Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security • Communications
7 pending office actions • 1 client • 7 examiners • 6 art units • 0 of 7 (0%) have an AI response strategy ready • 16 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 (14%) |
| §101 + other | 2 (29%) |
| §103 only | 4 (57%) |
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 |
|---|---|---|---|
| NGUYEN, CAM LINH T | 1 | 83.9% | +13.4% |
| CRESPO FEBLES, HECTOR J | 1 | 100.0% | +0.0% |
| HERZOG, MADHURI R | 1 | 78.3% | +12.4% |
| WASAFF, JOHN S. | 1 | 33.8% | +44.0% |
| PHAM, JESSICA THUY | 1 | 18.2% | +90.0% |
| CHOWDHURY, NIGAR | 1 | 69.0% | +16.9% |
| CHAVEZ, RODRIGO A | 1 | 52.5% | +38.0% |
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 |
|---|---|---|---|
| 19039572 | Human-Machine Interfaces for Utterance-Based Playlist Selection | CRESPO FEBLES, HECTOR J | — |
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 |
|---|---|---|---|
| 18056101 | CONTRASTIVE EMBEDDING OF STRUCTURED SPACE FOR BAYESIAN OPTIMIZATION | PHAM, JESSICA THUY | 28d |
| 19090827 | Media Content Item Recommendation System | NGUYEN, CAM LINH T | — |
| 18589139 | SYSTEMS AND METHODS FOR DONOR SELECTION FOR SYNTHETIC CONTROL MODELS | WASAFF, JOHN S. | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17898191 | GROUP LISTENING SESSION DISCOVERY | CHOWDHURY, NIGAR | 9d |
| 18056101 | CONTRASTIVE EMBEDDING OF STRUCTURED SPACE FOR BAYESIAN OPTIMIZATION | PHAM, JESSICA THUY | 28d |
| 17584512 | SERVER-BASED FALSE WAKE WORD DETECTION | CHAVEZ, RODRIGO A | 34d |
| 19090827 | Media Content Item Recommendation System | NGUYEN, CAM LINH T | — |
| 18976868 | Access Control for On-Device Machine Learning Models | HERZOG, MADHURI R | — |
| 18589139 | SYSTEMS AND METHODS FOR DONOR SELECTION FOR SYNTHETIC CONTROL MODELS | WASAFF, JOHN S. | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Spotify AB | 7 |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2653 | 1 |
| 2438 | 1 |
| 2121 | 1 |
| 2484 | 1 |
| 2658 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19090827 | Media Content Item Recommendation System | Spotify AB | NGUYEN, CAM LINH T | 2161 | §101Other | Final Rejection | — | Pending | Mar 26, 2025 |
| 19039572 | Human-Machine Interfaces for Utterance-Based Playlist Selection | Spotify AB | CRESPO FEBLES, HECTOR J | 2653 | §103 | Non-Final OA | — | Pending | Jan 28, 2025 |
| 18976868 | Access Control for On-Device Machine Learning Models | Spotify AB | HERZOG, MADHURI R | 2438 | §103Other | Final Rejection | — | Pending | Dec 11, 2024 |
| 18589139 | SYSTEMS AND METHODS FOR DONOR SELECTION FOR SYNTHETIC CONTROL MODELS | Spotify AB | WASAFF, JOHN S. | §101§103 | Non-Final OA | — | Pending | Feb 27, 2024 | |
| 18056101 | CONTRASTIVE EMBEDDING OF STRUCTURED SPACE FOR BAYESIAN OPTIMIZATION | Spotify AB | PHAM, JESSICA THUY | 2121 | §101§103§112 | Final Rejection | 28d | Pending | Nov 16, 2022 |
| 17898191 | GROUP LISTENING SESSION DISCOVERY | Spotify AB | CHOWDHURY, NIGAR | 2484 | §103 | Final Rejection | 9d | Pending | Aug 29, 2022 |
| 17584512 | SERVER-BASED FALSE WAKE WORD DETECTION | Spotify AB | CHAVEZ, RODRIGO A | 2658 | §103 | Final Rejection | 34d | Pending | Jan 26, 2022 |
IP Author helps law firms respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial