2129 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19047219 | CUSTOMIZABLE DATA TRANSACTION SYSTEMS | BRIDGES, CHRISTOPHER | 3693 | — | Non-Final OA | 27d | Pending | Feb 06, 2025 |
| 18958139 | APPARATUS, SYSTEM, AND METHOD OF ELASTICALLY PROCESSING MESSAGE INFORMATION FROM MULTIPLE SOURCES | SHIU, HO T | 2443 | DP | Non-Final OA | — | Pending | Nov 25, 2024 |
| 18824689 | SYSTEMS AND METHODS OF GENERATING ENTITY-LEVEL GRAPHICAL USER INTERFACES | XIAO, DI | — | §102§103§112 | Non-Final OA | — | Pending | Sep 04, 2024 |
| 18203732 | GENERATING EXTREME BUT PLAUSIBLE SYSTEM RESPONSE SCENARIOS USING GENERATIVE NEURAL NETWORKS | ALABI, OLUWATOSIN O | 2129 | §103§112 | Final Rejection | 2d overdue | Pending | May 31, 2023 |
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