Prosecution Insights
Prosecution Insights
Technology areas: Chemistry & Materials • Computing & Software • Networking & Security
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
The College Of William & Mary has 4 pending office actions within the Computing & Software technology area. These matters are distributed across 3 distinct art units and involve 4 distinct examiners. This indicates a diverse range of software-related research being reviewed by multiple patent office groups. With 4 pending office actions, the institution maintains a steady level of prosecution activity that spans 3 distinct art units, reflecting the broad applicability of its computing innovations.
GUGLIOTTA, NICOLE T is the busiest examiner for the company, with 1 pending office action. With a busiest examiner pending count of 1, the workload is spread across the 4 distinct examiners. Prosecution strategy must account for the varied examination styles of these different individuals. The involvement of 4 distinct examiners for 4 pending office actions means that each application is subject to a unique review process. This diversity in examination requires the institution to adapt its responses to the specific preferences and legal interpretations of each assigned examiner.
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 only | 2 (50%) |
| §103 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 |
|---|---|---|---|
| GUGLIOTTA, NICOLE T | 1 | 52.3% | +2.1% |
| DUFFY, JAMES P | 1 | 77.3% | -7.7% |
| WERNER, MARSHALL L | 1 | 66.1% | +40.7% |
| PRESSLY, KURT NICHOLAS | 1 | 32.1% | +16.9% |
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 |
|---|---|---|---|
| 17176464 | COMPUTER-IMPLEMENTED METHODS AND SYSTEMS FOR ACHIEVING REAL-TIME DNN EXECUTION ON MOBILE DEVICES WITH PATTERN-BASED WEIGHT PRUNING | PRESSLY, KURT NICHOLAS | 3d overdue |
| 18754119 | Methods and Compositions for Improving Material Strength and Toughness Using Tape-Based Quasi-Composites | GUGLIOTTA, NICOLE T | — |
| 17797610 | REAL-TIME DNN EXECUTION FRAMEWORK ON MOBILE DEVICES WITH BLOCK-BASED COLUMN-ROW PRUNING | WERNER, MARSHALL L | — |
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 |
|---|---|---|---|
| 17176464 | COMPUTER-IMPLEMENTED METHODS AND SYSTEMS FOR ACHIEVING REAL-TIME DNN EXECUTION ON MOBILE DEVICES WITH PATTERN-BASED WEIGHT PRUNING | PRESSLY, KURT NICHOLAS | 3d overdue |
| 17797610 | REAL-TIME DNN EXECUTION FRAMEWORK ON MOBILE DEVICES WITH BLOCK-BASED COLUMN-ROW PRUNING | WERNER, MARSHALL L | — |
| Art Unit | Apps |
|---|---|
| 2125 | 2 |
| 1781 | 1 |
| 2461 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18754119 | Methods and Compositions for Improving Material Strength and Toughness Using Tape-Based Quasi-Composites | GUGLIOTTA, NICOLE T | 1781 | §103§112 | Non-Final OA | — | Pending | Jun 25, 2024 |
| 18490719 | ANOMALY DETECTION BASED ON MULTI-MODAL DATA ANALYSIS | DUFFY, JAMES P | 2461 | §103 | Final Rejection | — | Pending | Oct 19, 2023 |
| 17797610 | REAL-TIME DNN EXECUTION FRAMEWORK ON MOBILE DEVICES WITH BLOCK-BASED COLUMN-ROW PRUNING | WERNER, MARSHALL L | 2125 | §101 | Non-Final OA | — | Pending | Aug 04, 2022 |
| 17176464 | COMPUTER-IMPLEMENTED METHODS AND SYSTEMS FOR ACHIEVING REAL-TIME DNN EXECUTION ON MOBILE DEVICES WITH PATTERN-BASED WEIGHT PRUNING | PRESSLY, KURT NICHOLAS | 2125 | §101 | Final Rejection | 3d overdue | Pending | Feb 16, 2021 |
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