Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
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 | 5 (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 |
|---|---|---|---|
| SUL, STEPHEN SANGJIN | 1 | 79.9% | +27.0% |
| SMITH, CHENECA | 1 | 69.9% | +46.8% |
| RIDDER, CLAYTON PAUL | 1 | 72.7% | +40.0% |
| CHUANG, SU-TING | 1 | 50.0% | +37.2% |
| CAMERON, ATTICUS A | 1 | 83.1% | +7.7% |
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 |
|---|---|---|---|
| 18117294 | REDUNDANT DRIVE BY WIRE STEERING SYSTEM CONTROL FOR AUTONOMOUS DRIVING VEHICLE | CAMERON, ATTICUS A | 3d overdue |
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 |
|---|---|---|---|
| 18220470 | CPLD FIRMWARE OVER THE AIR UPDATES FOR AUTONOMOUS VEHICLES | SMITH, CHENECA | 80d overdue |
| 18219506 | FMCW RADAR AND LIDAR SIGNAL PROCESSING ARCHITECTURE FOR AUTONOMOUS VEHICLES | RIDDER, CLAYTON PAUL | 72d overdue |
| 18503702 | HYBRID LIQUID COOLING SYSTEM FOR ELECTRONICS | SUL, STEPHEN SANGJIN | 70d overdue |
| 18327707 | GENERALIZED EVOLUTIONARY TRAINING FRAMEWORKS FOR DEEP NEURAL NETWORKS | CHUANG, SU-TING | 28d |
| Art Unit | Apps |
|---|---|
| 2835 | 1 |
| 2192 | 1 |
| 3646 | 1 |
| 2146 | 1 |
| 3658 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18503702 | HYBRID LIQUID COOLING SYSTEM FOR ELECTRONICS | SUL, STEPHEN SANGJIN | 2835 | §103 | Final Rejection | 70d overdue | Pending | Nov 07, 2023 |
| 18220470 | CPLD FIRMWARE OVER THE AIR UPDATES FOR AUTONOMOUS VEHICLES | SMITH, CHENECA | 2192 | §103 | Final Rejection | 80d overdue | Pending | Jul 11, 2023 |
| 18219506 | FMCW RADAR AND LIDAR SIGNAL PROCESSING ARCHITECTURE FOR AUTONOMOUS VEHICLES | RIDDER, CLAYTON PAUL | 3646 | §103 | Final Rejection | 72d overdue | Pending | Jul 07, 2023 |
| 18327707 | GENERALIZED EVOLUTIONARY TRAINING FRAMEWORKS FOR DEEP NEURAL NETWORKS | CHUANG, SU-TING | 2146 | §103 | Non-Final OA | 28d | Pending | Jun 01, 2023 |
| 18117294 | REDUNDANT DRIVE BY WIRE STEERING SYSTEM CONTROL FOR AUTONOMOUS DRIVING VEHICLE | CAMERON, ATTICUS A | 3658 | §103 | Non-Final OA | 3d overdue | Pending | Mar 03, 2023 |
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