11 pending office actions • 1 client • 11 examiners • 9 art units • 5 of 11 (45%) 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. 11 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. 11 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 | 1 (9%) |
| §103 only | 9 (82%) |
| §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 |
|---|---|---|---|
| HASAN, SYED HAROON | 1 | 81.7% | +15.2% |
| SNIDER, SCOTT | 1 | 29.1% | +18.3% |
| MACASIANO, MARILYN G | 1 | 57.2% | +17.4% |
| CARVALHO, ERROL A | 1 | 15.3% | +18.5% |
| PARRA, OMAR S | 1 | 74.0% | +9.6% |
| MOORE, URIAH VENDELL | 1 | — | — |
| CHUANG, SU-TING | 1 | 50.0% | +37.2% |
| PADUA, NICO LAUREN | 1 | 9.1% | +15.8% |
| EVANS, KIMBERLY L | 1 | 12.2% | +13.4% |
| KARTHOLY, REJI P | 1 | 64.7% | +72.1% |
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 |
|---|---|---|---|
| 19190006 | SEARCH SUMMARY GENERATION BASED ON SEARCHER CHARACTERISTICS | HASAN, SYED HAROON | 11d overdue |
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 |
|---|---|---|---|
| 17881082 | SEARCH SYSTEM AND METHOD TO IDENTIFY RESOURCES FOR CONNECTIONS OF A MEMBER IN AN ONLINE SERVICE | PADUA, NICO LAUREN | 118d overdue |
| 18828098 | TARGETING TECHNIQUES FOR PROMOTED JOB POSTINGS | SNIDER, SCOTT | 112d overdue |
| 18602361 | PREDICTION TOOL FOR SUGGESTING CONTENT FOR USERS | CARVALHO, ERROL A | 9d overdue |
| 17842128 | MULTI-ATTRIBUTE MATCHING FOR CANDIDATE SELECTION IN RECOMMENDATION SYSTEMS | EVANS, KIMBERLY L | 30d |
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 |
|---|---|---|---|
| 17881082 | SEARCH SYSTEM AND METHOD TO IDENTIFY RESOURCES FOR CONNECTIONS OF A MEMBER IN AN ONLINE SERVICE | PADUA, NICO LAUREN | 118d overdue |
| 18828098 | TARGETING TECHNIQUES FOR PROMOTED JOB POSTINGS | SNIDER, SCOTT | 112d overdue |
| 19190006 | SEARCH SUMMARY GENERATION BASED ON SEARCHER CHARACTERISTICS | HASAN, SYED HAROON | 11d overdue |
| 18602361 | PREDICTION TOOL FOR SUGGESTING CONTENT FOR USERS | CARVALHO, ERROL A | 9d overdue |
| 17719740 | DEEP REINFORCEMENT LEARNING FOR SKILL RECOMMENDATION | KARTHOLY, REJI P | 4d overdue |
| 18759564 | IDENTIFYING A TARGET CONTENT ITEM GROUP USING OFFLINE EMBEDDING BASED RETRIEVAL | MACASIANO, MARILYN G | 2d overdue |
| 17842128 | MULTI-ATTRIBUTE MATCHING FOR CANDIDATE SELECTION IN RECOMMENDATION SYSTEMS | EVANS, KIMBERLY L | 30d |
| 18213061 | GENERATIVE ARTIFICIAL INTELLIGENCE FOR EMBEDDINGS USED AS INPUTS TO MACHINE LEARNING MODELS | CHUANG, SU-TING | 41d |
| Client (Assignee) | Pending OAs |
|---|---|
| Microsoft | 11 |
| Art Unit | Apps |
|---|---|
| 3622 | 2 |
| 2146 | 2 |
| 2154 | 1 |
| 3621 | 1 |
| 2421 | 1 |
| 2142 | 1 |
| 3626 | 1 |
| 3629 | 1 |
| 2143 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19190006 | SEARCH SUMMARY GENERATION BASED ON SEARCHER CHARACTERISTICS | Microsoft Technology Licensing, LLC | HASAN, SYED HAROON | 2154 | §103 | Non-Final OA | 11d overdue | Pending | Apr 25, 2025 |
| 18828098 | TARGETING TECHNIQUES FOR PROMOTED JOB POSTINGS | Microsoft Technology Licensing, LLC | SNIDER, SCOTT | 3621 | §103 | Non-Final OA | 112d overdue | Pending | Sep 09, 2024 |
| 18759564 | IDENTIFYING A TARGET CONTENT ITEM GROUP USING OFFLINE EMBEDDING BASED RETRIEVAL | Microsoft Technology Licensing, LLC | MACASIANO, MARILYN G | 3622 | §102 | Final Rejection | 2d overdue | AI Ready | Jun 28, 2024 |
| 18602361 | PREDICTION TOOL FOR SUGGESTING CONTENT FOR USERS | Microsoft Technology Licensing, LLC | CARVALHO, ERROL A | 3622 | §103 | Non-Final OA | 9d overdue | AI Ready | Mar 12, 2024 |
| 18400975 | DYNAMIC FREQUENCY CAP FOR CONTENT DELIVERY | Microsoft Technology Licensing, LLC | PARRA, OMAR S | 2421 | §103 | Final Rejection | 22d | AI Ready | Dec 29, 2023 |
| 18217212 | END-TO-END AUTOMATION OPTIMIZATION FLYWHEEL | Microsoft Technology Licensing, LLC | MOORE, URIAH VENDELL | 2142 | §103 | Non-Final OA | 61d | Pending | Jun 30, 2023 |
| 18213061 | GENERATIVE ARTIFICIAL INTELLIGENCE FOR EMBEDDINGS USED AS INPUTS TO MACHINE LEARNING MODELS | Microsoft Technology Licensing, LLC | CHUANG, SU-TING | 2146 | §103 | Non-Final OA | 41d | Pending | Jun 22, 2023 |
| 17881082 | SEARCH SYSTEM AND METHOD TO IDENTIFY RESOURCES FOR CONNECTIONS OF A MEMBER IN AN ONLINE SERVICE | Microsoft Technology Licensing, LLC | PADUA, NICO LAUREN | 3626 | §101 | Final Rejection | 118d overdue | AI Ready | Aug 04, 2022 |
| 17842128 | MULTI-ATTRIBUTE MATCHING FOR CANDIDATE SELECTION IN RECOMMENDATION SYSTEMS | Microsoft Technology Licensing, LLC | EVANS, KIMBERLY L | 3629 | §103 | Non-Final OA | 30d | Pending | Jun 16, 2022 |
| 17719740 | DEEP REINFORCEMENT LEARNING FOR SKILL RECOMMENDATION | Microsoft Technology Licensing, LLC | KARTHOLY, REJI P | 2143 | §103 | Non-Final OA | 4d overdue | Pending | Apr 13, 2022 |
| 17698374 | DOWN FUNNEL OPTIMIZATION WITH MACHINE-LEARNED LABELS | Microsoft Technology Licensing, LLC | SALOMON, PHENUEL S | 2146 | §103 | Non-Final OA | 12d | AI Ready | Mar 18, 2022 |
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