Prosecution Insights
Prosecution Insights
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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 |
|---|---|
| §103 only | 2 (40%) |
| §102 only | 1 (20%) |
| §112 only | 2 (40%) |
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 |
|---|---|---|---|
| LIN, ARIC | 1 | 60.0% | +12.9% |
| DRAPEAU, SIMEON PAUL | 1 | 12.5% | +50.0% |
| LU, HWEI-MIN | 1 | 62.6% | +40.5% |
| STOICA, ADRIAN | 1 | 68.0% | +30.6% |
| GAN, CHUEN-MEEI | 1 | 81.6% | +41.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17878482 | REINFORCEMENT LEARNING APPARATUS AND METHOD BASED ON USER LEARNING ENVIRONMENT | GAN, CHUEN-MEEI | 97d 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 |
|---|---|---|---|
| 18082823 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA | DRAPEAU, SIMEON PAUL | 21d |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17878451 | REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA | STOICA, ADRIAN | 155d overdue |
| 18074749 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING BASED ON USER LEARNING ENVIRONMENT IN SEMICONDUCTOR DESIGN | LU, HWEI-MIN | 147d overdue |
| 17878482 | REINFORCEMENT LEARNING APPARATUS AND METHOD BASED ON USER LEARNING ENVIRONMENT | GAN, CHUEN-MEEI | 97d overdue |
| 18296440 | DEEP REINFORCEMENT LEARNING-BASED INTEGRATED CIRCUIT DESIGN SYSTEM USING PARTITIONING AND DEEP REINFORCEMENT LEARNING-BASED INTEGRATED CIRCUIT DESIGN METHOD USING PARTITIONING | LIN, ARIC | 21d |
| 18082823 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA | DRAPEAU, SIMEON PAUL | 21d |
| Art Unit | Apps |
|---|---|
| 2188 | 2 |
| 2851 | 1 |
| 2142 | 1 |
| 2189 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18296440 | DEEP REINFORCEMENT LEARNING-BASED INTEGRATED CIRCUIT DESIGN SYSTEM USING PARTITIONING AND DEEP REINFORCEMENT LEARNING-BASED INTEGRATED CIRCUIT DESIGN METHOD USING PARTITIONING | LIN, ARIC | 2851 | §112 | Non-Final OA | 21d | Pending | Apr 06, 2023 |
| 18082823 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING FOR OBJECT POSITION OPTIMIZATION BASED ON SEMICONDUCTOR DESIGN DATA | DRAPEAU, SIMEON PAUL | 2188 | §102 | Non-Final OA | 21d | Pending | Dec 16, 2022 |
| 18074749 | APPARATUS AND METHOD FOR REINFORCEMENT LEARNING BASED ON USER LEARNING ENVIRONMENT IN SEMICONDUCTOR DESIGN | LU, HWEI-MIN | 2142 | §112 | Non-Final OA | 147d overdue | Pending | Dec 05, 2022 |
| 17878451 | REINFORCEMENT LEARNING APPARATUS AND REINFORCEMENT LEARNING METHOD FOR OPTIMIZING POSITION OF OBJECT BASED ON DESIGN DATA | STOICA, ADRIAN | 2188 | §103 | Non-Final OA | 155d overdue | Pending | Aug 01, 2022 |
| 17878482 | REINFORCEMENT LEARNING APPARATUS AND METHOD BASED ON USER LEARNING ENVIRONMENT | GAN, CHUEN-MEEI | 2189 | §103 | Non-Final OA | 97d overdue | Pending | Aug 01, 2022 |
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