Technology areas: Computing & Software • Communications • Transportation, E-Commerce & Mechanical Systems
14 pending office actions • 10 art units • 14 examiners • 0 of 14 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Pwc Product Sales LLC is managing 12 pending office actions within the Computing & Software technology area. These actions are handled by 12 distinct examiners, meaning every pending matter is currently under the review of a different individual. This workload is further distributed across 8 distinct art units, reflecting a technical footprint within the software domain.
LU, KUEN S is identified as the busiest examiner for the company, holding 1 pending office action. Because there are 12 pending office actions and 12 distinct examiners, the workload is distributed with 1 action per examiner. This lack of examiner overlap requires an individualized approach for each application in the portfolio.
The involvement of 8 distinct art units for 12 pending office actions indicates that the company's innovations span multiple specialized divisions at the USPTO. Practitioners must be prepared to address the unique procedural nuances of 8 different art units. The total of 12 pending office actions suggests an active engagement with the patent office across an array of Computing & Software technologies.
Based on the USPTO statutory response window for each pending office action. 7 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 7 of the docket's apps have a known mailing date.
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 | 5 (36%) |
| §103 only | 5 (36%) |
| Multi-statute (no §101) | 4 (29%) |
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 |
|---|---|---|---|
| LU, KUEN S | 1 | 85.4% | +15.1% |
| NEHCHIRI, KOOROSH | 1 | 45.0% | +27.1% |
| BROCKINGTON III, WILLIAM S | 1 | 42.2% | +54.9% |
| STANDKE, ADAM C | 1 | 52.7% | +26.6% |
| SPRAUL III, VINCENT ANTON | 1 | 56.3% | +26.5% |
| VU, KIEU D | 1 | 39.1% | +32.9% |
| WAESCO, JOSEPH M | 1 | 46.5% | +42.6% |
| MCCORD, PAUL C | 1 | 69.2% | +25.9% |
| MOORE, REVA R | 1 | 52.8% | +50.0% |
| MEINECKE DIAZ, SUSANNA M | 1 | 30.7% | +20.5% |
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 |
|---|---|---|---|
| 19030691 | METHOD AND APPARATUS FOR KNOWLEDGE REPRESENTATION AND REASONING IN ACCOUNTING | LU, KUEN S | 20d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18174000 | INTELLIGENT SYSTEMATIC AGENT: AN ENSEMBLE OF DEEP LEARNING AND EVOLUTIONARY STRATEGIES | SUSSMAN MOSS, JACOB ZACHARY | 66d overdue |
| 18300934 | METHOD AND APPARATUS TO EXTRACT CLIENT DATA WITH CONTEXT USING ENTERPRISE KNOWLEDGE GRAPH FRAMEWORK | MEINECKE DIAZ, SUSANNA M | 50d overdue |
| 18348793 | METHOD AND SYSTEM FOR INTEGRATED MONITORING OF CHATBOTS FOR CONCEPT DRIFT DETECTION | MCCORD, PAUL C | 28d |
| 18640830 | SYSTEMS AND METHODS FOR GENERATING INSIGHTS INTO OPERATIONAL DATA USING A LANGUAGE MODEL | BROCKINGTON III, WILLIAM S | 29d |
| 17980366 | CREATING DIGITAL TWINS AT SCALE | MOLL, NITHYA JANAKIRAMAN | 63d |
| 18431481 | QUANTUM COMPUTING APPROACHES FOR RESOURCE ALLOCATION | SPRAUL III, VINCENT ANTON | — |
| 18413999 | MACHINE-LEARNING-BASED NETWORKING GRAPHICAL USER INTERFACE | VU, KIEU D | — |
| 18511630 | QUANTUM-COMPUTING-ENHANCED SYSTEMS AND METHODS FOR ENTITY ALLOCATION | WAESCO, JOSEPH M | — |
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 |
|---|---|---|---|
| 18300934 | METHOD AND APPARATUS TO EXTRACT CLIENT DATA WITH CONTEXT USING ENTERPRISE KNOWLEDGE GRAPH FRAMEWORK | MEINECKE DIAZ, SUSANNA M | 50d overdue |
| 19030691 | METHOD AND APPARATUS FOR KNOWLEDGE REPRESENTATION AND REASONING IN ACCOUNTING | LU, KUEN S | 20d |
| 18308339 | JOURNAL ENTRY PARSING | MOORE, REVA R | 20d |
| 18348793 | METHOD AND SYSTEM FOR INTEGRATED MONITORING OF CHATBOTS FOR CONCEPT DRIFT DETECTION | MCCORD, PAUL C | 28d |
| 18640830 | SYSTEMS AND METHODS FOR GENERATING INSIGHTS INTO OPERATIONAL DATA USING A LANGUAGE MODEL | BROCKINGTON III, WILLIAM S | 29d |
| 18781464 | SYSTEMS AND METHODS FOR CONVERSATION MODELING | NEHCHIRI, KOOROSH | — |
| 18583410 | AGENT ROUTE OPTIMIZATION USING QUANTUM COMPUTING | STANDKE, ADAM C | — |
| 18431481 | QUANTUM COMPUTING APPROACHES FOR RESOURCE ALLOCATION | SPRAUL III, VINCENT ANTON | — |
| Art Unit | Apps |
|---|---|
| 2165 | 1 |
| 3623 | 1 |
| 2100 | 1 |
| 2692 | 1 |
| 3627 | 1 |
| 3625 | 1 |
| 2122 | 1 |
| 2189 | 1 |
| 2169 | 1 |
| 2613 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19030691 | METHOD AND APPARATUS FOR KNOWLEDGE REPRESENTATION AND REASONING IN ACCOUNTING | LU, KUEN S | 2165 | §103 | Final Rejection | 20d | Pending | Jan 17, 2025 |
| 18781464 | SYSTEMS AND METHODS FOR CONVERSATION MODELING | NEHCHIRI, KOOROSH | — | §103Other | Non-Final OA | — | Pending | Jul 23, 2024 |
| 18640830 | SYSTEMS AND METHODS FOR GENERATING INSIGHTS INTO OPERATIONAL DATA USING A LANGUAGE MODEL | BROCKINGTON III, WILLIAM S | 3623 | §103§112 | Non-Final OA | 29d | Pending | Apr 19, 2024 |
| 18583410 | AGENT ROUTE OPTIMIZATION USING QUANTUM COMPUTING | STANDKE, ADAM C | — | §103 | Non-Final OA | — | Pending | Feb 21, 2024 |
| 18431481 | QUANTUM COMPUTING APPROACHES FOR RESOURCE ALLOCATION | SPRAUL III, VINCENT ANTON | — | §101§103§112 | Non-Final OA | — | Pending | Feb 02, 2024 |
| 18413999 | MACHINE-LEARNING-BASED NETWORKING GRAPHICAL USER INTERFACE | VU, KIEU D | 2100 | §102§103 | Non-Final OA | — | Pending | Jan 16, 2024 |
| 18511630 | QUANTUM-COMPUTING-ENHANCED SYSTEMS AND METHODS FOR ENTITY ALLOCATION | WAESCO, JOSEPH M | — | §101§103 | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18348793 | METHOD AND SYSTEM FOR INTEGRATED MONITORING OF CHATBOTS FOR CONCEPT DRIFT DETECTION | MCCORD, PAUL C | 2692 | §103§112 | Final Rejection | 28d | Pending | Jul 07, 2023 |
| 18308339 | JOURNAL ENTRY PARSING | MOORE, REVA R | 3627 | §103 | Non-Final OA | 20d | Pending | Apr 27, 2023 |
| 18300934 | METHOD AND APPARATUS TO EXTRACT CLIENT DATA WITH CONTEXT USING ENTERPRISE KNOWLEDGE GRAPH FRAMEWORK | MEINECKE DIAZ, SUSANNA M | 3625 | §101§102 | Final Rejection | 50d overdue | Pending | Apr 14, 2023 |
| 18174000 | INTELLIGENT SYSTEMATIC AGENT: AN ENSEMBLE OF DEEP LEARNING AND EVOLUTIONARY STRATEGIES | SUSSMAN MOSS, JACOB ZACHARY | 2122 | §101§103 | Final Rejection | 66d overdue | Pending | Feb 24, 2023 |
| 17980366 | CREATING DIGITAL TWINS AT SCALE | MOLL, NITHYA JANAKIRAMAN | 2189 | §101§112Other | Non-Final OA | 63d | Pending | Nov 03, 2022 |
| 17579262 | AUTOMATED DATA SET PROCESSING AND VISUALIZATION FOR MULTI-MODULE PRICING INSIGHTS GRAPHICAL USER INTERFACE | CURRAN, J MITCHELL | 2169 | §103 | Final Rejection | — | Pending | Jan 19, 2022 |
| 17608408 | GAZE PREDICTOR | LI, JAI WEI TOMMY | 2613 | §103§112 | Final Rejection | — | Pending | Nov 02, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial