Technology areas: Networking & Security • Communications
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Wisq Inc. has 3 pending office actions in Communications. Each matter is assigned to a distinct examiner and a distinct art unit, so the docket has no repeated examiner or art-unit assignment.
RILEY, MARCUS T is the busiest examiner, with 1 pending matter. The dispersed assignments favor case-specific response planning supported by a common internal record of claim scope and disclosure. With no examiner concentration shown, counsel should not rely on one interview or amendment approach to guide the full docket. The data does not identify whether the matters concern related communications technologies.
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 + other | 1 (33%) |
| §103 only | 1 (33%) |
| 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 |
|---|---|---|---|
| DABIPI, DIXON F | 1 | 77.6% | +15.2% |
| RILEY, MARCUS T | 1 | 76.3% | +16.0% |
| LAM, PHILIP HUNG FAI | 1 | 83.8% | +50.7% |
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 |
|---|---|---|---|
| 19192165 | USING A CONVERSATION CRITIC FOR CONDUCTING ONLINE CONVERSATIONS BASED ON MACHINE LEARNING BASED LANGUAGE MODELS | DABIPI, DIXON F | — |
| 19192098 | ONLINE CONVERSATION FLOWS GUIDED BY MACHINE LEARNING BASED LANGUAGE MODELS AND RETRIEVAL AUGMENTED GENERATION | LAM, PHILIP HUNG FAI | — |
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 |
|---|---|---|---|
| 19192165 | USING A CONVERSATION CRITIC FOR CONDUCTING ONLINE CONVERSATIONS BASED ON MACHINE LEARNING BASED LANGUAGE MODELS | DABIPI, DIXON F | — |
| 19192106 | MANAGEMENT OF DATA SOURCES USED IN AN ONLINE CONVERSATION BASED ON MACHINE LEARNING BASED LANGUAGE MODELS | RILEY, MARCUS T | — |
| 19192098 | ONLINE CONVERSATION FLOWS GUIDED BY MACHINE LEARNING BASED LANGUAGE MODELS AND RETRIEVAL AUGMENTED GENERATION | LAM, PHILIP HUNG FAI | — |
| Art Unit | Apps |
|---|---|
| 2451 | 1 |
| 2654 | 1 |
| 2656 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19192165 | USING A CONVERSATION CRITIC FOR CONDUCTING ONLINE CONVERSATIONS BASED ON MACHINE LEARNING BASED LANGUAGE MODELS | DABIPI, DIXON F | 2451 | §102§103 | Non-Final OA | — | Pending | Apr 28, 2025 |
| 19192106 | MANAGEMENT OF DATA SOURCES USED IN AN ONLINE CONVERSATION BASED ON MACHINE LEARNING BASED LANGUAGE MODELS | RILEY, MARCUS T | 2654 | §103 | Non-Final OA | — | Pending | Apr 28, 2025 |
| 19192098 | ONLINE CONVERSATION FLOWS GUIDED BY MACHINE LEARNING BASED LANGUAGE MODELS AND RETRIEVAL AUGMENTED GENERATION | LAM, PHILIP HUNG FAI | 2656 | §101§103 | Non-Final OA | — | Pending | Apr 28, 2025 |
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Start Free TrialWisq Inc. has 3 pending office actions as of October 2026, spread across 3 art units and 3 examiners.
Dixon F Dabipi has the most, with 1 of Wisq Inc.'s pending office actions.
Mostly Communications (USPTO Tech Center 2600), based on where its pending office actions are examined.
