Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security • Communications
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Jungle Disk L L C maintains an active presence in the Networking & Security technology area with 3 pending office actions. These actions are distributed across 3 distinct examiners, indicating that each matter is being reviewed by a different individual. Furthermore, the pending office actions are located in 3 distinct art units, showing a high degree of technical diversification in the company's current filings.
The busiest examiner, SHAW, BRIAN F, is responsible for 1 pending office action. This confirms that the workload is perfectly balanced, with each of the 3 distinct examiners handling exactly 1 matter. This distribution requires the company to manage separate examiner relationships across different technical classifications simultaneously.
The presence of 3 pending office actions in 3 distinct art units means that the company's current prosecution efforts are not centralized. Practitioners must develop independent strategies to address the unique requirements of each examiner and art unit. The active matters represent a broad and fragmented front for the company's networking and security patent goals.
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 | 1 (33%) |
| §103 only | 1 (33%) |
| No statute on record | 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 |
|---|---|---|---|
| SHAW, BRIAN F | 1 | 73.6% | +16.7% |
| NGUYEN, QUYNH H | 1 | 87.4% | +17.1% |
| TRAN, AMY NMN | 1 | 38.2% | +37.0% |
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 |
|---|---|---|---|
| 15885777 | SYSTEM FOR PREDICTING AND MITIGATING ORGANIZATION DISRUPTION BASED ON FILE ACCESS PATTERNS | TRAN, AMY NMN | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18139650 | NATURAL LANGUAGE GENERATION USING PINNED TEXT AND MULTIPLE DISCRIMINATORS | NGUYEN, QUYNH H | 50d |
| 18759297 | PROBABILISTIC ANTI-ENCRYPTING MALWARE PROTECTIONS FOR CLOUD-BASED FILE SYSTEMS | SHAW, BRIAN F | — |
| 15885777 | SYSTEM FOR PREDICTING AND MITIGATING ORGANIZATION DISRUPTION BASED ON FILE ACCESS PATTERNS | TRAN, AMY NMN | — |
| Art Unit | Apps |
|---|---|
| 2432 | 1 |
| 2693 | 1 |
| 2126 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18759297 | PROBABILISTIC ANTI-ENCRYPTING MALWARE PROTECTIONS FOR CLOUD-BASED FILE SYSTEMS | SHAW, BRIAN F | 2432 | §103 | Non-Final OA | — | Pending | Jun 28, 2024 |
| 18139650 | NATURAL LANGUAGE GENERATION USING PINNED TEXT AND MULTIPLE DISCRIMINATORS | NGUYEN, QUYNH H | 2693 | Other | Final Rejection | 50d | Pending | Apr 26, 2023 |
| 15885777 | SYSTEM FOR PREDICTING AND MITIGATING ORGANIZATION DISRUPTION BASED ON FILE ACCESS PATTERNS | TRAN, AMY NMN | 2126 | §101§112 | Non-Final OA | — | Pending | Jan 31, 2018 |
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