Technology areas: Computing & Software • Communications
8 pending office actions • 6 art units • 8 examiners • 0 of 8 (0%) have an AI response strategy ready • 14 patents granted in the last 365 days
Mashang Consumer Finance Co. Ltd. has 8 pending office actions in the Computing & Software technology area. These actions are handled by 8 distinct examiners, resulting in a distribution where each of the 8 pending office actions is being reviewed by a different person. This indicates that the company's prosecution is not concentrated with any single official, ensuring a variety of perspectives on the portfolio.
The portfolio spans 6 distinct art units, which suggests that the company's computing and software innovations are categorized into several different technical areas. The busiest examiner, HU, JENSEN, is currently managing 1 busiest examiner pending action. This is consistent with the overall spread of the 8 pending office actions across the 8 distinct examiners, showing no specific point of concentration at the patent office.
For practitioners, managing 8 pending office actions across 6 distinct art units requires a tailored approach for each application. Since there are 8 distinct examiners, there is no opportunity to leverage a single relationship for multiple matters. This decentralized structure means that the portfolio's progress will be determined by the independent decisions of 8 different examiners across the 6 distinct art units involved.
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 (12%) |
| §101 + other | 5 (62%) |
| §103 only | 1 (12%) |
| Multi-statute (no §101) | 1 (12%) |
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 |
|---|---|---|---|
| HU, JENSEN | 1 | 68.1% | +26.9% |
| KIM, ETHAN DANIEL | 1 | 77.2% | +25.4% |
| WEBB III, JAMES L | 1 | 14.1% | +22.3% |
| PARK, HYORIM NMN | 1 | 75.0% | +37.5% |
| CHAVEZ, RODRIGO A | 1 | 52.5% | +38.0% |
| LELAND III, EDWIN S | 1 | 75.1% | -0.5% |
| BLACK, LINH | 1 | 50.4% | +10.6% |
| PAN, PHOEBE X | 1 | 46.9% | +42.2% |
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 |
|---|---|---|---|
| 18653885 | QUESTION MINING METHOD, ELECTRONIC DEVICE, AND NON-TRANSIROTY STORAGE MEDIA | BLACK, LINH | 26d overdue |
| 19326031 | METHOD AND DEVICE FOR DATA PROCESSING, ELECTRONIC DEVICE AND STORAGE MEDIUM | HU, JENSEN | — |
| 19093146 | EMOTION CLASSIFICATION METHOD AND APPARATUS | KIM, ETHAN DANIEL | — |
| 19093182 | INFORMATION RECOMMENDATION METHOD AND RELATED APPARATUS | WEBB III, JAMES L | — |
| 19076863 | IMAGE SYNTHESIS METHOD AND RELATED APPARATUS | PARK, HYORIM NMN | — |
| 18897849 | MODEL TRAINING METHOD AND APPARATUS, ELECTRONIC DEVICE AND COMPUTER READABLE MEDIUM | LELAND III, EDWIN S | — |
| 18585952 | TEXT SEGMENTATION METHOD, COMPUTER DEVICE AND STORAGE MEDIUM | PAN, PHOEBE X | — |
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 |
|---|---|---|---|
| 18653885 | QUESTION MINING METHOD, ELECTRONIC DEVICE, AND NON-TRANSIROTY STORAGE MEDIA | BLACK, LINH | 26d overdue |
| 19326031 | METHOD AND DEVICE FOR DATA PROCESSING, ELECTRONIC DEVICE AND STORAGE MEDIUM | HU, JENSEN | — |
| 19093146 | EMOTION CLASSIFICATION METHOD AND APPARATUS | KIM, ETHAN DANIEL | — |
| 19093182 | INFORMATION RECOMMENDATION METHOD AND RELATED APPARATUS | WEBB III, JAMES L | — |
| 19076863 | IMAGE SYNTHESIS METHOD AND RELATED APPARATUS | PARK, HYORIM NMN | — |
| 18989947 | TEXT CLASSIFICATION | CHAVEZ, RODRIGO A | — |
| 18585952 | TEXT SEGMENTATION METHOD, COMPUTER DEVICE AND STORAGE MEDIUM | PAN, PHOEBE X | — |
| Art Unit | Apps |
|---|---|
| 2169 | 1 |
| 2658 | 1 |
| 3624 | 1 |
| 2654 | 1 |
| 2163 | 1 |
| 2179 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19326031 | METHOD AND DEVICE FOR DATA PROCESSING, ELECTRONIC DEVICE AND STORAGE MEDIUM | HU, JENSEN | 2169 | §101 | Non-Final OA | — | Pending | Sep 11, 2025 |
| 19093146 | EMOTION CLASSIFICATION METHOD AND APPARATUS | KIM, ETHAN DANIEL | 2658 | §101§102 | Non-Final OA | — | Pending | Mar 27, 2025 |
| 19093182 | INFORMATION RECOMMENDATION METHOD AND RELATED APPARATUS | WEBB III, JAMES L | 3624 | §101§102§103 | Non-Final OA | — | Pending | Mar 27, 2025 |
| 19076863 | IMAGE SYNTHESIS METHOD AND RELATED APPARATUS | PARK, HYORIM NMN | — | §102§103 | Non-Final OA | — | Pending | Mar 11, 2025 |
| 18989947 | TEXT CLASSIFICATION | CHAVEZ, RODRIGO A | — | §103 | Non-Final OA | — | Pending | Dec 20, 2024 |
| 18897849 | MODEL TRAINING METHOD AND APPARATUS, ELECTRONIC DEVICE AND COMPUTER READABLE MEDIUM | LELAND III, EDWIN S | 2654 | §101§102§103§112 | Final Rejection | — | Pending | Sep 26, 2024 |
| 18653885 | QUESTION MINING METHOD, ELECTRONIC DEVICE, AND NON-TRANSIROTY STORAGE MEDIA | BLACK, LINH | 2163 | §101§103 | Non-Final OA | 26d overdue | Pending | May 02, 2024 |
| 18585952 | TEXT SEGMENTATION METHOD, COMPUTER DEVICE AND STORAGE MEDIUM | PAN, PHOEBE X | 2179 | §101§112 | Final Rejection | — | Pending | Feb 23, 2024 |
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