Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications • Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Gong Io Ltd. is currently managing 5 pending office actions in the Communications technology area. These actions are spread across 5 distinct examiners, meaning each pending matter has a unique reviewer. The portfolio involves 4 distinct art units, indicating that the company's communications technology spans several different technical classifications. ZEVITZ, DANIELLE ELIZABETH is the busiest examiner, holding 1 pending office action.
The distribution of 5 pending office actions among 5 distinct examiners shows a high degree of examiner variety. No single examiner has more than 1 pending action, as seen with ZEVITZ, DANIELLE ELIZABETH. This requires the company to maintain 5 separate prosecution strategies. The 4 distinct art units suggest that the 5 pending actions are technically diverse.
For a practitioner, the lack of examiner concentration is a key feature of this portfolio. With 5 distinct examiners for 5 pending office actions, there is no opportunity to leverage a relationship with a single primary examiner. The 4 distinct art units further emphasize the need for a broad technical understanding of the Communications field. ZEVITZ, DANIELLE ELIZABETH and the other four examiners each manage 1 of the 5 active matters.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (20%) |
| §101 + other | 1 (20%) |
| §103 only | 3 (60%) |
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 |
|---|---|---|---|
| ZEVITZ, DANIELLE ELIZABETH | 1 | 34.3% | +60.0% |
| SCHMIEDER, NICOLE A K | 1 | 68.2% | +34.0% |
| NGUYEN, TUAN S | 1 | 64.8% | +38.8% |
| IQBAL, MUSTAFA | 1 | 46.7% | +25.8% |
| SONIFRANK, RICHA MISHRA | 1 | 67.1% | +24.4% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18952407 | SYSTEM AND METHOD FOR VERIFYING AUDIO PROCESSING PIPELINE RESULTS USING AUTOMATED SPEECH RECOGNITION | ZEVITZ, DANIELLE ELIZABETH | — |
| 18162509 | REDUCED PROCESSING CALL-TO-ACTION GENERATION USING PROGRESSIVE FILTERING | IQBAL, MUSTAFA | — |
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 |
|---|---|---|---|
| 17649453 | GENERATING AND IDENTIFYING TEXTUAL TRACKERS IN TEXTUAL DATA | SONIFRANK, RICHA MISHRA | 19d overdue |
| 18952407 | SYSTEM AND METHOD FOR VERIFYING AUDIO PROCESSING PIPELINE RESULTS USING AUTOMATED SPEECH RECOGNITION | ZEVITZ, DANIELLE ELIZABETH | — |
| 18638062 | SYSTEM AND METHOD FOR GENERATING COMMUNICATION SUMMARIES USING A LARGE LANGUAGE MODEL | SCHMIEDER, NICOLE A K | — |
| 18638075 | SYSTEM AND METHOD FOR GENERATING A BRIEF OF CONVERSATION SUMMARIES USING A LARGE LANGUAGE MODEL | NGUYEN, TUAN S | — |
| 18162509 | REDUCED PROCESSING CALL-TO-ACTION GENERATION USING PROGRESSIVE FILTERING | IQBAL, MUSTAFA | — |
| Art Unit | Apps |
|---|---|
| 2659 | 1 |
| 2179 | 1 |
| 3625 | 1 |
| 2655 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18952407 | SYSTEM AND METHOD FOR VERIFYING AUDIO PROCESSING PIPELINE RESULTS USING AUTOMATED SPEECH RECOGNITION | ZEVITZ, DANIELLE ELIZABETH | — | §101§103 | Final Rejection | — | Pending | Nov 19, 2024 |
| 18638062 | SYSTEM AND METHOD FOR GENERATING COMMUNICATION SUMMARIES USING A LARGE LANGUAGE MODEL | SCHMIEDER, NICOLE A K | 2659 | §103 | Non-Final OA | — | Pending | Apr 17, 2024 |
| 18638075 | SYSTEM AND METHOD FOR GENERATING A BRIEF OF CONVERSATION SUMMARIES USING A LARGE LANGUAGE MODEL | NGUYEN, TUAN S | 2179 | §103 | Non-Final OA | — | Pending | Apr 17, 2024 |
| 18162509 | REDUCED PROCESSING CALL-TO-ACTION GENERATION USING PROGRESSIVE FILTERING | IQBAL, MUSTAFA | 3625 | §101 | Non-Final OA | — | Pending | Jan 31, 2023 |
| 17649453 | GENERATING AND IDENTIFYING TEXTUAL TRACKERS IN TEXTUAL DATA | SONIFRANK, RICHA MISHRA | 2655 | §103 | Final Rejection | 19d overdue | Pending | Jan 31, 2022 |
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