Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Harbin Institute Of Technology (Shenzhen) currently has 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This single action is being handled by 1 distinct examiner within 1 distinct art unit, reflecting a highly focused prosecution profile at this stage. The involvement of only 1 distinct art unit suggests that the institute's current patent activity is concentrated in a specific regulatory environment.
PADUA, NICO LAUREN is the busiest examiner for the portfolio, managing the 1 pending office action. With only 1 distinct examiner and 1 distinct art unit, the entire pending workload is consolidated under a single individual. This consolidation allows for a very specific prosecution strategy tailored to the preferences of PADUA, NICO LAUREN. Practitioners should note that the institute's current mechanical and e-commerce innovations are being evaluated through a single, narrow channel at the patent office.
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 |
|---|---|---|---|
| PADUA, NICO LAUREN | 1 | 17.4% | +38.7% |
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 |
|---|---|---|---|
| 18730942 | METHOD AND SYSTEM FOR EVALUATING NEIGHBOURHOOD AGING SUITABILITY BASED ON MULTI-SOURCE DATA FUSION | PADUA, NICO LAUREN | — |
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 |
|---|---|---|---|
| 18730942 | METHOD AND SYSTEM FOR EVALUATING NEIGHBOURHOOD AGING SUITABILITY BASED ON MULTI-SOURCE DATA FUSION | PADUA, NICO LAUREN | — |
| Art Unit | Apps |
|---|---|
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18730942 | METHOD AND SYSTEM FOR EVALUATING NEIGHBOURHOOD AGING SUITABILITY BASED ON MULTI-SOURCE DATA FUSION | PADUA, NICO LAUREN | 3626 | §101§112 | Non-Final OA | — | Pending | Jul 22, 2024 |
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