Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
16 pending office actions • 13 art units • 16 examiners • 0 of 16 (0%) have an AI response strategy ready • 13 patents granted in the last 365 days
Five AI Limited currently manages 16 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. This portfolio demonstrates a high degree of examiner diversification, as the pending actions are distributed among 16 distinct examiners. Such a direct ratio between actions and examiners suggests that prosecution strategies must be tailored to a wide variety of individual examiner preferences rather than a centralized departmental approach. The company must prepare for different sets of feedback, which requires significant internal coordination to maintain consistency across the portfolio.
The organizational breadth of the portfolio is further evidenced by its presence across 13 distinct art units. This distribution indicates that the company's innovations intersect with numerous specialized examination groups within the patent office. Despite the overall volume of pending actions, there is no significant concentration of workload under any single official. The busiest examiner, LEE, BRANDON DONGPA, is responsible for only 1 pending office action. This figure matches the count assigned to every other examiner involved with the portfolio, ensuring that no single examiner's personal tendencies dominate the company's current legal landscape.
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 |
|---|---|
| §101 only | 1 (6%) |
| §101 + other | 3 (19%) |
| §103 only | 9 (56%) |
| Multi-statute (no §101) | 3 (19%) |
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 |
|---|---|---|---|
| LEE, BRANDON DONGPA | 1 | 77.5% | +23.8% |
| YANG, WEI WEN | 1 | 81.9% | +11.5% |
| CHANG, DANIEL CHEOLJIN | 1 | 88.7% | +13.6% |
| LIN, JESSICA YIFANG | 1 | 81.8% | -3.3% |
| WEISENFELD, ARYAN E | 1 | 41.1% | +25.5% |
| GONZALEZ, MARIO CARLOS | 1 | 32.7% | +6.1% |
| MELTON, TODD M | 1 | 84.3% | +17.8% |
| JEON, JAE UK | 1 | 74.9% | +45.2% |
| LOPEZ, MIGUEL ALEXANDER | 1 | 6.1% | +10.0% |
| BILODEAU, DUSTIN E | 1 | 88.5% | +8.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18998957 | COMPUTER-IMPLEMENTED PERCEPTION OF 2D OR 3D SCENES | YANG, WEI WEN | — |
| 18854181 | PERFORMANCE TESTING FOR ROBOTIC SYSTEMS | LIN, JESSICA YIFANG | — |
| 18287370 | 3D PERCEPTION | BILODEAU, DUSTIN E | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18562133 | ADVERSARIAL ATTACKS ON PERCEPTION COMPONENTS | LOPEZ, MIGUEL ALEXANDER | 46d overdue |
| 18742965 | DRIVING SCENARIOS FOR AUTONOMOUS VEHICLES | MELTON, TODD M | 9d overdue |
| 18008145 | SIMULATION IN AUTONOMOUS DRIVING | HOPKINS, DAVID ANDREW | 27d |
| 19156348 | MAP ANNOTATION DATA GENERATION FOR AUTONOMOUS VEHICLES | LEE, BRANDON DONGPA | — |
| 18927754 | PERCEPTION UNCERTAINTY | CHANG, DANIEL CHEOLJIN | — |
| 18835462 | TRAJECTORY GENERATION FOR MOBILE AGENTS | WEISENFELD, ARYAN E | — |
| 18707057 | PERFORMANCE TESTING FOR MOBILE ROBOT TRAJECTORY PLANNERS | JEON, JAE UK | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18562133 | ADVERSARIAL ATTACKS ON PERCEPTION COMPONENTS | LOPEZ, MIGUEL ALEXANDER | 46d overdue |
| 18742965 | DRIVING SCENARIOS FOR AUTONOMOUS VEHICLES | MELTON, TODD M | 9d overdue |
| 19156348 | MAP ANNOTATION DATA GENERATION FOR AUTONOMOUS VEHICLES | LEE, BRANDON DONGPA | — |
| 18998957 | COMPUTER-IMPLEMENTED PERCEPTION OF 2D OR 3D SCENES | YANG, WEI WEN | — |
| 18927754 | PERCEPTION UNCERTAINTY | CHANG, DANIEL CHEOLJIN | — |
| 18835462 | TRAJECTORY GENERATION FOR MOBILE AGENTS | WEISENFELD, ARYAN E | — |
| 18707057 | PERFORMANCE TESTING FOR MOBILE ROBOT TRAJECTORY PLANNERS | JEON, JAE UK | — |
| Art Unit | Apps |
|---|---|
| 3662 | 1 |
| 3663 | 1 |
| 3668 | 1 |
| 3669 | 1 |
| 2193 | 1 |
| 2496 | 1 |
| 2664 | 1 |
| 2673 | 1 |
| 3648 | 1 |
| 2100 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19156348 | MAP ANNOTATION DATA GENERATION FOR AUTONOMOUS VEHICLES | LEE, BRANDON DONGPA | 3662 | §101§102§103§112 | Non-Final OA | — | Pending | Aug 13, 2025 |
| 18998957 | COMPUTER-IMPLEMENTED PERCEPTION OF 2D OR 3D SCENES | YANG, WEI WEN | — | §103 | Non-Final OA | — | Pending | Jan 27, 2025 |
| 18927754 | PERCEPTION UNCERTAINTY | CHANG, DANIEL CHEOLJIN | — | §103§112 | Non-Final OA | — | Pending | Oct 25, 2024 |
| 18854181 | PERFORMANCE TESTING FOR ROBOTIC SYSTEMS | LIN, JESSICA YIFANG | — | §103 | Non-Final OA | — | Pending | Oct 04, 2024 |
| 18835462 | TRAJECTORY GENERATION FOR MOBILE AGENTS | WEISENFELD, ARYAN E | 3663 | §101§102§103 | Final Rejection | — | Pending | Aug 02, 2024 |
| 18835554 | TRAJECTORY GENERATION FOR MOBILE AGENTS | GONZALEZ, MARIO CARLOS | 3668 | §103 | Non-Final OA | 71d | Pending | Aug 02, 2024 |
| 18742965 | DRIVING SCENARIOS FOR AUTONOMOUS VEHICLES | MELTON, TODD M | 3669 | §102§103 | Final Rejection | 9d overdue | Pending | Jun 13, 2024 |
| 18707057 | PERFORMANCE TESTING FOR MOBILE ROBOT TRAJECTORY PLANNERS | JEON, JAE UK | 2193 | §101 | Final Rejection | — | Pending | May 02, 2024 |
| 18562133 | ADVERSARIAL ATTACKS ON PERCEPTION COMPONENTS | LOPEZ, MIGUEL ALEXANDER | 2496 | §102§103§112 | Final Rejection | 46d overdue | Pending | Nov 17, 2023 |
| 18287370 | 3D PERCEPTION | BILODEAU, DUSTIN E | 2664 | §103 | Non-Final OA | — | Pending | Oct 18, 2023 |
| 18272916 | EXTRACTING FEATURES FROM SENSOR DATA | CAI, PHUONG HAU | 2673 | §103 | Non-Final OA | — | Pending | Jul 18, 2023 |
| 18272773 | RADAR PERCEPTION | WOLFORD, NAOMI M | 3648 | §103 | Final Rejection | 8d overdue | Pending | Jul 17, 2023 |
| 18011047 | PERFORMANCE TESTING FOR ROBOTIC SYSTEMS | GONZALES, VINCENT | 2100 | §103 | Final Rejection | — | Pending | Dec 16, 2022 |
| 18008140 | GENERATING SIMULATION ENVIRONMENTS FOR TESTING AV BEHAVIOUR | MONTES, NARCISO EDUARDO | 2189 | §103 | Final Rejection | — | Pending | Dec 02, 2022 |
| 18008145 | SIMULATION IN AUTONOMOUS DRIVING | HOPKINS, DAVID ANDREW | 2188 | §101§103 | Final Rejection | 27d | Pending | Dec 02, 2022 |
| 18008127 | OPERATIONAL DESIGN DOMAINS IN AUTONOMOUS DRIVING | JOHNSON, CEDRIC D | 2186 | §103 | Final Rejection | 7d | Pending | Dec 02, 2022 |
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