Prosecution Insights
Prosecution Insights
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 2 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 |
|---|---|
| §101 + other | 2 (50%) |
| §103 only | 2 (50%) |
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 |
|---|---|---|---|
| MULLINAX, CLINT LEE | 1 | 46.9% | +36.8% |
| LAROCQUE, EMILY E | 1 | 80.9% | +12.3% |
| TRAN, DANIEL DUC | 1 | 0.0% | +0.0% |
| DASGUPTA, SHOURJO | 1 | 65.1% | +38.9% |
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 |
|---|---|---|---|
| 17857491 | SYSTEMS AND METHODS OF APPLYING TENSOR RADIAL BASIS FUNCTION NETWORKS TO MACHINE LEARNING | LAROCQUE, EMILY E | 13d |
| 17837469 | QUANTUM-INSPIRED METHOD AND SYSTEM FOR CLUSTERING OF DATA | TRAN, DANIEL DUC | — |
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 |
|---|---|---|---|
| 17560503 | METHODS, DEVICES AND COMPUTER PROGRAM PRODUCTS FOR SETTING A CLASSIFIER WITH QUANTUM COMPUTATION | DASGUPTA, SHOURJO | 81d overdue |
| 17857491 | SYSTEMS AND METHODS OF APPLYING TENSOR RADIAL BASIS FUNCTION NETWORKS TO MACHINE LEARNING | LAROCQUE, EMILY E | 13d |
| 18397643 | SIMULATION OF SINGLE QUBIT QUANTUM ALGORITHM USING LASER BEAMS AND RELATED METHODS | MULLINAX, CLINT LEE | — |
| Art Unit | Apps |
|---|---|
| 2182 | 1 |
| 2147 | 1 |
| 2144 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18397643 | SIMULATION OF SINGLE QUBIT QUANTUM ALGORITHM USING LASER BEAMS AND RELATED METHODS | MULLINAX, CLINT LEE | — | §103 | Non-Final OA | — | Pending | Dec 27, 2023 |
| 17857491 | SYSTEMS AND METHODS OF APPLYING TENSOR RADIAL BASIS FUNCTION NETWORKS TO MACHINE LEARNING | LAROCQUE, EMILY E | 2182 | §101§112 | Final Rejection | 13d | Pending | Jul 05, 2022 |
| 17837469 | QUANTUM-INSPIRED METHOD AND SYSTEM FOR CLUSTERING OF DATA | TRAN, DANIEL DUC | 2147 | §101§103 | Final Rejection | — | Pending | Jun 10, 2022 |
| 17560503 | METHODS, DEVICES AND COMPUTER PROGRAM PRODUCTS FOR SETTING A CLASSIFIER WITH QUANTUM COMPUTATION | DASGUPTA, SHOURJO | 2144 | §103 | Final Rejection | 81d overdue | Pending | Dec 23, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial