Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
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 | 2 (50%) |
| §101 + other | 1 (25%) |
| §103 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 |
|---|---|---|---|
| KYU, TAYAR M | 1 | 39.1% | +32.8% |
| HENSON, MISCHITA L | 1 | 75.9% | +15.1% |
| SINGLETARY, TYRONE E | 1 | 30.4% | +28.7% |
| CHEN, WENREN | 1 | 14.1% | +26.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19307635 | MACHINE LEARNING-BASED TECHNIQUES FOR PREDICTING SIMILARITY OF GOODS OR SERVICES | KYU, TAYAR M | — |
| 18421694 | SEARCHING A CHEMICAL STRUCTURE DATABASE BASED ON CENTROIDS | HENSON, MISCHITA L | — |
| 18046394 | MACHINE-LEARNING BASED TECHNIQUES FOR PREDICTING TRADEMARK SIMILARITY | CHEN, WENREN | — |
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 |
|---|---|---|---|
| 19307635 | MACHINE LEARNING-BASED TECHNIQUES FOR PREDICTING SIMILARITY OF GOODS OR SERVICES | KYU, TAYAR M | — |
| 18421694 | SEARCHING A CHEMICAL STRUCTURE DATABASE BASED ON CENTROIDS | HENSON, MISCHITA L | — |
| 18068825 | SYSTEMS AND METHODS FOR DETERMINING ENTITIES BASED ON TRADEMARK PORTFOLIO SIMILARITY | SINGLETARY, TYRONE E | — |
| 18046394 | MACHINE-LEARNING BASED TECHNIQUES FOR PREDICTING TRADEMARK SIMILARITY | CHEN, WENREN | — |
| Art Unit | Apps |
|---|---|
| 3628 | 1 |
| 2857 | 1 |
| 3625 | 1 |
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19307635 | MACHINE LEARNING-BASED TECHNIQUES FOR PREDICTING SIMILARITY OF GOODS OR SERVICES | KYU, TAYAR M | 3628 | §101§102 | Non-Final OA | — | Pending | Aug 22, 2025 |
| 18421694 | SEARCHING A CHEMICAL STRUCTURE DATABASE BASED ON CENTROIDS | HENSON, MISCHITA L | 2857 | §101 | Non-Final OA | — | Pending | Jan 24, 2024 |
| 18068825 | SYSTEMS AND METHODS FOR DETERMINING ENTITIES BASED ON TRADEMARK PORTFOLIO SIMILARITY | SINGLETARY, TYRONE E | 3625 | §103 | Non-Final OA | — | Pending | Dec 20, 2022 |
| 18046394 | MACHINE-LEARNING BASED TECHNIQUES FOR PREDICTING TRADEMARK SIMILARITY | CHEN, WENREN | 3626 | §101 | Final Rejection | — | Pending | Oct 13, 2022 |
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