2 pending office actions • 0 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Mitac Digital Technology Corporation has 2 pending office actions in its current patent portfolio. These actions are assigned to 2 distinct examiners, providing a split in the review process. MILIA, MARK R is the busiest examiner for the company, currently managing 1 busiest examiner pending office action.
The data shows 0 distinct art units for these pending actions, which may indicate that the applications are in a transitional phase. With 2 pending office actions and 2 distinct examiners, the company is dealing with a balanced ratio of matters to examiners. This ensures that the prosecution of one application does not directly impact the timeline of the other through examiner workload.
Practitioners should prepare for a distributed review process where each matter is handled by a different individual. The 2 distinct examiners provide a variety of feedback for the portfolio's active applications despite the absence of multiple art units.
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 | 1 (50%) |
| §102 only | 1 (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 |
|---|---|---|---|
| MILIA, MARK R | 1 | 58.9% | +22.2% |
| YAO, JULIA ZHI-YI | 1 | 63.1% | +48.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18801939 | METHOD, COMPUTER DEVICE AND COMPUTER-READABLE STORAGE MEDIUM FOR AUTOMATICALLY OBTAINING FACTORS RELATED TO TRAFFIC ACCIDENTS BASED ON TRAFFIC VIDEOS | YAO, JULIA ZHI-YI | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18918587 | LANE LINE DETECTION METHOD AND SYSTEM | MILIA, MARK R | — |
| 18801939 | METHOD, COMPUTER DEVICE AND COMPUTER-READABLE STORAGE MEDIUM FOR AUTOMATICALLY OBTAINING FACTORS RELATED TO TRAFFIC ACCIDENTS BASED ON TRAFFIC VIDEOS | YAO, JULIA ZHI-YI | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18918587 | LANE LINE DETECTION METHOD AND SYSTEM | MILIA, MARK R | — | §102 | Non-Final OA | — | Pending | Oct 17, 2024 |
| 18801939 | METHOD, COMPUTER DEVICE AND COMPUTER-READABLE STORAGE MEDIUM FOR AUTOMATICALLY OBTAINING FACTORS RELATED TO TRAFFIC ACCIDENTS BASED ON TRAFFIC VIDEOS | YAO, JULIA ZHI-YI | — | §101§103§112 | Non-Final OA | — | Pending | Aug 13, 2024 |
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