Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Semiconductors, Circuits & Optics
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
PDF Solutions Inc. has 3 pending office actions in the Computing & Software technology area. These 3 actions are distributed among 3 distinct examiners and 3 distinct art units. This indicates that each pending matter is being reviewed by a different individual in a different technical group, showing no concentration at either level.
NORTON, JENNIFER L is the busiest examiner for the company, with 1 pending office action. This spread shows that no single examiner or art unit has a dominant influence over the company's current pending matters. Because each of the 3 actions is in a different art unit, the company must manage its prosecution strategy across three separate technical groups at the patent office. The distribution of 3 actions across 3 examiners and 3 art units requires a flexible approach to address the varying requirements of different specialized reviewers within the Computing & Software 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 only | 1 (33%) |
| §101 + other | 1 (33%) |
| §103 only | 1 (33%) |
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 |
|---|---|---|---|
| NORTON, JENNIFER L | 1 | 49.8% | +2.5% |
| KUAN, JOHN CHUNYANG | 1 | 72.3% | +47.6% |
| XU, MICHAEL | 1 | 75.8% | +27.6% |
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 |
|---|---|---|---|
| 19004177 | Sequenced Approach for Determining Wafer Path Quality | NORTON, JENNIFER L | — |
| 18527156 | Time-Series Segmentation and Anomaly Detection | KUAN, JOHN CHUNYANG | — |
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 |
|---|---|---|---|
| 18141389 | Predicting Equipment Fail Mode from Process Trace | XU, MICHAEL | 112d overdue |
| 18527156 | Time-Series Segmentation and Anomaly Detection | KUAN, JOHN CHUNYANG | — |
| Art Unit | Apps |
|---|---|
| 2117 | 1 |
| 2857 | 1 |
| 2113 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19004177 | Sequenced Approach for Determining Wafer Path Quality | NORTON, JENNIFER L | 2117 | §101 | Final Rejection | — | Pending | Dec 27, 2024 |
| 18527156 | Time-Series Segmentation and Anomaly Detection | KUAN, JOHN CHUNYANG | 2857 | §101§103 | Non-Final OA | — | Pending | Dec 01, 2023 |
| 18141389 | Predicting Equipment Fail Mode from Process Trace | XU, MICHAEL | 2113 | §103 | Final Rejection | 112d overdue | Pending | Apr 29, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial