Prosecution Insights
Prosecution Insights
Technology area: Communications
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Toyota Technological Institute AT Chicago has 2 pending office actions in the Communications technology area. These actions are spread across 2 distinct examiners and the distinct art units involved, showing a lack of concentration even within this small sample of pending matters. This distribution suggests that the institute is pursuing different technical aspects within the communications field, each requiring a unique examination path.
The busiest examiner, LE, MICHAEL, is responsible for 1 pending action. Because each of the pending office actions is assigned to a different examiner and art unit, the institute must manage separate prosecution tracks simultaneously. This requires a versatile strategy to address the specific feedback from the distinct examiners who may have different interpretations of the prior art. The presence of multiple art units further indicates that the 2 pending office actions may cover diverse sub-topics within the broader Communications technology area.
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 |
|---|---|
| Multi-statute (no §101) | 2 (100%) |
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 |
|---|---|---|---|
| LE, MICHAEL | 1 | 65.8% | +21.6% |
| CHANG, DANIEL CHEOLJIN | 1 | 88.7% | +13.6% |
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 |
|---|---|---|---|
| 18429137 | FUSING NEURAL RADIANCE FIELDS BY REGISTRATION AND BLENDING | LE, MICHAEL | 33d |
| 18344750 | SYSTEM AND METHOD TO IMPROVE MULTI-CAMERA MONOCULAR DEPTH ESTIMATION USING POSE AVERAGING | CHANG, DANIEL CHEOLJIN | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18429137 | FUSING NEURAL RADIANCE FIELDS BY REGISTRATION AND BLENDING | LE, MICHAEL | 33d |
| 18344750 | SYSTEM AND METHOD TO IMPROVE MULTI-CAMERA MONOCULAR DEPTH ESTIMATION USING POSE AVERAGING | CHANG, DANIEL CHEOLJIN | — |
| Art Unit | Apps |
|---|---|
| 2614 | 1 |
| 2669 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18429137 | FUSING NEURAL RADIANCE FIELDS BY REGISTRATION AND BLENDING | LE, MICHAEL | 2614 | §103§112 | Non-Final OA | 33d | Pending | Jan 31, 2024 |
| 18344750 | SYSTEM AND METHOD TO IMPROVE MULTI-CAMERA MONOCULAR DEPTH ESTIMATION USING POSE AVERAGING | CHANG, DANIEL CHEOLJIN | 2669 | §103§112 | Non-Final OA | — | Pending | Jun 29, 2023 |
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