Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready
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 | 3 (75%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| LEE, TSU-CHANG | 1 | 72.8% | +14.4% |
| RIFKIN, BEN M | 1 | 44.2% | +17.1% |
| COLEMAN, PAUL | 1 | 69.6% | +41.2% |
| DUONG, HIEN LUONGVAN | 1 | 75.1% | +22.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18328185 | USING AN ADAPTIVE THRESHOLD FOR ANOMALY DETECTION | LEE, TSU-CHANG | — |
| 18147262 | SYSTEMS AND METHODS FOR DETERMINING CLASSIFICATION PROBABILITY | RIFKIN, BEN M | — |
| 18147265 | SYSTEMS AND METHODS FOR USING MULTISTAGE CLASSIFICATION TO REDUCE COMPUTATION COMPLEXITY | COLEMAN, PAUL | — |
| 17816791 | PATTERN RECOGNITION SYSTEM | DUONG, HIEN LUONGVAN | — |
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 |
|---|---|---|---|
| 18328185 | USING AN ADAPTIVE THRESHOLD FOR ANOMALY DETECTION | LEE, TSU-CHANG | — |
| 18147262 | SYSTEMS AND METHODS FOR DETERMINING CLASSIFICATION PROBABILITY | RIFKIN, BEN M | — |
| 18147265 | SYSTEMS AND METHODS FOR USING MULTISTAGE CLASSIFICATION TO REDUCE COMPUTATION COMPLEXITY | COLEMAN, PAUL | — |
| 17816791 | PATTERN RECOGNITION SYSTEM | DUONG, HIEN LUONGVAN | — |
| Art Unit | Apps |
|---|---|
| 2127 | 1 |
| 2123 | 1 |
| 2126 | 1 |
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18328185 | USING AN ADAPTIVE THRESHOLD FOR ANOMALY DETECTION | LEE, TSU-CHANG | 2127 | §101§103 | Non-Final OA | — | Pending | Jun 02, 2023 |
| 18147262 | SYSTEMS AND METHODS FOR DETERMINING CLASSIFICATION PROBABILITY | RIFKIN, BEN M | 2123 | §101§103DP | Final Rejection | — | Pending | Dec 28, 2022 |
| 18147265 | SYSTEMS AND METHODS FOR USING MULTISTAGE CLASSIFICATION TO REDUCE COMPUTATION COMPLEXITY | COLEMAN, PAUL | 2126 | §103§112 | Final Rejection | — | Pending | Dec 28, 2022 |
| 17816791 | PATTERN RECOGNITION SYSTEM | DUONG, HIEN LUONGVAN | 2147 | §101§103 | Non-Final OA | — | Pending | Aug 02, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial