Prosecution Insights
Prosecution Insights
Technology area: Medical Devices & Mechanical Engineering
4 pending office actions • 1 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Baidu International Technology (Shenzhen) Co. Ltd. has 4 pending office actions in the Medical Devices & Mechanical Engineering technology area. These 4 actions are distributed among 4 distinct examiners, meaning each examiner is reviewing a single matter. All prosecution activity is currently located within 1 distinct art unit, which provides a centralized administrative environment for the company's active cases. This concentration suggests that while the individual examiners differ, they likely report to the same supervisory patent examiners.
IAN SCOTT MCLEAN is the busiest examiner, responsible for 1 busiest examiner pending action. Since there are 4 distinct examiners for the 4 pending office actions, the workload is distributed across the portfolio without any 1 examiner holding multiple cases. This arrangement means that no individual examiner's backlog will disproportionately delay the company's progress. Practitioners should focus on the specific nuances of the 4 distinct examiners while working within the guidelines found in 1 distinct art unit. The focus on Medical Devices & Mechanical Engineering ensures that the technical expertise required for these 4 pending office actions remains consistent.
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 | 2 (50%) |
| Multi-statute (no §101) | 2 (50%) |
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 |
|---|---|---|---|
| MCLEAN, IAN SCOTT | 1 | 43.3% | +32.1% |
| LEE, EUNICE SOMIN | 1 | 88.9% | +25.7% |
| HONG, STEPHEN S | 1 | 38.6% | +25.4% |
| CATINA, MICHAEL ANTHONY | 1 | 31.5% | +30.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19020179 | METHOD FOR GENERATING FILE, ELECTRONIC DEVICE AND STORAGE MEDIUM | MCLEAN, IAN SCOTT | — |
| 19018557 | METHOD AND APPARATUS FOR TRAINING LARGE MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM | LEE, EUNICE SOMIN | — |
| 18967364 | MULTI-PERSON COOPERATIVE INPUT METHOD, APPARATUS AND SYSTEM BASED ON INPUT METHOD | HONG, STEPHEN S | — |
| 18088005 | Method For Recognizing Abnormal Sleep Audio Clip, Electronic Device | CATINA, MICHAEL ANTHONY | — |
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 |
|---|---|---|---|
| 19020179 | METHOD FOR GENERATING FILE, ELECTRONIC DEVICE AND STORAGE MEDIUM | MCLEAN, IAN SCOTT | — |
| 19018557 | METHOD AND APPARATUS FOR TRAINING LARGE MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM | LEE, EUNICE SOMIN | — |
| 18967364 | MULTI-PERSON COOPERATIVE INPUT METHOD, APPARATUS AND SYSTEM BASED ON INPUT METHOD | HONG, STEPHEN S | — |
| 18088005 | Method For Recognizing Abnormal Sleep Audio Clip, Electronic Device | CATINA, MICHAEL ANTHONY | — |
| Art Unit | Apps |
|---|---|
| 3791 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19020179 | METHOD FOR GENERATING FILE, ELECTRONIC DEVICE AND STORAGE MEDIUM | MCLEAN, IAN SCOTT | — | §102§103 | Non-Final OA | — | Pending | Jan 14, 2025 |
| 19018557 | METHOD AND APPARATUS FOR TRAINING LARGE MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM | LEE, EUNICE SOMIN | — | §101§103 | Non-Final OA | — | Pending | Jan 13, 2025 |
| 18967364 | MULTI-PERSON COOPERATIVE INPUT METHOD, APPARATUS AND SYSTEM BASED ON INPUT METHOD | HONG, STEPHEN S | — | §102§103 | Non-Final OA | — | Pending | Dec 03, 2024 |
| 18088005 | Method For Recognizing Abnormal Sleep Audio Clip, Electronic Device | CATINA, MICHAEL ANTHONY | 3791 | §101§103§112 | Non-Final OA | — | Pending | Dec 23, 2022 |
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