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 • 13 patents granted in the last 365 days
Thomson Reuters Enterprise Centre GmbH is currently managing 7 pending office actions within the Computing & Software technology area. These actions are assigned to 7 distinct examiners, which means that every pending case is being reviewed by a different individual. The prosecution is distributed across 5 distinct art units, indicating a broad technical scope for the company's software-related intellectual property.
UBER, NATHAN C is the busiest examiner for this portfolio, holding 1 of the pending office actions. Since there are 7 pending office actions and 7 distinct examiners, the workload is evenly split, and no single examiner has a dominant role. The 5 distinct art units show that the company's 7 pending office actions cover a variety of specialized computing fields.
The 7 distinct examiners working in 5 distinct art units provide Thomson Reuters Enterprise Centre GmbH with a wide range of feedback from the patent office. Because UBER, NATHAN C only manages 1 pending office action, his influence is limited to a single case. Practitioners should monitor the 5 distinct art units to identify broader trends in how the Computing & Software area is being examined.
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 | 2 (29%) |
| §101 + other | 2 (29%) |
| §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 |
|---|---|---|---|
| UBER, NATHAN C | 1 | 3.4% | +5.5% |
| FOROUHARNEJAD, FAEZEH | 1 | 66.4% | +25.7% |
| LEMIEUX, JESSICA | 1 | 65.2% | +23.6% |
| HALE, BROOKS T | 1 | 51.1% | +34.1% |
| SOMERS, MARC S | 1 | 65.0% | +34.4% |
| BAKER, IRENE H | 1 | 53.2% | +26.0% |
| KHAN, SHAHID K | 1 | 74.6% | +15.3% |
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 |
|---|---|---|---|
| 18466746 | SYSTEMS AND METHODS FOR IDENTIFYING A RISK OF PARTLY OVERRULED CONTENT BASED ON CITATIONALLY RELATED CONTENT | HALE, BROOKS T | 16d |
| 19181065 | COMPUTER TOOL FOR DETERMINING APPLICABLE LEGAL CLAIMS FROM A FACT PATTERN | UBER, NATHAN C | — |
| 18731864 | LEGAL RESEARCH RECOMMENDATION SYSTEM | LEMIEUX, JESSICA | — |
| 18465971 | DETECTING CITED WITH CONNECTIONS IN LEGAL DOCUMENTS AND GENERATING RECORDS OF SAME | SOMERS, MARC S | — |
| 18465973 | INTERACTIVE TOOL FOR DETERMINING A HEADNOTE REPORT | BAKER, IRENE H | — |
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 |
|---|---|---|---|
| 18917941 | RETRIEVAL-AUGMENTED CONTENT GENERATION FOR LEGAL RESEARCH | FOROUHARNEJAD, FAEZEH | 9d overdue |
| 18466746 | SYSTEMS AND METHODS FOR IDENTIFYING A RISK OF PARTLY OVERRULED CONTENT BASED ON CITATIONALLY RELATED CONTENT | HALE, BROOKS T | 16d |
| 18731864 | LEGAL RESEARCH RECOMMENDATION SYSTEM | LEMIEUX, JESSICA | — |
| 18465971 | DETECTING CITED WITH CONNECTIONS IN LEGAL DOCUMENTS AND GENERATING RECORDS OF SAME | SOMERS, MARC S | — |
| 18465973 | INTERACTIVE TOOL FOR DETERMINING A HEADNOTE REPORT | BAKER, IRENE H | — |
| 17980360 | SYSTEM AND METHOD FOR BUILDING DOCUMENT RELATIONSHIPS AND AGGREGATES | KHAN, SHAHID K | — |
| Art Unit | Apps |
|---|---|
| 3626 | 2 |
| 2166 | 2 |
| 2159 | 1 |
| 2152 | 1 |
| 2146 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19181065 | COMPUTER TOOL FOR DETERMINING APPLICABLE LEGAL CLAIMS FROM A FACT PATTERN | UBER, NATHAN C | 3626 | §101§103 | Final Rejection | — | Pending | Apr 16, 2025 |
| 18917941 | RETRIEVAL-AUGMENTED CONTENT GENERATION FOR LEGAL RESEARCH | FOROUHARNEJAD, FAEZEH | 2166 | §103 | Final Rejection | 9d overdue | Pending | Oct 16, 2024 |
| 18731864 | LEGAL RESEARCH RECOMMENDATION SYSTEM | LEMIEUX, JESSICA | 3626 | §101 | Non-Final OA | — | Pending | Jun 03, 2024 |
| 18466746 | SYSTEMS AND METHODS FOR IDENTIFYING A RISK OF PARTLY OVERRULED CONTENT BASED ON CITATIONALLY RELATED CONTENT | HALE, BROOKS T | 2166 | §101 | Non-Final OA | 16d | Pending | Sep 13, 2023 |
| 18465971 | DETECTING CITED WITH CONNECTIONS IN LEGAL DOCUMENTS AND GENERATING RECORDS OF SAME | SOMERS, MARC S | 2159 | §101§103 | Non-Final OA | — | Pending | Sep 12, 2023 |
| 18465973 | INTERACTIVE TOOL FOR DETERMINING A HEADNOTE REPORT | BAKER, IRENE H | 2152 | §103§112 | Final Rejection | — | Pending | Sep 12, 2023 |
| 17980360 | SYSTEM AND METHOD FOR BUILDING DOCUMENT RELATIONSHIPS AND AGGREGATES | KHAN, SHAHID K | 2146 | §103 | Non-Final OA | — | Pending | Nov 03, 2022 |
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