Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
19 pending office actions • 1 client • 19 examiners • 12 art units • 0 of 19 (0%) have an AI response strategy ready
YEE AND ASSOCIATES, P.C. focuses on Computing & Software, with 342 career applications. The firm currently has 19 pending office actions. It has a resolved allowance rate of 43.62 percent, which is a notably low figure compared to other firms in this sector. The firm averages 6.42 office actions per allowance, suggesting an extremely intensive and prolonged prosecution process.
This high average of 6.42 indicates that the firm engages in many rounds of communication with examiners, yet the 43.62 percent allowance rate shows that these efforts often do not result in a grant. For clients with 342 career applications, these metrics highlight the significant challenges the firm faces in securing software patents. Practitioners can view the 19 pending office actions as a sign of ongoing efforts to navigate this difficult landscape. The combination of a 43.62 percent allowance rate and an average of 6.42 office actions per allowance across 342 career applications reflects a prosecution environment where success is difficult to achieve despite extensive and persistent interactions with the USPTO in the Computing & Software technology area.
Based on the USPTO statutory response window for each pending office action. 2 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 | 5 (26%) |
| §101 + other | 2 (11%) |
| §103 only | 8 (42%) |
| §102 only | 1 (5%) |
| Multi-statute (no §101) | 3 (16%) |
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 |
|---|---|---|---|
| IQBAL, MUSTAFA | 1 | 46.7% | +25.8% |
| NEURAUTER JR, GEORGE C | 1 | 76.4% | +10.7% |
| KING, DANIEL JOHN | 1 | 98.5% | +2.1% |
| KOETH, MICHELLE M | 1 | 76.7% | +16.5% |
| MALIK, ZEERICK ASIM | 1 | — | — |
| WHEATON, BRADFORD F | 1 | 61.5% | +11.2% |
| PHANTANA ANGKOOL, DAVID | 1 | 86.3% | +13.8% |
| SUN, ANDREW NMN | 1 | 50.0% | +100.0% |
| DETERDING, GWYNEVERE AMELIA | 1 | 71.4% | +35.7% |
| JOHNSON, TODD JEFFREY | 1 | — | — |
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 |
|---|---|---|---|
| 18768474 | Increasing Visibility of Similar Designators | PHANTANA ANGKOOL, DAVID | — |
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 |
|---|---|---|---|
| 17037816 | ENTITY INFORMATION ENRICHMENT FOR COMPANY DETERMINATIONS | TRIEU, EM N | 16d |
| 19023183 | Managing Workflow Instance Execution using a Workflow Sentinel | IQBAL, MUSTAFA | — |
| 18964972 | Vertically Stacked 8T Complementary FET SRAM | KING, DANIEL JOHN | — |
| 18826280 | SIMPLIFYING CONDITIONAL STRUCTURES FOR LOOP OPTIMIZATION | MALIK, ZEERICK ASIM | — |
| 18636481 | METHOD OF TRAINING MACHINE LEARING MODEL FOR MANAGING PROMPTS | DETERDING, GWYNEVERE AMELIA | — |
| 18362726 | Artificial Intelligence Model Factory | ALI, NAYMUR RAHMAN | — |
| 18317475 | New Data Class Generation Based on Static Reference Data | NGUYEN, CAM LINH T | — |
| 18183248 | Multivariate Skill Demand Forecasting System | KOESTER, MICHAEL 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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19023183 | Managing Workflow Instance Execution using a Workflow Sentinel | IQBAL, MUSTAFA | — |
| 19009249 | SCHEDULING EVENTS IN A VIRTUAL ENVIRONMENT | NEURAUTER JR, GEORGE C | — |
| 18828278 | Object Abstraction in Smart Vehicles to Balance Vehicle Functionality with Confidentiality Preservation | KOETH, MICHELLE M | — |
| 18790258 | OPTIMIZING DISRUPTIVE UPDATES FOR SINGLE NODE DEPLOYMENTS IN AN ORCHESTRATION PLATFORM | WHEATON, BRADFORD F | — |
| 18768474 | Increasing Visibility of Similar Designators | PHANTANA ANGKOOL, DAVID | — |
| 18651801 | Correlating Local Resolvers to Clients | SUN, ANDREW NMN | — |
| 18636481 | METHOD OF TRAINING MACHINE LEARING MODEL FOR MANAGING PROMPTS | DETERDING, GWYNEVERE AMELIA | — |
| Client (Assignee) | Pending OAs |
|---|---|
| IBM | 19 |
| Art Unit | Apps |
|---|---|
| 2193 | 3 |
| 3624 | 2 |
| 3625 | 1 |
| 2459 | 1 |
| 2827 | 1 |
| 2671 | 1 |
| 2172 | 1 |
| 2123 | 1 |
| 2197 | 1 |
| 2196 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19023183 | Managing Workflow Instance Execution using a Workflow Sentinel | International Business Machines Corporation | IQBAL, MUSTAFA | 3625 | §101 | Non-Final OA | — | Pending | Jan 15, 2025 |
| 19009249 | SCHEDULING EVENTS IN A VIRTUAL ENVIRONMENT | International Business Machines Corporation | NEURAUTER JR, GEORGE C | 2459 | §102 | Non-Final OA | — | Pending | Jan 03, 2025 |
| 18964972 | Vertically Stacked 8T Complementary FET SRAM | International Business Machines Corporation | KING, DANIEL JOHN | 2827 | §103§112 | Non-Final OA | — | Pending | Dec 02, 2024 |
| 18828278 | Object Abstraction in Smart Vehicles to Balance Vehicle Functionality with Confidentiality Preservation | International Business Machines Corporation | KOETH, MICHELLE M | 2671 | §103 | Final Rejection | — | Pending | Sep 09, 2024 |
| 18826280 | SIMPLIFYING CONDITIONAL STRUCTURES FOR LOOP OPTIMIZATION | International Business Machines Corporation | MALIK, ZEERICK ASIM | 2193 | §101§103§112 | Non-Final OA | — | Pending | Sep 06, 2024 |
| 18790258 | OPTIMIZING DISRUPTIVE UPDATES FOR SINGLE NODE DEPLOYMENTS IN AN ORCHESTRATION PLATFORM | International Business Machines Corporation | WHEATON, BRADFORD F | 2193 | §103 | Non-Final OA | — | Pending | Jul 31, 2024 |
| 18768474 | Increasing Visibility of Similar Designators | International Business Machines Corporation | PHANTANA ANGKOOL, DAVID | 2172 | §103 | Final Rejection | — | Pending | Jul 10, 2024 |
| 18651801 | Correlating Local Resolvers to Clients | International Business Machines Corporation | SUN, ANDREW NMN | §103 | Final Rejection | — | Pending | May 01, 2024 | |
| 18636481 | METHOD OF TRAINING MACHINE LEARING MODEL FOR MANAGING PROMPTS | International Business Machines Corporation | DETERDING, GWYNEVERE AMELIA | §101§103 | Non-Final OA | — | Pending | Apr 16, 2024 | |
| 18615123 | Hypervisor-Directed Central Processing Unit Utilization | International Business Machines Corporation | JOHNSON, TODD JEFFREY | §103 | Non-Final OA | — | Pending | Mar 25, 2024 | |
| 18475510 | Log Storage System with Improved Utilization of Storage Space | International Business Machines Corporation | WOOD, WILLIAM C | 2193 | §103 | Non-Final OA | 71d | Pending | Sep 27, 2023 |
| 18362726 | Artificial Intelligence Model Factory | International Business Machines Corporation | ALI, NAYMUR RAHMAN | 2123 | §103§112 | Non-Final OA | — | Pending | Jul 31, 2023 |
| 18317475 | New Data Class Generation Based on Static Reference Data | International Business Machines Corporation | NGUYEN, CAM LINH T | §101 | Final Rejection | — | Pending | May 15, 2023 | |
| 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 | Non-Final OA | — | Pending | Mar 03, 2023 |
| 17935199 | Dynamic Control of Message Expiry by Messaging Middleware | International Business Machines Corporation | BLAIR, APRIL YING SHAN | 2196 | §103 | Non-Final OA | — | Pending | Sep 26, 2022 |
| 17655040 | TIME-CONSISTENT RISK-SENSITIVE DECISION-MAKING WITH PROBABILISTIC DISCOUNT | International Business Machines Corporation | SCHEUNEMANN, RICHARD N | 3624 | §101 | Final Rejection | — | Pending | Mar 16, 2022 |
| 17148412 | Information Matching Using Subgraphs | International Business Machines Corporation | KIM, TAELOR | 2859 | §101 | Non-Final OA | — | Pending | Jan 13, 2021 |
| 17037816 | ENTITY INFORMATION ENRICHMENT FOR COMPANY DETERMINATIONS | International Business Machines Corporation | TRIEU, EM N | 2128 | §103§112 | Non-Final OA | 16d | Pending | Sep 30, 2020 |
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