Prosecution Insights
Prosecution Insights
5 pending office actions • 2 clients • 5 examiners • 5 art units • 0 of 5 (0%) have an AI response strategy ready • 14 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 |
|---|---|
| §103 only | 4 (80%) |
| §102 only | 1 (20%) |
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 |
|---|---|---|---|
| O'MALLEY, CONOR AIDAN | 1 | 67.6% | -1.5% |
| MOLNAR, SIDNEY LEIGH | 1 | 64.7% | +70.6% |
| FATIMA, UROOJ | 1 | 80.0% | +33.3% |
| SHERALI, ISHRAT I | 1 | 93.2% | +6.0% |
| HILAIRE, CLIFFORD | 1 | 71.6% | +15.2% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18440243 | TRAINING OF MODELS FOR MONOCULAR DEPTH AND VISUAL ODOMETRY | FATIMA, UROOJ | — |
| 18393977 | SYSTEMS AND METHODS FOR FEW-SHOT NEW ACTION RECOGNITION | SHERALI, ISHRAT I | — |
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 |
|---|---|---|---|
| 18634457 | SYSTEMS AND METHODS FOR SPATIAL REPRESENTATIONS FOR NAVIGATION WITHOUT RECONSTRUCTION | MOLNAR, SIDNEY LEIGH | — |
| 18440243 | TRAINING OF MODELS FOR MONOCULAR DEPTH AND VISUAL ODOMETRY | FATIMA, UROOJ | — |
| 18239739 | UNSUPERVISED PRE-TRAINING OF GEOMETRIC VISION MODELS | HILAIRE, CLIFFORD | — |
| Client (Assignee) | Pending OAs |
|---|---|
| NAVER LABS CORPORATION | 3 |
| NAVER CORPORATION | 2 |
| Art Unit | Apps |
|---|---|
| 2675 | 1 |
| 3656 | 1 |
| 2676 | 1 |
| 2667 | 1 |
| 2488 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18798032 | SYSTEMS AND METHODS FOR MULTI WINDOW TRAINING OF VISION MODELS | Naver Corporation | O'MALLEY, CONOR AIDAN | 2675 | §102 | Non-Final OA | — | Pending | Aug 08, 2024 |
| 18634457 | SYSTEMS AND METHODS FOR SPATIAL REPRESENTATIONS FOR NAVIGATION WITHOUT RECONSTRUCTION | Naver Corporation | MOLNAR, SIDNEY LEIGH | 3656 | §103 | Non-Final OA | — | Pending | Apr 12, 2024 |
| 18440243 | TRAINING OF MODELS FOR MONOCULAR DEPTH AND VISUAL ODOMETRY | Naver Labs Corporation | FATIMA, UROOJ | 2676 | §103 | Non-Final OA | — | Pending | Feb 13, 2024 |
| 18393977 | SYSTEMS AND METHODS FOR FEW-SHOT NEW ACTION RECOGNITION | Naver Labs Corporation | SHERALI, ISHRAT I | 2667 | §103 | Non-Final OA | — | Pending | Dec 22, 2023 |
| 18239739 | UNSUPERVISED PRE-TRAINING OF GEOMETRIC VISION MODELS | Naver Labs Corporation | HILAIRE, CLIFFORD | 2488 | §103 | Non-Final OA | — | Pending | Aug 29, 2023 |
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