Prosecution Insights
Prosecution Insights
8 pending office actions • 5 art units • 8 examiners • 0 of 8 (0%) have an AI response strategy ready • 7 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 |
|---|---|
| §101 only | 1 (12%) |
| §101 + other | 2 (25%) |
| §103 only | 3 (38%) |
| Double-patenting only | 1 (12%) |
| Multi-statute (no §101) | 1 (12%) |
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 |
|---|---|---|---|
| CHUNG, DANIEL WONSUK | 1 | 59.6% | +33.4% |
| ZEVITZ, DANIELLE ELIZABETH | 1 | 36.1% | +61.9% |
| LOHARIKAR, ANAND R | 1 | 69.6% | +26.0% |
| SCHMIEDER, NICOLE A K | 1 | 67.8% | +33.6% |
| NGUYEN, TUAN S | 1 | 64.7% | +38.9% |
| LOWEN, NICHOLAS DANIEL | 1 | 69.2% | +80.0% |
| IQBAL, MUSTAFA | 1 | 46.2% | +26.7% |
| OGUNBIYI, OLUWADAMILOL M | 1 | 77.1% | +19.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18661097 | SYSTEM AND METHOD FOR DEALS PIPELINE OPTIMIZATION | LOHARIKAR, ANAND R | — |
| 18638062 | SYSTEM AND METHOD FOR GENERATING COMMUNICATION SUMMARIES USING A LARGE LANGUAGE MODEL | SCHMIEDER, NICOLE A K | — |
| 18629369 | TECHNIQUES FOR STREAMLINING LANGUAGE DATA PROCESSING USING A CENTRALIZED PLATFORM OF MULTI-STAGE MACHINE LEARNING ALGORITHMS | LOWEN, NICHOLAS DANIEL | — |
| 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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18957271 | SYSTEM, METHOD AND PROGRAMMED PRODUCT FOR UNIQUELY IDENTIFYING PARTICIPANTS IN A RECORDED STREAMING TELECONFERENCE | CHUNG, DANIEL WONSUK | — |
| 18952407 | SYSTEM AND METHOD FOR VERIFYING AUDIO PROCESSING PIPELINE RESULTS USING AUTOMATED SPEECH RECOGNITION | ZEVITZ, DANIELLE ELIZABETH | — |
| 18661097 | SYSTEM AND METHOD FOR DEALS PIPELINE OPTIMIZATION | LOHARIKAR, ANAND R | — |
| 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 | — |
| 18629369 | TECHNIQUES FOR STREAMLINING LANGUAGE DATA PROCESSING USING A CENTRALIZED PLATFORM OF MULTI-STAGE MACHINE LEARNING ALGORITHMS | LOWEN, NICHOLAS DANIEL | — |
| 18162509 | REDUCED PROCESSING CALL-TO-ACTION GENERATION USING PROGRESSIVE FILTERING | IQBAL, MUSTAFA | — |
| 18053233 | TECHNIQUES FOR GENERATING TRAINING DATA FOR ACOUSTIC MODELS USING DOMAIN ADAPTATION | OGUNBIYI, OLUWADAMILOL M | — |
| Art Unit | Apps |
|---|---|
| 2653 | 2 |
| 3689 | 1 |
| 2659 | 1 |
| 2179 | 1 |
| 3625 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18957271 | SYSTEM, METHOD AND PROGRAMMED PRODUCT FOR UNIQUELY IDENTIFYING PARTICIPANTS IN A RECORDED STREAMING TELECONFERENCE | CHUNG, DANIEL WONSUK | — | DP | Non-Final OA | — | Pending | Nov 22, 2024 |
| 18952407 | SYSTEM AND METHOD FOR VERIFYING AUDIO PROCESSING PIPELINE RESULTS USING AUTOMATED SPEECH RECOGNITION | ZEVITZ, DANIELLE ELIZABETH | — | §103 | Final Rejection | — | Pending | Nov 19, 2024 |
| 18661097 | SYSTEM AND METHOD FOR DEALS PIPELINE OPTIMIZATION | LOHARIKAR, ANAND R | 3689 | §101§103 | Final Rejection | — | Pending | May 10, 2024 |
| 18638062 | SYSTEM AND METHOD FOR GENERATING COMMUNICATION SUMMARIES USING A LARGE LANGUAGE MODEL | SCHMIEDER, NICOLE A K | 2659 | §103§112 | 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 |
| 18629369 | TECHNIQUES FOR STREAMLINING LANGUAGE DATA PROCESSING USING A CENTRALIZED PLATFORM OF MULTI-STAGE MACHINE LEARNING ALGORITHMS | LOWEN, NICHOLAS DANIEL | 2653 | §101§102§103 | Final Rejection | — | Pending | Apr 08, 2024 |
| 18162509 | REDUCED PROCESSING CALL-TO-ACTION GENERATION USING PROGRESSIVE FILTERING | IQBAL, MUSTAFA | 3625 | §101 | Non-Final OA | — | Pending | Jan 31, 2023 |
| 18053233 | TECHNIQUES FOR GENERATING TRAINING DATA FOR ACOUSTIC MODELS USING DOMAIN ADAPTATION | OGUNBIYI, OLUWADAMILOL M | 2653 | §103 | Final Rejection | — | Pending | Nov 07, 2022 |
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