Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Computing & Software
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Ancestry.com DNA LLC is currently managing 5 pending office actions within the Biotechnology & Pharmaceuticals technology area. These 5 actions are distributed across 4 distinct art units, suggesting that the company's research output in this sector is technically diverse. Having 4 units involved for only 5 actions indicates that the portfolio is not concentrated in a single specialized niche, which requires a versatile approach to different examination criteria.
There are 5 distinct examiners assigned to these matters, resulting in a matching ratio of examiners to pending actions. Cheryl Renea Lewis is identified as the busiest examiner for the company, though they currently hold only 1 pending action. This distribution means that every pending case is being reviewed by a different person. For the practitioner, this implies that successful strategies used with Cheryl Renea Lewis or other examiners may not be directly applicable to other active files in the portfolio due to the lack of examiner overlap across the 4 distinct art units.
Based on the USPTO statutory response window for each pending office action. 1 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 | 1 (20%) |
| §101 + other | 3 (60%) |
| §103 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 |
|---|---|---|---|
| LEWIS, CHERYL RENEA | 1 | 92.7% | +7.9% |
| MOSER, BRUCE M | 1 | 84.2% | +20.1% |
| LIN, JERRY | 1 | 72.3% | +14.7% |
| PLAYER, ROBERT AUSTIN | 1 | 14.3% | +33.8% |
| LUO, JAMMY NMN | 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 |
|---|---|---|---|
| 19334627 | GENERATING AND POPULATING DATA-LINK TREES FROM RELATIONSHIP CLUSTERS | LEWIS, CHERYL RENEA | — |
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 |
|---|---|---|---|
| 18767926 | DETERMINING LABELS OF INHERITANCE DATASETS USING SIMULATED DATA INSTANCES | MOSER, BRUCE M | 19d |
| 18207631 | ESTIMATION OF PHENOTYPES USING DNA, PEDIGREE, AND HISTORICAL DATA | LIN, JERRY | — |
| 18057700 | DETECTING IBD EFFICIENTLY USING A DISTRIBUTED SYSTEM | PLAYER, ROBERT AUSTIN | — |
| 17825220 | IDENTIFICATION OF MATCHED SEGMENTED IN PAIRED DATASETS | LUO, JAMMY NMN | — |
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 |
|---|---|---|---|
| 18767926 | DETERMINING LABELS OF INHERITANCE DATASETS USING SIMULATED DATA INSTANCES | MOSER, BRUCE M | 19d |
| 18207631 | ESTIMATION OF PHENOTYPES USING DNA, PEDIGREE, AND HISTORICAL DATA | LIN, JERRY | — |
| 18057700 | DETECTING IBD EFFICIENTLY USING A DISTRIBUTED SYSTEM | PLAYER, ROBERT AUSTIN | — |
| Art Unit | Apps |
|---|---|
| 1686 | 2 |
| 2166 | 1 |
| 2154 | 1 |
| 1671 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19334627 | GENERATING AND POPULATING DATA-LINK TREES FROM RELATIONSHIP CLUSTERS | LEWIS, CHERYL RENEA | 2166 | §103 | Non-Final OA | — | Pending | Sep 19, 2025 |
| 18767926 | DETERMINING LABELS OF INHERITANCE DATASETS USING SIMULATED DATA INSTANCES | MOSER, BRUCE M | 2154 | §101 | Non-Final OA | 19d | Pending | Jul 09, 2024 |
| 18207631 | ESTIMATION OF PHENOTYPES USING DNA, PEDIGREE, AND HISTORICAL DATA | LIN, JERRY | 1671 | §101§102DP | Non-Final OA | — | Pending | Jun 08, 2023 |
| 18057700 | DETECTING IBD EFFICIENTLY USING A DISTRIBUTED SYSTEM | PLAYER, ROBERT AUSTIN | 1686 | §101§103§112Other | Non-Final OA | — | Pending | Nov 21, 2022 |
| 17825220 | IDENTIFICATION OF MATCHED SEGMENTED IN PAIRED DATASETS | LUO, JAMMY NMN | 1686 | §101§103§112 | Final Rejection | — | Pending | May 26, 2022 |
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