Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
View Systems Inc. has 3 pending office actions in the Computing & Software field. These 3 actions are handled by 3 distinct examiners, but all 3 are located within 1 distinct art unit. LEWIS, CHERYL RENEA is the busiest examiner with 1 pending office action. The concentration in 1 distinct art unit suggests a very specific technical focus for the company's software innovations, even though the office has assigned three different individuals to review the cases.
The use of 3 distinct examiners for 3 actions means that the company must manage three different prosecution styles within the same technical classification. This requires a strategy that maintains technical consistency across the art unit while adapting to the individual preferences of each examiner. Because each examiner only handles 1 pending office action, no single person has a dominant influence over the portfolio. Practitioners should focus on the specific standards of the single art unit while being prepared for the unique perspectives of 3 different examiners. This profile reflects a technically focused but personnel-diverse prosecution landscape for the company's current pending matters.
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 (67%) |
| §103 only | 1 (33%) |
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 |
|---|---|---|---|
| LEWIS, CHERYL RENEA | 1 | 92.7% | +7.9% |
| YEN, SYLING | 1 | 75.0% | +27.8% |
| NGUYEN, LOAN T | 1 | 64.6% | +23.7% |
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 |
|---|---|---|---|
| 19350480 | LEVERAGING LARGE LANGUAGE MODELS (LLMS) FOR SEMANTICALLY CHUNKING CONTENT | LEWIS, CHERYL RENEA | — |
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 |
|---|---|---|---|
| 19347363 | SEARCHING VECTOR EMBEDDINGS BASED ON CONTEXT RADIUS | YEN, SYLING | — |
| 19214004 | DYNAMICALLY CONFIGURABLE DATA PROCESSING PIPELINE | NGUYEN, LOAN T | — |
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 |
|---|---|---|---|
| 19347363 | SEARCHING VECTOR EMBEDDINGS BASED ON CONTEXT RADIUS | YEN, SYLING | — |
| 19214004 | DYNAMICALLY CONFIGURABLE DATA PROCESSING PIPELINE | NGUYEN, LOAN T | — |
| Art Unit | Apps |
|---|---|
| 2166 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19350480 | LEVERAGING LARGE LANGUAGE MODELS (LLMS) FOR SEMANTICALLY CHUNKING CONTENT | LEWIS, CHERYL RENEA | 2166 | §103 | Non-Final OA | — | Pending | Oct 06, 2025 |
| 19347363 | SEARCHING VECTOR EMBEDDINGS BASED ON CONTEXT RADIUS | YEN, SYLING | 2166 | §101§102§103 | Non-Final OA | — | Pending | Oct 01, 2025 |
| 19214004 | DYNAMICALLY CONFIGURABLE DATA PROCESSING PIPELINE | NGUYEN, LOAN T | — | §101§112Other | Non-Final OA | — | Pending | May 20, 2025 |
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