Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Communications
4 pending office actions • 2 art units • 4 examiners • 1 of 4 (25%) have an AI response strategy ready • 6 patents granted in the last 365 days
Appian Corporation currently maintains 4 pending office actions within the Communications technology area. These matters are distributed among 4 distinct examiners and 2 distinct art units. This indicates that while the technical focus is relatively concentrated within two specific groups, the individual reviews are being conducted by four different examiners, ensuring a variety of perspectives on the company's applications.
TORGRIMSON, TYLER J is the busiest examiner for the portfolio, currently overseeing 1 pending office action. Since there are 4 pending office actions and 4 distinct examiners, each examiner is responsible for exactly 1 case. This lack of concentration among examiners suggests that the company's current prosecution is not dependent on any single individual's review, even within the 2 distinct art units involved.
Practitioners should note that the 4 pending office actions are spread across 2 distinct art units, which may offer some opportunities for technical consistency. However, the involvement of 4 distinct examiners requires a coordinated effort to ensure that arguments remain aligned across the Communications portfolio. With TORGRIMSON, TYLER J and the other examiners each handling 1 pending office action, a broad approach to prosecution management is necessary.
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 (25%) |
| §103 only | 1 (25%) |
| §112 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 |
|---|---|---|---|
| TORGRIMSON, TYLER J | 1 | 72.9% | +10.6% |
| DAO, THUY CHAN | 1 | 88.3% | +11.8% |
| SERROU, ABDELALI | 1 | 74.2% | +29.8% |
| GEE, JASON KAI YIN | 1 | 77.5% | +23.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18732822 | LARGE LANGUAGE MODEL PROMPT GENERATION AND STRUCTURING | SERROU, ABDELALI | 2d overdue |
| 18913384 | SYSTEMS AND METHODS FOR EXECUTION IN DYNAMIC APPLICATION RUNTIME ENVIRONMENTS | DAO, THUY CHAN | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18732822 | LARGE LANGUAGE MODEL PROMPT GENERATION AND STRUCTURING | SERROU, ABDELALI | 2d overdue |
| 18927383 | TRAINING CUSTOMIZABLE MACHINE-LEARNING MODELS TO EFFECTIVELY PROCESS DOCUMENTS | TORGRIMSON, TYLER J | — |
| 18913384 | SYSTEMS AND METHODS FOR EXECUTION IN DYNAMIC APPLICATION RUNTIME ENVIRONMENTS | DAO, THUY CHAN | — |
| 18593555 | RULE-BASED PARTICULARIZED DATA SECURITY | GEE, JASON KAI YIN | — |
| Art Unit | Apps |
|---|---|
| 2659 | 1 |
| 2495 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18927383 | TRAINING CUSTOMIZABLE MACHINE-LEARNING MODELS TO EFFECTIVELY PROCESS DOCUMENTS | TORGRIMSON, TYLER J | — | §112 | Non-Final OA | — | Pending | Oct 25, 2024 |
| 18913384 | SYSTEMS AND METHODS FOR EXECUTION IN DYNAMIC APPLICATION RUNTIME ENVIRONMENTS | DAO, THUY CHAN | — | §102§103 | Non-Final OA | — | Pending | Oct 11, 2024 |
| 18732822 | LARGE LANGUAGE MODEL PROMPT GENERATION AND STRUCTURING | SERROU, ABDELALI | 2659 | §101§103 | Final Rejection | 2d overdue | AI Ready | Jun 04, 2024 |
| 18593555 | RULE-BASED PARTICULARIZED DATA SECURITY | GEE, JASON KAI YIN | 2495 | §103 | Non-Final OA | — | Pending | Mar 01, 2024 |
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