Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
TripleBlind, Inc. currently has 2 pending office actions in the Networking & Security technology area. These actions are distributed across 2 distinct examiners and 2 distinct art units. This distribution indicates that the company's current patent filings cover a range of technical sub-specialties within the networking and security sector, requiring review from different specialized groups at the USPTO.
SIDDIQI, MOHAMMAD A is the busiest examiner for the portfolio, with 1 pending office action. This examiner handles a portion of the company's 2 pending office actions. The remaining pending matter is assigned to the other distinct examiner and the second distinct art unit. This arrangement means that each pending application is being reviewed in a unique administrative environment.
The presence of 2 distinct art units for only 2 pending office actions suggests a high degree of technical diversity in the company's current prosecution. For practitioners, this means that the prosecution strategy must be tailored to the specific requirements and prior art landscapes of two different examination groups. The company's intellectual property success is currently split between these two independent paths.
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 |
|---|---|
| §103 only | 1 (50%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| SIDDIQI, MOHAMMAD A | 1 | 85.2% | +15.6% |
| KWON, JUN | 1 | 41.0% | +47.2% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18505003 | PRIVACY-PRESERVING FUZZY TOKENIZATION AND ACROSS DISPARATE DATASETS | SIDDIQI, MOHAMMAD A | — |
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.
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 |
|---|---|---|---|
| 18505003 | PRIVACY-PRESERVING FUZZY TOKENIZATION AND ACROSS DISPARATE DATASETS | SIDDIQI, MOHAMMAD A | — |
| 18162116 | SYSTEMS AND METHODS FOR TRAINING PREDICTIVE MODELS ON SEQUENTIAL DATA USING 1-DIMENSIONAL CONVOLUTIONAL LAYERS IN A BLIND LEARNING APPROACH | KWON, JUN | — |
| Art Unit | Apps |
|---|---|
| 2493 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18505003 | PRIVACY-PRESERVING FUZZY TOKENIZATION AND ACROSS DISPARATE DATASETS | SIDDIQI, MOHAMMAD A | 2493 | §103 | Final Rejection | — | Pending | Nov 08, 2023 |
| 18162116 | SYSTEMS AND METHODS FOR TRAINING PREDICTIVE MODELS ON SEQUENTIAL DATA USING 1-DIMENSIONAL CONVOLUTIONAL LAYERS IN A BLIND LEARNING APPROACH | KWON, JUN | 2127 | §103§112 | Final Rejection | — | Pending | Jan 31, 2023 |
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