Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Computing & Software • Networking & Security • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 4 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Baidu Com Times Technology (Beijing) Co. Ltd. is currently managing 4 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed among a matching number of distinct examiners, indicating that each pending matter is being reviewed by a different individual. The prosecution activity is spread across several distinct art units, which suggests a diverse technical focus where every pending action is handled by a different specialized group.
CASS, JEAN PAUL is identified as the busiest examiner for this portfolio, currently holding 1 pending office action. Since there are 4 distinct examiners for the matters, the workload is perfectly distributed across the examining staff. The fact that these matters are also spread across multiple art units implies that the company's applications are being evaluated independently by different departments at the patent office.
For practitioners, this distribution across distinct examiners and art units requires a highly individualized approach for each application. The presence of multiple examiners ensures that the portfolio's progress is not dependent on the schedule of a single individual. These matters represent the total active prosecution volume for the company in this sector.
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 |
|---|---|
| §101 + other | 3 (75%) |
| §103 only | 1 (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 |
|---|---|---|---|
| CASS, JEAN PAUL | 1 | 73.0% | +25.5% |
| KASSIM, IMAD MUTEE | 1 | 74.3% | +31.3% |
| SANKS, SCHYLER S | 1 | 72.8% | +16.0% |
| ANDERSON-FEARS, KEENAN NEIL | 1 | 12.0% | +41.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17570416 | METHOD OF TRAINING PREDICTION MODEL FOR DETERMINING MOLECULAR BINDING FORCE | ANDERSON-FEARS, KEENAN NEIL | 6d |
| 18887513 | LANE-LEVEL DATA UPDATING METHOD, APPARATUS, DEVICE, READABLE STORAGE MEDIUM, AND PRODUCT | CASS, JEAN PAUL | — |
| 18009976 | ROBOTIC PROCESS AUTOMATION (RPA)-BASED DATA LABELLING | SANKS, SCHYLER S | — |
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 |
|---|---|---|---|
| 17570416 | METHOD OF TRAINING PREDICTION MODEL FOR DETERMINING MOLECULAR BINDING FORCE | ANDERSON-FEARS, KEENAN NEIL | 6d |
| 18887513 | LANE-LEVEL DATA UPDATING METHOD, APPARATUS, DEVICE, READABLE STORAGE MEDIUM, AND PRODUCT | CASS, JEAN PAUL | — |
| 18556619 | MULTIPLE-MODEL HETEROGENEOUS COMPUTING | KASSIM, IMAD MUTEE | — |
| 18009976 | ROBOTIC PROCESS AUTOMATION (RPA)-BASED DATA LABELLING | SANKS, SCHYLER S | — |
| Art Unit | Apps |
|---|---|
| 3666 | 1 |
| 2486 | 1 |
| 2129 | 1 |
| 1687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18887513 | LANE-LEVEL DATA UPDATING METHOD, APPARATUS, DEVICE, READABLE STORAGE MEDIUM, AND PRODUCT | CASS, JEAN PAUL | 3666 | §101§103 | Final Rejection | — | Pending | Sep 17, 2024 |
| 18556619 | MULTIPLE-MODEL HETEROGENEOUS COMPUTING | KASSIM, IMAD MUTEE | 2486 | §103 | Non-Final OA | — | Pending | Oct 20, 2023 |
| 18009976 | ROBOTIC PROCESS AUTOMATION (RPA)-BASED DATA LABELLING | SANKS, SCHYLER S | 2129 | §101§102§103§112 | Final Rejection | — | Pending | Dec 12, 2022 |
| 17570416 | METHOD OF TRAINING PREDICTION MODEL FOR DETERMINING MOLECULAR BINDING FORCE | ANDERSON-FEARS, KEENAN NEIL | 1687 | §101§103 | Final Rejection | 6d | Pending | Jan 07, 2022 |
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