Prosecution Insights
Prosecution Insights
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 |
|---|---|
| §101 only | 1 (25%) |
| §103 only | 3 (75%) |
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 |
|---|---|---|---|
| HUANG, CHENG-FENG | 1 | 87.4% | +17.4% |
| MOUNDI, ISHAN NMN | 1 | 16.7% | +50.0% |
| DWIVEDI, MAHESH H | 1 | 69.4% | +4.5% |
| JAYAKUMAR, CHAITANYA R | 1 | 24.5% | +20.5% |
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 |
|---|---|---|---|
| 18414952 | METHODS AND SYSTEMS OF MULTI-USER QUANTUM KEY DISTRIBUTION AND MANAGEMENT | HUANG, CHENG-FENG | 9d |
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 |
|---|---|---|---|
| 17968913 | SYSTEMS AND METHODS TO LEARN CONSTRAINTS FROM EXPERT DEMONSTRATIONS | DWIVEDI, MAHESH H | 30d overdue |
| 18222205 | MULTICOLOR TUNABLE RESERVOIR COMPUTING METHOD AND SYSTEM | MOUNDI, ISHAN NMN | 21d |
| 17963496 | METHODS, SYSTEMS, AND MEDIA FOR ONE-ROUND FEDERATED LEARNING WITH PREDICTIVE SPACE BAYESIAN INFERENCE | JAYAKUMAR, CHAITANYA R | 22d |
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 |
|---|---|---|---|
| 18414952 | METHODS AND SYSTEMS OF MULTI-USER QUANTUM KEY DISTRIBUTION AND MANAGEMENT | HUANG, CHENG-FENG | 9d |
| 18222205 | MULTICOLOR TUNABLE RESERVOIR COMPUTING METHOD AND SYSTEM | MOUNDI, ISHAN NMN | 21d |
| 17963496 | METHODS, SYSTEMS, AND MEDIA FOR ONE-ROUND FEDERATED LEARNING WITH PREDICTIVE SPACE BAYESIAN INFERENCE | JAYAKUMAR, CHAITANYA R | 22d |
| Art Unit | Apps |
|---|---|
| 2497 | 1 |
| 2141 | 1 |
| 2168 | 1 |
| 2128 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18414952 | METHODS AND SYSTEMS OF MULTI-USER QUANTUM KEY DISTRIBUTION AND MANAGEMENT | HUANG, CHENG-FENG | 2497 | §103 | Non-Final OA | 9d | Pending | Jan 17, 2024 |
| 18222205 | MULTICOLOR TUNABLE RESERVOIR COMPUTING METHOD AND SYSTEM | MOUNDI, ISHAN NMN | 2141 | §103 | Non-Final OA | 21d | Pending | Jul 14, 2023 |
| 17968913 | SYSTEMS AND METHODS TO LEARN CONSTRAINTS FROM EXPERT DEMONSTRATIONS | DWIVEDI, MAHESH H | 2168 | §101 | Non-Final OA | 30d overdue | Pending | Oct 19, 2022 |
| 17963496 | METHODS, SYSTEMS, AND MEDIA FOR ONE-ROUND FEDERATED LEARNING WITH PREDICTIVE SPACE BAYESIAN INFERENCE | JAYAKUMAR, CHAITANYA R | 2128 | §103 | Final Rejection | 22d | Pending | Oct 11, 2022 |
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