Prosecution Insights
Prosecution Insights
5 pending office actions • 1 client • 5 examiners • 5 art units • 0 of 5 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 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. 5 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 only | 3 (60%) |
| §103 only | 1 (20%) |
| §102 only | 1 (20%) |
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 |
|---|---|---|---|
| HAILU, TADESSE | 1 | 77.8% | +3.9% |
| POE, KEVIN T | 1 | 39.6% | +16.1% |
| PHAM, KHANH B | 1 | 72.3% | +15.4% |
| GUNN, JEREMY L | 1 | 29.2% | +45.1% |
| LOFTIS, JOHNNA RONEE | 1 | 43.3% | +4.1% |
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 |
|---|---|---|---|
| 17592671 | COMPUTERIZED SYSTEMS AND METHODS FOR INTELLIGENT LISTENING AND SURVEY DISTRIBUTION | LOFTIS, JOHNNA RONEE | 89d overdue |
| 17693753 | COMPUTERIZED SYSTEMS AND METHODS FOR AUTOMATED PERFORMANCE OF GROWING BASELINE ASSESSMENTS | GUNN, JEREMY L | 71d overdue |
| 18302256 | AUTOMATED ANOMALY DETECTION USING MACHINE LEARNING AND BINARY POINT ANOMALY METHODS | POE, KEVIN T | 7d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17693753 | COMPUTERIZED SYSTEMS AND METHODS FOR AUTOMATED PERFORMANCE OF GROWING BASELINE ASSESSMENTS | GUNN, JEREMY L | 71d overdue |
| 17821640 | PERSONALIZED QUESTION ANSWERING USING SEMANTIC CACHING | PHAM, KHANH B | 3d overdue |
| 18302256 | AUTOMATED ANOMALY DETECTION USING MACHINE LEARNING AND BINARY POINT ANOMALY METHODS | POE, KEVIN T | 7d |
| Client (Assignee) | Pending OAs |
|---|---|
| WORKDAY, INC. | 5 |
| Art Unit | Apps |
|---|---|
| 2174 | 1 |
| 3692 | 1 |
| 2166 | 1 |
| 3624 | 1 |
| 3625 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18592271 | USING LARGE LANGUAGE MODEL AGENTS FOR ROBUST AND PERFORMANT USER INTERFACE AUTOMATION | Workday, Inc. | HAILU, TADESSE | 2174 | §102 | Non-Final OA | 11d overdue | Pending | Feb 29, 2024 |
| 18302256 | AUTOMATED ANOMALY DETECTION USING MACHINE LEARNING AND BINARY POINT ANOMALY METHODS | Workday, Inc. | POE, KEVIN T | 3692 | §101 | Final Rejection | 7d | Pending | Apr 18, 2023 |
| 17821640 | PERSONALIZED QUESTION ANSWERING USING SEMANTIC CACHING | Workday, Inc. | PHAM, KHANH B | 2166 | §103 | Non-Final OA | 3d overdue | Pending | Aug 23, 2022 |
| 17693753 | COMPUTERIZED SYSTEMS AND METHODS FOR AUTOMATED PERFORMANCE OF GROWING BASELINE ASSESSMENTS | Workday, Inc. | GUNN, JEREMY L | 3624 | §101 | Non-Final OA | 71d overdue | Pending | Mar 14, 2022 |
| 17592671 | COMPUTERIZED SYSTEMS AND METHODS FOR INTELLIGENT LISTENING AND SURVEY DISTRIBUTION | Workday, Inc. | LOFTIS, JOHNNA RONEE | 3625 | §101 | Non-Final OA | 89d overdue | Pending | Feb 04, 2022 |
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