11 pending office actions • 1 client • 11 examiners • 8 art units • 0 of 11 (0%) have an AI response strategy ready
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 (18%) |
| §101 + other | 2 (18%) |
| §103 only | 6 (55%) |
| §102 only | 1 (9%) |
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 |
|---|---|---|---|
| NEURAUTER JR, GEORGE C | 1 | 76.1% | +10.8% |
| CHEN, SHIN HON | 1 | 86.5% | +13.4% |
| SMITH, SEAN THOMAS | 1 | 72.7% | +37.5% |
| KOETH, MICHELLE M | 1 | 77.3% | +16.4% |
| JOHNSON, TODD JEFFREY | 1 | — | — |
| ACHILLE, ASHMEED CARCIA | 1 | — | — |
| ALAM, SHIHAB | 1 | — | — |
| KOESTER, MICHAEL RICHARD | 1 | 40.1% | +24.6% |
| HEADLY, MELISSA A | 1 | 75.1% | +40.1% |
| KIM, TAELOR | 1 | 62.1% | +40.8% |
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 |
|---|---|---|---|
| 19007682 | MANAGING AUTHENTICATION INFORMATION IN TEXTUAL DATA FROM USER INPUT | CHEN, SHIN HON | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19000810 | TRANSFORMING SEMANTICALLY EQUIVALENT DATA USING LARGE LANGUAGE MODELS | SMITH, SEAN THOMAS | — |
| 18598094 | Multi-Cluster Carbon Aware Balancing | ALAM, SHIHAB | — |
| 18183248 | Multivariate Skill Demand Forecasting System | KOESTER, MICHAEL RICHARD | — |
| 17148412 | Information Matching Using Subgraphs | KIM, TAELOR | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19009249 | SCHEDULING EVENTS IN A VIRTUAL ENVIRONMENT | NEURAUTER JR, GEORGE C | — |
| 19007682 | MANAGING AUTHENTICATION INFORMATION IN TEXTUAL DATA FROM USER INPUT | CHEN, SHIN HON | — |
| 19000810 | TRANSFORMING SEMANTICALLY EQUIVALENT DATA USING LARGE LANGUAGE MODELS | SMITH, SEAN THOMAS | — |
| 18828278 | Object Abstraction in Smart Vehicles to Balance Vehicle Functionality with Confidentiality Preservation | KOETH, MICHELLE M | — |
| 18183248 | Multivariate Skill Demand Forecasting System | KOESTER, MICHAEL RICHARD | — |
| 18177831 | Storage Assignment Using Application Storage Requirements | HEADLY, MELISSA A | — |
| 17148412 | Information Matching Using Subgraphs | KIM, TAELOR | — |
| Client (Assignee) | Pending OAs |
|---|---|
| IBM | 11 |
| Art Unit | Apps |
|---|---|
| 2459 | 1 |
| 2431 | 1 |
| 2659 | 1 |
| 2671 | 1 |
| 3624 | 1 |
| 2197 | 1 |
| 2859 | 1 |
| 2128 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19009249 | SCHEDULING EVENTS IN A VIRTUAL ENVIRONMENT | International Business Machines Corporation | NEURAUTER JR, GEORGE C | 2459 | §102 | Final Rejection | — | Pending | Jan 03, 2025 |
| 19007682 | MANAGING AUTHENTICATION INFORMATION IN TEXTUAL DATA FROM USER INPUT | International Business Machines Corporation | CHEN, SHIN HON | 2431 | §103 | Non-Final OA | — | Pending | Jan 02, 2025 |
| 19000810 | TRANSFORMING SEMANTICALLY EQUIVALENT DATA USING LARGE LANGUAGE MODELS | International Business Machines Corporation | SMITH, SEAN THOMAS | 2659 | §101§103 | Non-Final OA | — | Pending | Dec 24, 2024 |
| 18828278 | Object Abstraction in Smart Vehicles to Balance Vehicle Functionality with Confidentiality Preservation | International Business Machines Corporation | KOETH, MICHELLE M | 2671 | §103 | Non-Final OA | — | Pending | Sep 09, 2024 |
| 18615123 | Hypervisor-Directed Central Processing Unit Utilization | International Business Machines Corporation | JOHNSON, TODD JEFFREY | §103 | Non-Final OA | — | Pending | Mar 25, 2024 | |
| 18612047 | Managing Virtual Data Volumes Across a Container-Based Environment | International Business Machines Corporation | ACHILLE, ASHMEED CARCIA | §103 | Non-Final OA | — | Pending | Mar 21, 2024 | |
| 18598094 | Multi-Cluster Carbon Aware Balancing | International Business Machines Corporation | ALAM, SHIHAB | §101§103§112 | Non-Final OA | — | Pending | Mar 07, 2024 | |
| 18183248 | Multivariate Skill Demand Forecasting System | International Business Machines Corporation | KOESTER, MICHAEL RICHARD | 3624 | §101 | Final Rejection | — | Pending | Mar 14, 2023 |
| 18177831 | Storage Assignment Using Application Storage Requirements | International Business Machines Corporation | HEADLY, MELISSA A | 2197 | §103 | Final Rejection | — | Pending | Mar 03, 2023 |
| 17148412 | Information Matching Using Subgraphs | International Business Machines Corporation | KIM, TAELOR | 2859 | §101 | Final Rejection | — | Pending | Jan 13, 2021 |
| 17037816 | ENTITY INFORMATION ENRICHMENT FOR COMPANY DETERMINATIONS | International Business Machines Corporation | TRIEU, EM N | 2128 | §103 | Final Rejection | 16d | Pending | Sep 30, 2020 |
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