Prosecution Insights
Prosecution Insights
9 pending office actions • 1 client • 9 examiners • 7 art units • 0 of 9 (0%) have an AI response strategy ready • 36 patents granted in the last 365 days
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 (22%) |
| §103 only | 5 (56%) |
| §112 only | 1 (11%) |
| No statute on record | 1 (11%) |
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 |
|---|---|---|---|
| WILCOX, JAMES J | 1 | 70.1% | +61.2% |
| WILLIAMS, CLAYTON R | 1 | 81.8% | -5.1% |
| CHAO, MICHAEL W | 1 | 69.9% | +40.7% |
| SMITH, CHENECA | 1 | 70.0% | +46.8% |
| LUU, CUONG V | 1 | 71.7% | +36.9% |
| ADESANYA, OLUJIMI A | 1 | 65.9% | +26.1% |
| SWARTZ, STEPHEN S | 1 | 31.3% | +25.5% |
| NGUYEN, CHAU T | 1 | 67.7% | +31.0% |
| SYROWIK, MATHEW RICHARD | 1 | 9.2% | +11.6% |
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 |
|---|---|---|---|
| 19181259 | DETECTING MALICIOUS OBFUSCATION IN A SQL STATEMENT BASED ON AN EFFECT AND/OR PROCESSED VERSION THEREOF | WILLIAMS, CLAYTON R | — |
| 17960618 | PRIVACY-PRESERVING RULES-BASED TARGETING USING MACHINE LEARNING | SYROWIK, MATHEW RICHARD | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18421951 | AUTOMATICALLY GENERATING A WORKFLOW USING RESPONSES TO AI-GENERATED INQUIRIES AS INPUTS TO A GENERATIVE AI MODEL | SWARTZ, STEPHEN S | 31d overdue |
| 18905916 | Untitled | WILCOX, JAMES J | — |
| 19045413 | ABNORMALLY PERMISSIVE ROLE DEFINITION DETECTION SYSTEMS | CHAO, MICHAEL W | — |
| 18657655 | AI-BASED CODE GENERATION USING A DYNAMICALLY CONSTRUCTED SYMBOL GRAPH AND CODE SKELETONS | SMITH, CHENECA | — |
| 18608593 | SOURCE CODE COLLABORATION VIA REPLICATED DATA TYPES | LUU, CUONG V | — |
| 18607169 | REAL-TIME DOMAIN-SPECIFIC ISSUE DETECTION AND RESPONSE GENERATION USING ARTIFICIAL INTELLIGENCE | ADESANYA, OLUJIMI A | — |
| 18229485 | PROVISIONAL SELECTION DRIVES EDIT SUGGESTION GENERATION | NGUYEN, CHAU T | — |
| 17960618 | PRIVACY-PRESERVING RULES-BASED TARGETING USING MACHINE LEARNING | SYROWIK, MATHEW RICHARD | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Microsoft | 9 |
| Art Unit | Apps |
|---|---|
| 2192 | 2 |
| 2439 | 1 |
| 2443 | 1 |
| 2658 | 1 |
| 3625 | 1 |
| 2145 | 1 |
| 3621 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18905916 | Untitled | Microsoft Technology Licensing, LLC | WILCOX, JAMES J | 2439 | — | Non-Final OA | — | Pending | |
| 19181259 | DETECTING MALICIOUS OBFUSCATION IN A SQL STATEMENT BASED ON AN EFFECT AND/OR PROCESSED VERSION THEREOF | Microsoft Technology Licensing, LLC | WILLIAMS, CLAYTON R | 2443 | §101 | Non-Final OA | — | Pending | Apr 16, 2025 |
| 19045413 | ABNORMALLY PERMISSIVE ROLE DEFINITION DETECTION SYSTEMS | Microsoft Technology Licensing, LLC | CHAO, MICHAEL W | §103 | Non-Final OA | — | Pending | Feb 04, 2025 | |
| 18657655 | AI-BASED CODE GENERATION USING A DYNAMICALLY CONSTRUCTED SYMBOL GRAPH AND CODE SKELETONS | Microsoft Technology Licensing, LLC | SMITH, CHENECA | 2192 | §112 | Non-Final OA | — | Pending | May 07, 2024 |
| 18608593 | SOURCE CODE COLLABORATION VIA REPLICATED DATA TYPES | Microsoft Technology Licensing, LLC | LUU, CUONG V | 2192 | §103 | Non-Final OA | — | Pending | Mar 18, 2024 |
| 18607169 | REAL-TIME DOMAIN-SPECIFIC ISSUE DETECTION AND RESPONSE GENERATION USING ARTIFICIAL INTELLIGENCE | Microsoft Technology Licensing, LLC | ADESANYA, OLUJIMI A | 2658 | §103 | Non-Final OA | — | Pending | Mar 15, 2024 |
| 18421951 | AUTOMATICALLY GENERATING A WORKFLOW USING RESPONSES TO AI-GENERATED INQUIRIES AS INPUTS TO A GENERATIVE AI MODEL | Microsoft Technology Licensing, LLC | SWARTZ, STEPHEN S | 3625 | §103 | Final Rejection | 31d overdue | Pending | Jan 24, 2024 |
| 18229485 | PROVISIONAL SELECTION DRIVES EDIT SUGGESTION GENERATION | Microsoft Technology Licensing, LLC | NGUYEN, CHAU T | 2145 | §103 | Final Rejection | — | Pending | Aug 02, 2023 |
| 17960618 | PRIVACY-PRESERVING RULES-BASED TARGETING USING MACHINE LEARNING | Microsoft Technology Licensing, LLC | SYROWIK, MATHEW RICHARD | 3621 | §101 | Final Rejection | — | Pending | Oct 05, 2022 |
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