Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 5 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 17 patents granted in the last 365 days
Goldman Sachs & Co. LLC has 7 pending office actions in the Computing & Software technology area. These matters are distributed across 5 distinct art units. The company works with 7 distinct examiners. The 5 distinct art units suggest that the company's 7 active filings cover several different technical sub-sectors within the computing and software field.
BLAINE T BASOM is the busiest examiner, with 1 pending action. Because there are 7 pending office actions and 7 distinct examiners, each examiner is handling exactly one matter. This lack of examiner overlap means the company must manage 7 different relationships at the patent office. For a practitioner, the fact that 7 distinct examiners are involved across 5 distinct art units indicates that the company's 7 pending office actions are being reviewed by a diverse group of officials with varying technical perspectives.
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 + other | 4 (57%) |
| §103 only | 2 (29%) |
| Multi-statute (no §101) | 1 (14%) |
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 |
|---|---|---|---|
| BASOM, BLAINE T | 1 | 43.2% | +20.8% |
| NAJI, YOUNES | 1 | 75.2% | +73.4% |
| ELIAS, EARL L | 1 | 57.8% | +21.0% |
| JONES, COURTNEY PATRICE | 1 | 68.8% | +22.0% |
| NGUYEN, HENRY K | 1 | 59.3% | +26.5% |
| HASBROUCK, MERRITT J | 1 | 9.8% | +7.0% |
| KIM, DAVID | 1 | 100.0% | +0.0% |
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 |
|---|---|---|---|
| 18160201 | SYSTEM AND METHOD FOR OPTIMIZER WITH ENHANCED NEURAL ESTIMATION | KIM, DAVID | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18217330 | ACCOUNT STRUCTURE WITH INTERACTIONS TRIGGERED BY DETECTED CHANGES IN THE ACCOUNTS | HASBROUCK, MERRITT J | 87d overdue |
| 18492477 | DIGITAL ASSETS PLATFORM | JONES, COURTNEY PATRICE | 16d |
| 19300456 | DATA GENERATION AND RETRAINING TECHNIQUES FOR FINE-TUNING OF BI-ENCODING AND CROSS-ENCODING MODELS FOR EFFICIENT DATA RETRIEVAL | BASOM, BLAINE T | — |
| 19188689 | FAST ROBUST ORACLES VIA DECENTRALIZED AUTONOMOUS ORGANIZATIONS | NAJI, YOUNES | — |
| 18376532 | QUANTUM INTERIOR POINT METHOD | NGUYEN, HENRY K | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18620064 | BACKWARD COMPATIBLE AND SCALABLE HETEROGENEOUS DATABASE SYSTEM | ELIAS, EARL L | 8d overdue |
| 18492477 | DIGITAL ASSETS PLATFORM | JONES, COURTNEY PATRICE | 16d |
| 19300456 | DATA GENERATION AND RETRAINING TECHNIQUES FOR FINE-TUNING OF BI-ENCODING AND CROSS-ENCODING MODELS FOR EFFICIENT DATA RETRIEVAL | BASOM, BLAINE T | — |
| 19188689 | FAST ROBUST ORACLES VIA DECENTRALIZED AUTONOMOUS ORGANIZATIONS | NAJI, YOUNES | — |
| 18376532 | QUANTUM INTERIOR POINT METHOD | NGUYEN, HENRY K | — |
| Art Unit | Apps |
|---|---|
| 2141 | 2 |
| 2169 | 1 |
| 3699 | 1 |
| 4100 | 1 |
| 3695 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19300456 | DATA GENERATION AND RETRAINING TECHNIQUES FOR FINE-TUNING OF BI-ENCODING AND CROSS-ENCODING MODELS FOR EFFICIENT DATA RETRIEVAL | BASOM, BLAINE T | 2141 | §101§102§103 | Non-Final OA | — | Pending | Aug 14, 2025 |
| 19188689 | FAST ROBUST ORACLES VIA DECENTRALIZED AUTONOMOUS ORGANIZATIONS | NAJI, YOUNES | — | §101§103§112DP | Non-Final OA | — | Pending | Apr 24, 2025 |
| 18620064 | BACKWARD COMPATIBLE AND SCALABLE HETEROGENEOUS DATABASE SYSTEM | ELIAS, EARL L | 2169 | §103 | Final Rejection | 8d overdue | Pending | Mar 28, 2024 |
| 18492477 | DIGITAL ASSETS PLATFORM | JONES, COURTNEY PATRICE | 3699 | §102§103 | Non-Final OA | 16d | Pending | Oct 23, 2023 |
| 18376532 | QUANTUM INTERIOR POINT METHOD | NGUYEN, HENRY K | 4100 | §101§103§112 | Non-Final OA | — | Pending | Oct 04, 2023 |
| 18217330 | ACCOUNT STRUCTURE WITH INTERACTIONS TRIGGERED BY DETECTED CHANGES IN THE ACCOUNTS | HASBROUCK, MERRITT J | 3695 | §101§103 | Non-Final OA | 87d overdue | Pending | Jun 30, 2023 |
| 18160201 | SYSTEM AND METHOD FOR OPTIMIZER WITH ENHANCED NEURAL ESTIMATION | KIM, DAVID | 2141 | §103 | Non-Final OA | — | Pending | Jan 26, 2023 |
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