Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Datalytica LLC currently manages 1 pending office action within the Computing & Software technology area. This matter is situated in 1 distinct art unit, which indicates a specific technical focus for the filing. The prosecution involves 1 distinct examiner, matching the count of pending actions. This structure suggests that the company's current patent office activity is highly focused within a specialized group.
KIM, SEHWAN is the busiest examiner for the company, overseeing 1 pending office action. With 1 distinct examiner assigned to the 1 pending office action, the prosecution focus is concentrated on the review process of KIM, SEHWAN. The relationship between the 1 distinct examiner and the 1 pending office action means the outcome depends on this specific evaluation. The 1 distinct art unit indicates a centralized prosecution path for the company at this time.
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 (100%) |
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 |
|---|---|---|---|
| KIM, SEHWAN | 1 | 60.9% | +67.3% |
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 |
|---|---|---|---|
| 19096194 | REVERSE ENGINEERING MACHINE-LEARNING MODELS THROUGH DATA POISONING TECHNIQUES | KIM, SEHWAN | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19096194 | REVERSE ENGINEERING MACHINE-LEARNING MODELS THROUGH DATA POISONING TECHNIQUES | KIM, SEHWAN | — |
| Art Unit | Apps |
|---|---|
| 2129 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19096194 | REVERSE ENGINEERING MACHINE-LEARNING MODELS THROUGH DATA POISONING TECHNIQUES | KIM, SEHWAN | 2129 | §101§103§112 | Non-Final OA | — | Pending | Mar 31, 2025 |
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