Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
8 pending office actions • 1 art units • 7 examiners • 0 of 8 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Aeye Inc. is currently navigating 8 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. A notable characteristic of this portfolio is its concentration within 1 distinct art unit, despite the volume of 8 pending office actions. This indicates that the company's technological focus is very specific, even as it generates a significant number of individual patent challenges.
The prosecution of these matters involves 7 distinct examiners, which introduces a variety of perspectives into the process. XIAO, YUQING is the busiest examiner identified, currently managing 2 busiest examiner pending office actions. While this examiner has the highest individual workload for the company, the remaining actions are distributed among the other 7 distinct examiners, ensuring that no single person controls the entire portfolio.
Practitioners should recognize that the concentration in 1 distinct art unit allows for a consistent understanding of that unit's specific legal interpretations. However, the involvement of 7 distinct examiners means that the applications will still face diverse examination styles. The influence of XIAO, YUQING is limited to 2 busiest examiner pending office actions, meaning the majority of the portfolio's fate rests with other individuals in the Transportation, E-Commerce & Mechanical Systems area.
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 | 6 (75%) |
| Multi-statute (no §101) | 2 (25%) |
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 |
|---|---|---|---|
| XIAO, YUQING | 2 | 60.3% | +28.0% |
| BAGHDASARYAN, HOVHANNES | 1 | 77.6% | +16.8% |
| CHEN, CHIA-LING | 1 | 51.3% | +42.0% |
| CHILTON, CLARA GRACE | 1 | 54.5% | +12.7% |
| NICKERSON, SAMANTHA K | 1 | 85.5% | +15.6% |
| NGUYEN, RACHEL NICOLE | 1 | 26.7% | +51.2% |
| RICHTER, KARA MARIE | 1 | 54.5% | +32.9% |
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 |
|---|---|---|---|
| 17490273 | Hyper Temporal Lidar with Multi-Channel Readout of Returns | NGUYEN, RACHEL NICOLE | 71d overdue |
| 17523509 | Ladar System with Adaptive Receiver | NICKERSON, SAMANTHA K | — |
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 |
|---|---|---|---|
| 17490273 | Hyper Temporal Lidar with Multi-Channel Readout of Returns | NGUYEN, RACHEL NICOLE | 71d overdue |
| 17554256 | Multi-Lens Lidar Receiver with Multiple Readout Channels | CHEN, CHIA-LING | 25d overdue |
| 17490204 | Hyper Temporal Lidar with Shot-Specific Detection Control | RICHTER, KARA MARIE | 29d |
| 17554237 | Lidar Receiver with Adjustable Lens | CHILTON, CLARA GRACE | 34d |
| 17490260 | Hyper Temporal Lidar with Optimized Range-Based Detection Intervals | XIAO, YUQING | 56d |
| 17970761 | Systems and Methods for Spatially-Stepped Imaging | BAGHDASARYAN, HOVHANNES | — |
| 17523509 | Ladar System with Adaptive Receiver | NICKERSON, SAMANTHA K | — |
| 17490221 | Hyper Temporal Lidar with Controllable Detection Intervals Based on Environmental Conditions | XIAO, YUQING | — |
| Art Unit | Apps |
|---|---|
| 3645 | 8 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17970761 | Systems and Methods for Spatially-Stepped Imaging | BAGHDASARYAN, HOVHANNES | 3645 | §103 | Final Rejection | — | Pending | Oct 21, 2022 |
| 17554256 | Multi-Lens Lidar Receiver with Multiple Readout Channels | CHEN, CHIA-LING | 3645 | §103Other | Non-Final OA | 25d overdue | Pending | Dec 17, 2021 |
| 17554237 | Lidar Receiver with Adjustable Lens | CHILTON, CLARA GRACE | 3645 | §103 | Non-Final OA | 34d | Pending | Dec 17, 2021 |
| 17523509 | Ladar System with Adaptive Receiver | NICKERSON, SAMANTHA K | 3645 | §102§103 | Non-Final OA | — | Pending | Nov 10, 2021 |
| 17490260 | Hyper Temporal Lidar with Optimized Range-Based Detection Intervals | XIAO, YUQING | 3645 | §103Other | Final Rejection | 56d | Pending | Sep 30, 2021 |
| 17490273 | Hyper Temporal Lidar with Multi-Channel Readout of Returns | NGUYEN, RACHEL NICOLE | 3645 | §103§112 | Non-Final OA | 71d overdue | Pending | Sep 30, 2021 |
| 17490221 | Hyper Temporal Lidar with Controllable Detection Intervals Based on Environmental Conditions | XIAO, YUQING | 3645 | §103 | Non-Final OA | — | Pending | Sep 30, 2021 |
| 17490204 | Hyper Temporal Lidar with Shot-Specific Detection Control | RICHTER, KARA MARIE | 3645 | §103 | Non-Final OA | 29d | Pending | Sep 30, 2021 |
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