Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Communications
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Inait SA currently manages a company patent portfolio featuring 4 pending office actions within the Computing & Software technology area. These 4 pending actions are distributed across 3 distinct art units, suggesting that the company's innovations span several specialized sub-sectors within the broader computing field. This spread requires a prosecution strategy that accounts for the varying standards and practices across 3 distinct art units at the patent office.
The portfolio is being reviewed by 4 distinct examiners, which matches the total number of pending office actions. This relationship between actions and examiners ensures that each filing is being handled by a different individual, potentially leading to a variety of perspectives on the patentability of the company's software inventions. DANG, DUY M is the busiest examiner for this portfolio, currently responsible for 1 pending office action.
The fact that the busiest examiner, DANG, DUY M, only holds 1 pending action reflects a decentralized prosecution environment. With 4 distinct examiners involved, the legal team must remain adaptable to different examiner styles. The pending office actions represent the current active workload for Inait SA as it seeks to expand its intellectual property footprint in the Computing & Software space.
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 | 2 (50%) |
| Double-patenting only | 1 (25%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| DANG, DUY M | 1 | 91.0% | +6.5% |
| ACOSTA, RILEY SULLIVAN | 1 | 100.0% | +0.0% |
| SMITH, PAULINHO E | 1 | 80.3% | +9.5% |
| VAUGHN, RYAN C | 1 | 61.5% | +18.2% |
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 |
|---|---|---|---|
| 18920289 | DISTANCE METRICS AND CLUSTERING IN RECURRENT NEURAL NETWORKS | DANG, DUY M | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18611781 | ENCODING AND DECODING INFORMATION | ACOSTA, RILEY SULLIVAN | — |
| 17783981 | CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK | SMITH, PAULINHO E | — |
| 17783978 | CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK | VAUGHN, RYAN C | — |
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 |
|---|---|---|---|
| 17783978 | CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK | VAUGHN, RYAN C | — |
| Art Unit | Apps |
|---|---|
| 2662 | 1 |
| 2127 | 1 |
| 2125 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18920289 | DISTANCE METRICS AND CLUSTERING IN RECURRENT NEURAL NETWORKS | DANG, DUY M | 2662 | DP | Non-Final OA | — | Pending | Oct 18, 2024 |
| 18611781 | ENCODING AND DECODING INFORMATION | ACOSTA, RILEY SULLIVAN | — | §103§112 | Non-Final OA | — | Pending | Mar 21, 2024 |
| 17783981 | CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK | SMITH, PAULINHO E | 2127 | §101§103§112 | Non-Final OA | — | Pending | Jun 09, 2022 |
| 17783978 | CONSTRUCTING AND OPERATING AN ARTIFICIAL RECURRENT NEURAL NETWORK | VAUGHN, RYAN C | 2125 | §101§103 | Final Rejection | — | Pending | Jun 09, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial