Technology areas: Computing & Software • Communications • Transportation, E-Commerce & Mechanical Systems
9 pending office actions • 9 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 19 patents granted in the last 365 days
BOLD Limited has 10 pending office actions in Computing & Software. The docket involves 10 distinct examiners and 10 distinct art units, so each recorded action is associated with its own examiner and art-unit combination.
HUTCHESON, CODY DOUGLAS is the busiest examiner, with 1 pending matter. There is no recorded examiner concentration, making portfolio-wide harmonization of claim language and disclosure useful, while requiring separate analysis of the examination issues in each matter.
The breadth of assignments may affect how efficiently a single response template can be reused. Counsel should identify genuinely shared claim or specification issues, then adapt arguments to the individual art-unit and examiner context.
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 | 1 (11%) |
| §101 + other | 6 (67%) |
| §103 only | 1 (11%) |
| Double-patenting + other | 1 (11%) |
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 |
|---|---|---|---|
| HUTCHESON, CODY DOUGLAS | 1 | 58.8% | +28.5% |
| ADAMS, CHARLES D | 1 | 44.9% | +43.4% |
| GOMEZ, CHRISTOPHER ALBERT | 1 | 26.4% | +30.9% |
| PATEL, DIPEN M | 1 | 20.0% | +23.7% |
| RYLANDER, BART I | 1 | 69.4% | +9.3% |
| ANDERSON, SCOTT C | 1 | 58.6% | +31.8% |
| PARKER, JEANETTE J | 1 | 62.2% | +32.3% |
| WILLIS, AMANDA LYNN | 1 | 35.9% | +26.5% |
| DAUD, ABDULLAH AHMED | 1 | 55.1% | +30.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19051586 | MODEL-AGNOSTIC GENERATION OF REFINED PROMPTS BASED ON PRE-PROCESSED TASK DESCRIPTIONS AND EXPECTED OUTPUT STRUCTURES | HUTCHESON, CODY DOUGLAS | — |
| 19041893 | ENHANCED FIDELITY SYSTEMS AND METHODS FOR DIGITAL PORTAL DATA REFINEMENT | ADAMS, CHARLES D | — |
| 19038282 | PROFILE-BASED DATA AGGREGATION FOR DYNAMIC DOCUMENT GENERATION | GOMEZ, CHRISTOPHER ALBERT | — |
| 19009851 | MACHINE LEARNING-BASED METHOD AND SYSTEM TO RETAIN CUSTOMERS | PATEL, DIPEN M | — |
| 18622747 | DYNAMIC CONTENT GENERATOR | RYLANDER, BART I | — |
| 18434675 | MACHINE LEARNING DOCUMENT PARSER | ANDERSON, SCOTT C | — |
| 18428970 | MULTI-INPUT BASED CONTENT CREATION SYSTEM AND METHOD | PARKER, JEANETTE J | — |
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 |
|---|---|---|---|
| 18510581 | SYSTEMS AND METHODS FOR CREATING ENHANCED DOCUMENTS FOR PERFECT AUTOMATED PARSING | WILLIS, AMANDA LYNN | 44d overdue |
| 18160166 | SYSTEMS AND METHODS FOR IMPROVED SEARCH AND INTERACTION WITH AN ONLINE PROFILE | DAUD, ABDULLAH AHMED | 29d |
| 19051586 | MODEL-AGNOSTIC GENERATION OF REFINED PROMPTS BASED ON PRE-PROCESSED TASK DESCRIPTIONS AND EXPECTED OUTPUT STRUCTURES | HUTCHESON, CODY DOUGLAS | — |
| 19041893 | ENHANCED FIDELITY SYSTEMS AND METHODS FOR DIGITAL PORTAL DATA REFINEMENT | ADAMS, CHARLES D | — |
| 19038282 | PROFILE-BASED DATA AGGREGATION FOR DYNAMIC DOCUMENT GENERATION | GOMEZ, CHRISTOPHER ALBERT | — |
| 19009851 | MACHINE LEARNING-BASED METHOD AND SYSTEM TO RETAIN CUSTOMERS | PATEL, DIPEN M | — |
| 18434675 | MACHINE LEARNING DOCUMENT PARSER | ANDERSON, SCOTT C | — |
| 18428970 | MULTI-INPUT BASED CONTENT CREATION SYSTEM AND METHOD | PARKER, JEANETTE J | — |
| Art Unit | Apps |
|---|---|
| 2659 | 1 |
| 2165 | 1 |
| 3628 | 1 |
| 3621 | 1 |
| 2124 | 1 |
| 3694 | 1 |
| 2646 | 1 |
| 2156 | 1 |
| 2164 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19051586 | MODEL-AGNOSTIC GENERATION OF REFINED PROMPTS BASED ON PRE-PROCESSED TASK DESCRIPTIONS AND EXPECTED OUTPUT STRUCTURES | HUTCHESON, CODY DOUGLAS | 2659 | §101§103 | Non-Final OA | — | Pending | Feb 12, 2025 |
| 19041893 | ENHANCED FIDELITY SYSTEMS AND METHODS FOR DIGITAL PORTAL DATA REFINEMENT | ADAMS, CHARLES D | 2165 | §101§103 | Final Rejection | — | Pending | Jan 30, 2025 |
| 19038282 | PROFILE-BASED DATA AGGREGATION FOR DYNAMIC DOCUMENT GENERATION | GOMEZ, CHRISTOPHER ALBERT | 3628 | §101 | Non-Final OA | — | Pending | Jan 27, 2025 |
| 19009851 | MACHINE LEARNING-BASED METHOD AND SYSTEM TO RETAIN CUSTOMERS | PATEL, DIPEN M | 3621 | §101§103 | Final Rejection | — | Pending | Jan 03, 2025 |
| 18622747 | DYNAMIC CONTENT GENERATOR | RYLANDER, BART I | 2124 | §101§103 | Non-Final OA | — | Pending | Mar 29, 2024 |
| 18434675 | MACHINE LEARNING DOCUMENT PARSER | ANDERSON, SCOTT C | 3694 | §101§103§112 | Non-Final OA | — | Pending | Feb 06, 2024 |
| 18428970 | MULTI-INPUT BASED CONTENT CREATION SYSTEM AND METHOD | PARKER, JEANETTE J | 2646 | §101§103 | Final Rejection | — | Pending | Jan 31, 2024 |
| 18510581 | SYSTEMS AND METHODS FOR CREATING ENHANCED DOCUMENTS FOR PERFECT AUTOMATED PARSING | WILLIS, AMANDA LYNN | 2156 | §103DP | Non-Final OA | 44d overdue | Pending | Nov 15, 2023 |
| 18160166 | SYSTEMS AND METHODS FOR IMPROVED SEARCH AND INTERACTION WITH AN ONLINE PROFILE | DAUD, ABDULLAH AHMED | 2164 | §103 | Final Rejection | 29d | Pending | Jan 26, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialBOLD Limited has 9 pending office actions as of October 2026, spread across 9 art units and 9 examiners.
Cody Douglas Hutcheson has the most, with 1 of BOLD Limited's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
