Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications
13 pending office actions • 2 art units • 12 examiners • 0 of 13 (0%) have an AI response strategy ready • 27 patents granted in the last 365 days
Openai Opco LLC is currently addressing 12 pending office actions in the Communications technology area. These actions are assigned to 11 distinct examiners. The portfolio is concentrated within 2 distinct art units, indicating that while the volume of 12 actions is notable, the technical focus is limited to a small number of examination groups. This concentration in 2 distinct art units suggests that the 12 pending actions are being reviewed by closely related technical units.
The busiest examiner for the company is AUGUSTINE, NICHOLAS, who is responsible for 2 busiest examiner pending actions. This examiner manages a larger portion of the pending workload than the other 11 distinct examiners. With 12 pending office actions across only 2 art units, the company faces a density of prosecution activity within those specific units. This concentration suggests that the distinct examiners are likely working within the same examination clusters to review the 12 pending actions.
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 | 5 (38%) |
| §103 only | 2 (15%) |
| §112 only | 1 (8%) |
| Double-patenting + other | 1 (8%) |
| Multi-statute (no §101) | 4 (31%) |
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 |
|---|---|---|---|
| AUGUSTINE, NICHOLAS | 2 | 72.7% | +28.2% |
| VARNDELL, ROSS E | 1 | 84.7% | +13.3% |
| CRADDOCK, ROBERT J | 1 | 84.0% | +14.4% |
| LIU, ZHENGXI | 1 | 64.1% | +40.5% |
| CASCHERA, ANTONIO A | 1 | 87.2% | +8.3% |
| HIDALGO, FERNANDO N | 1 | 93.4% | +1.3% |
| MOUNDI, ISHAN NMN | 1 | 27.6% | +47.6% |
| REPSHER III, JOHN T | 1 | 58.4% | +48.0% |
| MALIK, ZEERICK ASIM | 1 | — | — |
| SALOMON, PHENUEL S | 1 | 72.8% | +17.8% |
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 |
|---|---|---|---|
| 19042545 | BLENDING USER INTERFACE FOR BLENDING VISUAL MEDIA USING A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | CASCHERA, ANTONIO A | — |
| 19033306 | INTEGRATED IN-MEMORY COMPUTE CONFIGURED FOR EFFICIENT DATA INPUT AND RESHAPING | HIDALGO, FERNANDO N | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19054322 | MODEL IMAGE GENERATION USING RECAPTIONED IMAGES | VARNDELL, ROSS E | — |
| 19042510 | STORYBOARD GRAPHICAL USER INTERFACE TO A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | CRADDOCK, ROBERT J | — |
| 19042594 | PROMPT EDITOR FOR USE WITH A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | LIU, ZHENGXI | — |
| 18896263 | SYSTEMS AND METHODS FOR GENERATING CUSTOMIZED AI MODELS | MOUNDI, ISHAN NMN | — |
| 18790499 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | AUGUSTINE, NICHOLAS | — |
| 18790451 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | REPSHER III, JOHN T | — |
| 18767894 | SYSTEMS AND METHODS FOR GENERATING CODE USING LANGUAGE MODELS TRAINED ON COMPUTER CODE | MALIK, ZEERICK ASIM | — |
| 18732157 | SELECTIVE LEARNING OF INFORMATION FOR THE GENERATION OF PERSONALIZED RESPONSES BY A GENERATIVE RESPONSE ENGINE | SALOMON, PHENUEL S | — |
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 |
|---|---|---|---|
| 19054322 | MODEL IMAGE GENERATION USING RECAPTIONED IMAGES | VARNDELL, ROSS E | — |
| 19042510 | STORYBOARD GRAPHICAL USER INTERFACE TO A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | CRADDOCK, ROBERT J | — |
| 19042594 | PROMPT EDITOR FOR USE WITH A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | LIU, ZHENGXI | — |
| 18896263 | SYSTEMS AND METHODS FOR GENERATING CUSTOMIZED AI MODELS | MOUNDI, ISHAN NMN | — |
| 18790499 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | AUGUSTINE, NICHOLAS | — |
| 18790451 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | REPSHER III, JOHN T | — |
| 18773784 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | AUGUSTINE, NICHOLAS | — |
| 18732157 | SELECTIVE LEARNING OF INFORMATION FOR THE GENERATION OF PERSONALIZED RESPONSES BY A GENERATIVE RESPONSE ENGINE | SALOMON, PHENUEL S | — |
| Art Unit | Apps |
|---|---|
| 2674 | 1 |
| 2179 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19054322 | MODEL IMAGE GENERATION USING RECAPTIONED IMAGES | VARNDELL, ROSS E | 2674 | §101§102§103 | Non-Final OA | — | Pending | Feb 14, 2025 |
| 19042510 | STORYBOARD GRAPHICAL USER INTERFACE TO A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | CRADDOCK, ROBERT J | — | §102§103 | Non-Final OA | — | Pending | Jan 31, 2025 |
| 19042594 | PROMPT EDITOR FOR USE WITH A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | LIU, ZHENGXI | — | §103§112 | Non-Final OA | — | Pending | Jan 31, 2025 |
| 19042545 | BLENDING USER INTERFACE FOR BLENDING VISUAL MEDIA USING A VISUAL MEDIA GENERATIVE RESPONSE ENGINE | CASCHERA, ANTONIO A | — | §112 | Non-Final OA | — | Pending | Jan 31, 2025 |
| 19033306 | INTEGRATED IN-MEMORY COMPUTE CONFIGURED FOR EFFICIENT DATA INPUT AND RESHAPING | HIDALGO, FERNANDO N | — | §102§103DP | Non-Final OA | — | Pending | Jan 21, 2025 |
| 18896263 | SYSTEMS AND METHODS FOR GENERATING CUSTOMIZED AI MODELS | MOUNDI, ISHAN NMN | — | §102§103 | Non-Final OA | — | Pending | Sep 25, 2024 |
| 18790499 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | AUGUSTINE, NICHOLAS | — | §101§103 | Non-Final OA | — | Pending | Jul 31, 2024 |
| 18790451 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | REPSHER III, JOHN T | — | §101§102§112 | Non-Final OA | — | Pending | Jul 31, 2024 |
| 18773784 | OVERLAY APPLICATION AND TECHNIQUES FOR INTERFACING WITH A GENERATIVE RESPONSE ENGINE | AUGUSTINE, NICHOLAS | 2179 | §103 | Final Rejection | — | Pending | Jul 16, 2024 |
| 18767894 | SYSTEMS AND METHODS FOR GENERATING CODE USING LANGUAGE MODELS TRAINED ON COMPUTER CODE | MALIK, ZEERICK ASIM | — | §101§102§103§112DP | Non-Final OA | — | Pending | Jul 09, 2024 |
| 18732157 | SELECTIVE LEARNING OF INFORMATION FOR THE GENERATION OF PERSONALIZED RESPONSES BY A GENERATIVE RESPONSE ENGINE | SALOMON, PHENUEL S | — | §101§102§103 | Non-Final OA | — | Pending | Jun 03, 2024 |
| 18616068 | TRAINING MODULATOR/SELECTOR HARDWARE LOGIC FOR MACHINE LEARNING DEVICES | MISIR, DAYWAYSHWAR D | — | §102§103 | Non-Final OA | — | Pending | Mar 25, 2024 |
| 18416773 | GRADIENT COMPUTATION IN HYBRID DIGITALLY TIED ANALOG BLOCKS WITH ARBITRARY CONNECTIVITY BY EQUILIBRIUM PROPAGATION | KHAN, SHAHID K | — | §103 | Non-Final OA | — | Pending | Jan 18, 2024 |
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