Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19311017 | Method and System for Optimizing Use of Retrieval Augmented Generation Pipelines in Generative Artificial Intelligence Applications | August 2025 | March 2026 | Allow | 6 | 0 | 0 | No | No |
| 19306379 | Method and System for Optimizing Use of Retrieval Augmented Generation Pipelines in Generative Artificial Intelligence Applications | August 2025 | March 2026 | Allow | 6 | 0 | 0 | No | No |
| 19305085 | SUFFIX-BASED SPECULATIVE TOKEN DECODING FOR ARTIFICIAL INTELLIGENCE MODEL | August 2025 | November 2025 | Allow | 2 | 0 | 0 | No | No |
| 19229708 | SYSTEMS AND METHODS FOR AUTOMATED PROMPT GENERATION FOR INTELLIGENT ALERTING IN CONDITION MONITORING USING CONTEXTUAL LANGUAGE MODELS AND RETRIEVAL-AUGMENTED GENERATION | June 2025 | August 2025 | Allow | 3 | 0 | 0 | No | No |
| 19224046 | METHOD AND SYSTEM FOR CONVERTING FREE TEXT QUERIES TO KUSTO QUERY LANGUAGE (KQL) QUERIES | May 2025 | September 2025 | Allow | 4 | 0 | 0 | No | No |
| 19195374 | LARGE LANGUAGE MODEL PERFORMANCE EVALUATION AND MODIFICATION | April 2025 | July 2025 | Allow | 3 | 0 | 0 | No | No |
| 19174165 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | April 2025 | June 2025 | Allow | 3 | 0 | 0 | No | No |
| 19094630 | CONVERSATION METHODS, APPARATUS, ELECTRONIC DEVICES, STORAGE MEDIA, AND PRODUCTS | March 2025 | September 2025 | Allow | 6 | 1 | 0 | No | No |
| 19084517 | CHARACTER TURN SUMMARIES | March 2025 | August 2025 | Allow | 5 | 1 | 0 | No | No |
| 19112596 | INFORMATION PROCESSING SYSTEM, METHOD AND PROGRAM | March 2025 | September 2025 | Allow | 6 | 1 | 0 | No | No |
| 19062115 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | February 2025 | July 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 19062123 | Method and System for Protecting and Removing Private Information Used in Large Language Models | February 2025 | August 2025 | Allow | 6 | 1 | 0 | No | No |
| 19057835 | GENERATING RESPONSES USING A CONTEXT ENGINE COUPLED WITH A LOGIC ENGINE AND TIME PHRASE RESOLUTION | February 2025 | July 2025 | Allow | 4 | 1 | 0 | Yes | No |
| 19057610 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design Featuring Sequencing of Large Language Models | February 2025 | April 2025 | Allow | 2 | 0 | 0 | No | No |
| 19056496 | Method and System for Optimizing Use of Retrieval Augmented Generation Pipelines in Generative Artificial Intelligence Applications | February 2025 | May 2025 | Allow | 2 | 1 | 0 | No | No |
| 19051820 | Method and System for Optimizing Use of Retrieval Augmented Generation Pipelines in Generative Artificial Intelligence Applications | February 2025 | May 2025 | Allow | 3 | 1 | 0 | No | No |
| 19049815 | INSIGHT-BASED RESEARCH SYNTHESIS AND PROCESSING PLATFORM | February 2025 | August 2025 | Allow | 6 | 0 | 0 | No | No |
| 19040471 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | January 2025 | August 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 19017215 | PERSUASIVE CONVERSATIONAL AGENTS FOR SELECTING WORDS AND TONALITIES | January 2025 | August 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 18971687 | Method and System for Protecting and Removing Private Information Used in Large Language Models | December 2024 | March 2025 | Allow | 3 | 0 | 0 | No | No |
| 18970030 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | December 2024 | July 2025 | Allow | 8 | 1 | 0 | Yes | No |
| 18965072 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | December 2024 | July 2025 | Allow | 7 | 1 | 0 | No | No |
| 18953247 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | November 2024 | April 2025 | Allow | 5 | 1 | 0 | No | No |
| 18934298 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | November 2024 | April 2025 | Allow | 5 | 1 | 0 | No | No |
| 18921923 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | October 2024 | May 2025 | Allow | 6 | 1 | 0 | No | No |
| 18914659 | COMPUTER IMPLEMENTED METHODS FOR THE AUTOMATED ANALYSIS OR USE OF DATA, INCLUDING USE OF A LARGE LANGUAGE MODEL | October 2024 | May 2025 | Allow | 8 | 1 | 0 | No | No |
| 18914686 | COMPUTER IMPLEMENTED METHODS FOR THE AUTOMATED ANALYSIS OR USE OF DATA, INCLUDING USE OF A LARGE LANGUAGE MODEL | October 2024 | June 2025 | Allow | 8 | 1 | 0 | No | No |
| 18914717 | COMPUTER IMPLEMENTED METHODS FOR THE AUTOMATED ANALYSIS OR USE OF DATA, INCLUDING USE OF A LARGE LANGUAGE MODEL | October 2024 | June 2025 | Allow | 8 | 1 | 0 | No | No |
| 18889954 | SYSTEM AND METHOD FOR DYNAMICALLY-GENERATED GUIDED DIALOGUE USING ARTIFICIAL INTELLIGENCE | September 2024 | April 2025 | Allow | 7 | 1 | 0 | No | No |
| 18826342 | METHOD AND SYSTEM FOR MULTI-LEVEL ARTIFICIAL INTELLIGENCE SUPERCOMPUTER DESIGN | September 2024 | January 2025 | Allow | 5 | 1 | 0 | No | No |
| 18827005 | SYSTEMS AND METHODS FOR MACHINE LEARNING MODELS TO ASSESS AND EXTRACT DATA FROM USER INPUTS | September 2024 | February 2025 | Allow | 6 | 1 | 0 | No | No |
| 18812707 | METHOD AND SYSTEM FOR OPTIMIZING USE OF RETRIEVAL AUGMENTED GENERATION PIPELINES IN GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS | August 2024 | May 2025 | Allow | 9 | 1 | 0 | No | No |
| 18801421 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design Featuring Sequencing of Large Language Models | August 2024 | January 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18795345 | METHOD AND SYSTEM FOR MULTI-LEVEL ARTIFICIAL INTELLIGENCE SUPERCOMPUTER DESIGN | August 2024 | January 2025 | Allow | 5 | 1 | 0 | No | No |
| 18790740 | METHOD AND SYSTEM FOR MULTI-LEVEL ARTIFICIAL INTELLIGENCE SUPERCOMPUTER DESIGN | July 2024 | January 2025 | Allow | 5 | 1 | 0 | No | No |
| 18786130 | METHOD AND SYSTEM FOR MULTI-LEVEL ARTIFICIAL INTELLIGENCE SUPERCOMPUTER DESIGN | July 2024 | September 2024 | Allow | 2 | 0 | 0 | No | No |
| 18744199 | Method and System for Protecting and Removing Private Information Used in Large Language Models | June 2024 | February 2025 | Allow | 8 | 1 | 0 | No | No |
| 18663884 | COMPUTING PROCESS FLOW CONTROL VIA DETERMINATION OF DIALOGUE CONTEXT BETWEEN A USER AND AN ARTIFICIAL INTELLIGENCE ASSISTANT | May 2024 | August 2024 | Allow | 3 | 1 | 0 | No | No |
| 18659606 | TECHNIQUES FOR OUT-OF-DOMAIN (OOD) DETECTION | May 2024 | March 2025 | Allow | 10 | 0 | 0 | No | No |
| 18648788 | COMPUTER IMPLEMENTED METHODS FOR THE AUTOMATED ANALYSIS OR USE OF DATA, INCLUDING USE OF A LARGE LANGUAGE MODEL | April 2024 | October 2024 | Allow | 5 | 1 | 0 | No | No |
| 18644842 | MINIMIZING LARGE LANGUAGE MODEL HALLUCINATIONS IN GENERATED SUMMARIES | April 2024 | December 2025 | Allow | 20 | 0 | 0 | No | No |
| 18639737 | Meta-Tagging Based Configuration Transformation for Heterogeneous Systems | April 2024 | March 2026 | Allow | 23 | 1 | 0 | No | No |
| 18638592 | SYSTEM FOR SEMANTIC ANALYSIS AND AUTOMATIC SOLUTION OF MATHEMATICAL APPLICATION PROBLEM | April 2024 | March 2026 | Allow | 23 | 1 | 0 | No | No |
| 18634731 | Systems and Methods of Automatic Post-Editing of Machine Translated Content | April 2024 | September 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18612959 | EDGE COMPUTING UNITS FOR OPERATING CONVERSATIONAL TOOLS AT LOCAL SITES | March 2024 | July 2024 | Allow | 4 | 1 | 0 | No | No |
| 18607239 | ACCESSORY DEVICE BASED AUTHENTICATION FOR DIGITAL ASSISTANT REQUESTS | March 2024 | February 2025 | Allow | 11 | 1 | 0 | No | No |
| 18600339 | NATURAL LANGUAGE TEXT ANALYSIS | March 2024 | November 2024 | Allow | 8 | 1 | 0 | No | No |
| 18594700 | SYSTEMS AND METHODS FOR DETECTING EMERGING EVENTS | March 2024 | February 2026 | Allow | 24 | 2 | 0 | No | No |
| 18439407 | EDGE COMPUTING UNITS FOR OPERATING CONVERSATIONAL TOOLS AT LOCAL SITES | February 2024 | April 2024 | Allow | 2 | 0 | 0 | Yes | No |
| 18432321 | AUTOMATED USER EXPERIENCE ORCHESTRATION USING NATURAL LANGUAGE BASED MACHINE LEARNING TECHNIQUES | February 2024 | September 2024 | Allow | 7 | 0 | 0 | No | No |
| 18429109 | SCALABLE CONSISTENCY ENSEMBLE FOR MACHINE LEARNING MODELS | January 2024 | November 2025 | Allow | 22 | 1 | 0 | No | No |
| 18426617 | APPARATUS AND METHOD FOR GENERATING A TEXT OUTPUT | January 2024 | June 2024 | Allow | 4 | 1 | 0 | No | No |
| 18425869 | USE OF SEMANTIC CONFIDENCE METRICS FOR UNCERTAINTY ESTIMATION IN LARGE LANGUAGE MODELS | January 2024 | October 2024 | Allow | 8 | 1 | 0 | No | No |
| 18406906 | Method and System for Protecting and Removing Private Information Used in Large Language Models | January 2024 | July 2024 | Allow | 7 | 1 | 0 | No | No |
| 18397749 | COLLABORATIVE PLAN-BASED DIALOGUE SYSTEM AND METHOD | December 2023 | August 2024 | Allow | 8 | 1 | 0 | Yes | No |
| 18391165 | METHOD AND SYSTEM FOR MULTI-LEVEL ARTIFICIAL INTELLIGENCE SUPERCOMPUTER DESIGN | December 2023 | July 2024 | Allow | 7 | 1 | 0 | Yes | No |
| 18391127 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | December 2023 | August 2024 | Allow | 7 | 2 | 0 | Yes | No |
| 18391063 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | December 2023 | June 2024 | Allow | 6 | 1 | 0 | No | No |
| 18539736 | SYSTEMS FOR ENCODING DOCUMENTS AND GENERATING SEMANTIC IDENTIFIERS | December 2023 | October 2025 | Allow | 22 | 0 | 0 | No | No |
| 18525763 | TRANSFORMER MODEL ARCHITECTURE FOR READABILITY | November 2023 | January 2025 | Allow | 14 | 1 | 0 | No | No |
| 18565221 | Information Processing Method, and Method and Apparatus for Locating Sub-Control Chart in Control Chart | November 2023 | September 2024 | Allow | 10 | 1 | 0 | Yes | No |
| 18515025 | TEXT REDUCTION AND ANALYSIS INTERFACE TO A TEXT GENERATION MODELING SYSTEM | November 2023 | November 2024 | Allow | 12 | 1 | 0 | No | No |
| 18507933 | METHOD AND SYSTEM FOR ACOUSTIC COMMUNICATION OF DATA | November 2023 | July 2024 | Allow | 8 | 0 | 0 | No | No |
| 18387470 | INFORMATION PROCESSING APPARATUS METHOD FOR RESPONDING TO USER INQUIRY VIA INFORMATION SOURCE OR OPERATOR | November 2023 | September 2025 | Allow | 23 | 1 | 0 | Yes | No |
| 18493715 | Systems and Methods for Orchestration of Parallel Generative Artificial Intelligence Pipelines | October 2023 | March 2024 | Allow | 5 | 1 | 0 | No | No |
| 18489875 | METHOD AND DEVICE FOR DECODING SIGNALS | October 2023 | May 2024 | Allow | 7 | 0 | 0 | No | No |
| 18378587 | APPARATUS AND METHOD FOR GENERATING A DIGITAL ASSISTANT | October 2023 | March 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18378509 | SYSTEM AND METHOD OF IDENTIFYING A VARIATION OF A PHRASE IN A TEXTUAL PASSAGE | October 2023 | February 2026 | Allow | 28 | 1 | 0 | No | No |
| 18482839 | EDGE COMPUTING UNITS FOR OPERATING CONVERSATIONAL TOOLS AT LOCAL SITES | October 2023 | February 2024 | Allow | 4 | 1 | 0 | No | No |
| 18481741 | Method and System for Multi-Level Artificial Intelligence Supercomputer Design | October 2023 | February 2026 | Allow | 28 | 1 | 0 | Yes | No |
| 18481453 | DEVICE AND METHOD FOR MACHINE READING COMPREHENSION QUESTION AND ANSWER | October 2023 | August 2024 | Allow | 10 | 1 | 0 | No | No |
| 18373938 | Automatic Post-Editing Systems and Methods | September 2023 | January 2024 | Allow | 4 | 1 | 0 | Yes | No |
| 18474028 | PARAMETRIC RECONSTRUCTION OF AUDIO SIGNALS | September 2023 | July 2024 | Allow | 10 | 1 | 0 | No | No |
| 18470487 | METHOD AND SYSTEM FOR MULTI-LEVEL ARTIFICIAL INTELLIGENCE SUPERCOMPUTER DESIGN | September 2023 | July 2024 | Allow | 10 | 1 | 0 | Yes | No |
| 18369919 | Audio Coder Window And Transform Implementations | September 2023 | August 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18464446 | SYSTEM AND METHOD FOR VISUAL REPRESENTATION OF DOCUMENT TOPICS | September 2023 | September 2025 | Allow | 24 | 1 | 0 | No | No |
| 18244098 | USING LANGUAGE MODEL TO GENERATE RECIPE WITH REFINED CONTENT | September 2023 | August 2025 | Allow | 23 | 1 | 0 | Yes | No |
| 18242860 | METHODS AND DEVICES FOR SELECTIVELY IGNORING CAPTURED AUDIO DATA | September 2023 | May 2024 | Allow | 9 | 0 | 0 | No | No |
| 18458485 | INFORMATION LEARNING APPARATUS, METHOD, AND STORAGE MEDIUM | August 2023 | September 2025 | Allow | 24 | 0 | 0 | No | No |
| 18450776 | HALLUCINATION DETECTION AND REMEDIATION IN TEXT GENERATION INTERFACE SYSTEMS | August 2023 | August 2025 | Allow | 24 | 0 | 0 | No | No |
| 18230614 | METHODS AND ARRANGEMENTS TO ADJUST COMMUNICATIONS | August 2023 | November 2024 | Allow | 15 | 0 | 0 | No | No |
| 18364298 | TECHNIQUES FOR OUT-OF-DOMAIN (OOD) DETECTION | August 2023 | April 2024 | Allow | 8 | 0 | 0 | No | No |
| 18362890 | ADVICE GENERATION SYSTEM | July 2023 | September 2023 | Allow | 1 | 0 | 0 | No | No |
| 18360956 | USE OF SEMANTIC CONFIDENCE METRICS FOR UNCERTAINTY ESTIMATION IN LARGE LANGUAGE MODELS | July 2023 | November 2023 | Allow | 3 | 0 | 0 | No | No |
| 18352931 | Voice Recognition With Timing Information For Noise Cancellation | July 2023 | July 2024 | Allow | 13 | 1 | 0 | No | No |
| 18348692 | METHOD AND SYSTEM FOR MULTI-LEVEL ARTIFICIAL INTELLIGENCE SUPERCOMPUTER DESIGN | July 2023 | February 2024 | Allow | 7 | 1 | 0 | Yes | No |
| 18218184 | METHOD AND SYSTEM FOR VALIDATING MEDIA CONTENT | July 2023 | June 2025 | Allow | 24 | 1 | 0 | No | No |
| 18345622 | AUTOMATED USER EXPERIENCE ORCHESTRATION USING NATURAL LANGUAGE BASED MACHINE LEARNING TECHNIQUES | June 2023 | January 2024 | Allow | 6 | 0 | 1 | No | No |
| 18217411 | METHODS AND SYSTEMS FOR PROCESSING AUDIO SIGNALS CONTAINING SPEECH DATA | June 2023 | July 2025 | Allow | 25 | 1 | 0 | Yes | No |
| 18338749 | SYSTEMS AND METHODS FOR USING SILENT SPEECH IN A USER INTERACTION SYSTEM | June 2023 | July 2025 | Allow | 25 | 0 | 0 | No | No |
| 18337966 | ANALYZING MONITORING SYSTEM EVENTS USING NATURAL LANGUAGE PROCESSING (NLP) | June 2023 | September 2025 | Allow | 27 | 2 | 0 | No | No |
| 18266865 | CONVERSATION ORCHESTRATION IN INTERACTIVE AGENTS | June 2023 | October 2025 | Allow | 28 | 1 | 0 | No | No |
| 18333320 | TEXT REDUCTION AND ANALYSIS INTERFACE TO A TEXT GENERATION MODELING SYSTEM | June 2023 | August 2023 | Allow | 2 | 1 | 0 | Yes | No |
| 18315112 | GENERATION OF SYNTHETIC QUESTION-ANSWER PAIRS USING A DOCUMENT CLASSIFIER AND CLASSIFICATION EXPLAINER | May 2023 | June 2025 | Allow | 25 | 0 | 0 | No | No |
| 18143724 | Retrieval Aware Question Generation | May 2023 | July 2025 | Allow | 26 | 1 | 0 | No | No |
| 18308293 | Audio Encoder for Encoding an Audio Signal, Method for Encoding an Audio Signal and Computer Program under Consideration of a Detected Peak Spectral Region in an Upper Frequency Band | April 2023 | February 2024 | Allow | 9 | 0 | 0 | No | No |
| 18034007 | SYSTEMS AND METHOD FOR DYNAMICALLY UPDATING MATERIALITY DISTRIBUTIONS AND CLASSIFICATIONS IN MULTIPLE DIMENSIONS | April 2023 | October 2025 | Allow | 30 | 2 | 0 | No | No |
| 18139533 | SYSTEM AND METHODS TO HANDLE CONDITIONAL REQUESTS FOR LIVE PROGRAMS | April 2023 | April 2024 | Allow | 12 | 0 | 0 | No | No |
| 18302221 | ROBOTIC PROCESS AUTOMATION USING GENERATED SEMANTIC INFORMATION | April 2023 | July 2025 | Allow | 27 | 1 | 0 | Yes | No |
| 18301615 | COMPUTER IMPLEMENTED METHODS FOR THE AUTOMATED ANALYSIS OR USE OF DATA, INCLUDING USE OF A LARGE LANGUAGE MODEL | April 2023 | November 2023 | Allow | 7 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner YEN, ERIC L.
With a 33.3% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 29.2% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner YEN, ERIC L works in Art Unit 2658 and has examined 576 patent applications in our dataset. With an allowance rate of 88.9%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 24 months.
Examiner YEN, ERIC L's allowance rate of 88.9% places them in the 70% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by YEN, ERIC L receive 1.50 office actions before reaching final disposition. This places the examiner in the 26% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by YEN, ERIC L is 24 months. This places the examiner in the 83% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +11.7% benefit to allowance rate for applications examined by YEN, ERIC L. This interview benefit is in the 47% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 29.5% of applications are subsequently allowed. This success rate is in the 56% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 48.9% of cases where such amendments are filed. This entry rate is in the 73% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 36.4% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 35% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.
This examiner withdraws rejections or reopens prosecution in 64.0% of appeals filed. This is in the 44% percentile among all examiners. Of these withdrawals, 50.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 41.0% are granted (fully or in part). This grant rate is in the 32% percentile among all examiners. Strategic Note: Petitions show below-average success regarding this examiner's actions. Ensure you have a strong procedural basis before filing.
Examiner's Amendments: This examiner makes examiner's amendments in 0.2% of allowed cases (in the 52% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 1.6% of allowed cases (in the 65% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.