Prosecution Insights
Prosecution Insights
Technology area: Communications
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
VINAI ARTIFICIAL INTELLIGENCE APPLICATION AND RESEARCH JOINT STOCK COMPANY has 3 pending office actions in the Communications technology area. These 3 actions are distributed across 3 distinct examiners and 3 distinct art units. This distribution indicates a diverse set of filings with no overlap in personnel or specialized units. The 3 distinct art units suggest that the portfolio covers several different technical niches within the broader Communications field.
The busiest examiner, YAMAMOTO, JOSEPH JEREMY, is responsible for 1 busiest examiner pending action. With 3 pending office actions in total, the company must manage separate prosecution tracks simultaneously. The variety of 3 distinct art units requires a strategy that accounts for the unique standards of each unit. Practitioners should note that the 3 distinct examiners will each provide independent feedback on the 3 pending office actions, necessitating a tailored approach for each response within the Communications area.
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 (67%) |
| Multi-statute (no §101) | 1 (33%) |
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 |
|---|---|---|---|
| YAMAMOTO, JOSEPH JEREMY | 1 | 71.7% | +31.1% |
| WU, YANNA | 1 | 80.9% | +34.4% |
| MANOHARAN, SHASHIDHAR SHANKAR | 1 | 80.0% | +33.3% |
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 |
|---|---|---|---|
| 18950969 | SPOKEN LANGUAGE UNDERSTANDING SYSTEM AND A METHOD FOR TRAINING THE SAME | MANOHARAN, SHASHIDHAR SHANKAR | — |
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.
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 |
|---|---|---|---|
| 18970404 | JOINT MODEL FOR PROFILE-BASED INTENT DETECTION AND SLOT FILLING WITH SLOT-TO-INTENT ATTENTION | YAMAMOTO, JOSEPH JEREMY | — |
| 18956815 | SYSTEM AND METHOD FOR GENERATING SYNTHETIC IMAGE AND SEMANTIC SEGMENTATION MASK THEREOF | WU, YANNA | — |
| 18950969 | SPOKEN LANGUAGE UNDERSTANDING SYSTEM AND A METHOD FOR TRAINING THE SAME | MANOHARAN, SHASHIDHAR SHANKAR | — |
| Art Unit | Apps |
|---|---|
| 2656 | 1 |
| 2615 | 1 |
| 2655 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18970404 | JOINT MODEL FOR PROFILE-BASED INTENT DETECTION AND SLOT FILLING WITH SLOT-TO-INTENT ATTENTION | YAMAMOTO, JOSEPH JEREMY | 2656 | §103 | Non-Final OA | — | Pending | Dec 05, 2024 |
| 18956815 | SYSTEM AND METHOD FOR GENERATING SYNTHETIC IMAGE AND SEMANTIC SEGMENTATION MASK THEREOF | WU, YANNA | 2615 | §102§103 | Non-Final OA | — | Pending | Nov 22, 2024 |
| 18950969 | SPOKEN LANGUAGE UNDERSTANDING SYSTEM AND A METHOD FOR TRAINING THE SAME | MANOHARAN, SHASHIDHAR SHANKAR | 2655 | §103 | Non-Final OA | — | Pending | Nov 18, 2024 |
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