Prosecution Insights
Prosecution Insights
5 pending office actions • 1 client • 5 examiners • 4 art units • 0 of 5 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
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 |
|---|---|
| §103 only | 3 (60%) |
| §102 only | 1 (20%) |
| No statute on record | 1 (20%) |
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 |
|---|---|---|---|
| JONES, GORDON A | 1 | 60.5% | +38.8% |
| KIM, JAMES JAY | 1 | 70.3% | +27.2% |
| DUKE, EMMANUEL E | 1 | 68.6% | +27.5% |
| NILSSON, ERIC | 1 | 82.7% | +17.3% |
| ROBINSON, CHRISTOPHER B | 1 | 89.4% | +6.7% |
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 |
|---|---|---|---|
| 18365145 | MULTI-GPU TRAINING OF NEURAL NETWORKS | ROBINSON, CHRISTOPHER B | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18623945 | INTELLIGENT SWAPPABLE MODULAR UNIT FOR LOCAL COOLING LOOPS IN A DATACENTER COOLING SYSTEM | DUKE, EMMANUEL E | 14d |
| 18665311 | DATA CENTER COOLING DISTRIBUTION UNITS WITH REPLACEABLE COMPONENTS | JONES, GORDON A | — |
| 18629850 | INTELLIGENT AND DYNAMIC COLD PLATE FOR DATACENTER COOLING SYSTEMS | KIM, JAMES JAY | — |
| 18475872 | IMAGE GENERATION USING NEURAL NETWORKS | NILSSON, ERIC | — |
| Client (Assignee) | Pending OAs |
|---|---|
| NVIDIA | 5 |
| Art Unit | Apps |
|---|---|
| 3763 | 2 |
| 3747 | 1 |
| 2151 | 1 |
| 2443 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18665311 | DATA CENTER COOLING DISTRIBUTION UNITS WITH REPLACEABLE COMPONENTS | Nvidia Corporation | JONES, GORDON A | 3763 | §103 | Final Rejection | — | Pending | May 15, 2024 |
| 18629850 | INTELLIGENT AND DYNAMIC COLD PLATE FOR DATACENTER COOLING SYSTEMS | Nvidia Corporation | KIM, JAMES JAY | 3747 | §102 | Final Rejection | — | Pending | Apr 08, 2024 |
| 18623945 | INTELLIGENT SWAPPABLE MODULAR UNIT FOR LOCAL COOLING LOOPS IN A DATACENTER COOLING SYSTEM | Nvidia Corporation | DUKE, EMMANUEL E | 3763 | §103 | Non-Final OA | 14d | Pending | Apr 01, 2024 |
| 18475872 | IMAGE GENERATION USING NEURAL NETWORKS | Nvidia Corporation | NILSSON, ERIC | 2151 | — | Non-Final OA | — | Pending | Sep 27, 2023 |
| 18365145 | MULTI-GPU TRAINING OF NEURAL NETWORKS | Nvidia Corporation | ROBINSON, CHRISTOPHER B | 2443 | §103 | Non-Final OA | — | Pending | Aug 03, 2023 |
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