Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19196588 | AUTONOMOUS PROCESS EXECUTION FOR LARGE LANGUAGE MODEL FUNCTION BUTTONS | May 2025 | November 2025 | Allow | 7 | 2 | 0 | Yes | No |
| 18736426 | PAGE DISPLAY METHOD AND APPARATUS, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT | June 2024 | March 2025 | Allow | 9 | 2 | 0 | Yes | No |
| 18602404 | CONTENT INTERACTION SYSTEM AND METHOD WITH PRESENCE DETECTION AND EMOTIONAL STATE DETERMINATION TO RECOMMEND A PIECE OF INTERACTIVE CONTENT | March 2024 | December 2024 | Allow | 9 | 2 | 0 | No | No |
| 18601758 | COST PER SCENT SYSTEM AND METHOD | March 2024 | August 2024 | Allow | 6 | 1 | 0 | No | No |
| 18601559 | MACHINE LEARNING ENCODING SYSTEM AND METHOD FOR CONTENT INTERACTION SYSTEM AND METHOD | March 2024 | September 2024 | Allow | 6 | 1 | 0 | No | No |
| 18520426 | USER INTERFACES FOR SHARING AN ACCOUNT WITH ANOTHER USER IDENTITY | November 2023 | September 2025 | Allow | 22 | 2 | 0 | Yes | No |
| 18512960 | LEARNING USER INTERFACE | November 2023 | March 2026 | Allow | 28 | 3 | 0 | Yes | No |
| 18508919 | SYSTEM AND METHOD FOR UNDERSTANDING INFLUENCER REACH WITHIN AN AUGMENTED MEDIA INTELLIGENCE ECOSYSTEM | November 2023 | July 2025 | Allow | 20 | 1 | 0 | Yes | No |
| 18379003 | EFFICIENT CONTROL AND/OR LINKING OF SMART DEVICES | October 2023 | July 2025 | Allow | 22 | 1 | 0 | Yes | No |
| 18470390 | WORKFLOW SELECTION | September 2023 | October 2025 | Allow | 25 | 2 | 0 | No | No |
| 18453016 | Playback Transfer in a Media Playback System | August 2023 | August 2025 | Allow | 24 | 2 | 0 | Yes | No |
| 18230819 | MACHINE LEARNING MODEL AUTOMATION OF USER INTERFACE TRANSFORMATION | August 2023 | November 2024 | Allow | 15 | 1 | 0 | No | No |
| 18352224 | COMPUTER-ASSISTED OR AUTONOMOUS DRIVING VEHICLES SOCIAL NETWORK | July 2023 | March 2025 | Allow | 20 | 1 | 0 | No | No |
| 18217046 | USER-INTERFACE SYSTEM FOR A LAUNDRY APPLIANCE | June 2023 | October 2024 | Allow | 16 | 1 | 0 | Yes | No |
| 18321667 | MACHINE LEARNING BASED SUPERVISED USER EXPERIENCE FOR AN APPLICATION MONITORED BY MULTIPLE SECONDARY APPLICATIONS | May 2023 | July 2025 | Allow | 25 | 2 | 0 | Yes | No |
| 18300639 | METHOD FOR GENERATING A TREE DIAGRAM FROM A CAPITALIZATION TABLE | April 2023 | December 2024 | Allow | 20 | 1 | 0 | No | No |
| 18296650 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD FOR SPECIFYING A CHANGED DISPLAY CONTENT | April 2023 | November 2025 | Allow | 32 | 3 | 0 | No | No |
| 18123878 | USER INTERFACE CAMERA EFFECTS | March 2023 | August 2024 | Allow | 17 | 2 | 0 | Yes | No |
| 18168490 | SETUP PROCEDURES FOR AN ELECTRONIC DEVICE | February 2023 | September 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 18107772 | THEME-BASED DOCUMENT STYLE TRANSFER | February 2023 | June 2025 | Allow | 28 | 3 | 0 | Yes | No |
| 18101948 | ELECTRONIC COMMUNICATION BASED ON USER INPUT | January 2023 | December 2024 | Allow | 23 | 3 | 0 | Yes | No |
| 18100888 | SYSTEM AND METHOD FOR ESTABLISHING RELATIVE PREFERENCE BETWEEN ITEMS | January 2023 | August 2024 | Allow | 19 | 1 | 0 | No | No |
| 18148254 | SYSTEMS AND METHODS FOR SEQUENTIAL MODEL FRAMEWORK FOR NEXT-BEST USER STATE | December 2022 | October 2024 | Allow | 21 | 2 | 0 | Yes | No |
| 18147671 | MODELLING OPERATIONS ON FUNCTIONAL STRUCTURES | December 2022 | January 2024 | Allow | 13 | 1 | 0 | No | No |
| 18069150 | GENERATING AN ERROR POLICY FOR A MACHINE LEARNING ENGINE | December 2022 | March 2026 | Allow | 39 | 1 | 0 | Yes | No |
| 18066209 | Adaptable Personal User Interfaces in Cross-Application Virtual Reality Settings | December 2022 | February 2025 | Abandon | 26 | 3 | 0 | Yes | No |
| 18077430 | DIGITAL TWIN HYDRAULIC TROUBLESHOOTING | December 2022 | February 2024 | Allow | 14 | 2 | 0 | No | No |
| 18062895 | IMPLICIT RATING RECOMMENDATIONS FEEDBACK LOOP | December 2022 | February 2026 | Allow | 38 | 1 | 0 | No | No |
| 18072153 | Automatic Alert Dispositioning using Artificial Intelligence | November 2022 | March 2026 | Allow | 39 | 1 | 0 | No | No |
| 17991725 | SMART FURNITURE CONTENT INTERACTION SYSTEM AND METHOD | November 2022 | March 2024 | Allow | 16 | 2 | 0 | Yes | No |
| 17983448 | MACHINE LEARNING TRAINING DURATION CONTROL | November 2022 | February 2026 | Allow | 40 | 1 | 0 | Yes | No |
| 17968714 | SYSTEMS AND METHODS FOR GENERIC ASPECT-BASED SENTIMENT ANALYSIS | October 2022 | February 2026 | Allow | 40 | 1 | 0 | Yes | No |
| 17968442 | INCREASING ENGAGEMENT IN CLINICAL TRIALS BY ADJUSTING APPLICATIONS BASED ON PATIENT USAGE DATA | October 2022 | July 2024 | Allow | 21 | 1 | 0 | No | No |
| 17907540 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD FOR PRESENTING REACTION-ADAPTIVE EXPLANATION OF AUTOMATIC OPERATIONS | September 2022 | December 2025 | Allow | 38 | 1 | 0 | No | No |
| 17953049 | Communicating with and Controlling Load Control Systems | September 2022 | July 2024 | Allow | 22 | 3 | 0 | No | No |
| 17909894 | SYSTEM FOR FILTERING DISPLAYED CONTENT AT THE OS LEVEL | September 2022 | August 2024 | Allow | 23 | 2 | 0 | Yes | No |
| 17929657 | PLAYLIST CONFIGURATION AND PREVIEW | September 2022 | June 2024 | Allow | 21 | 2 | 0 | Yes | No |
| 17898887 | TRAINING, TESTING, AND VERIFYING AUTONOMOUS MACHINES USING SIMULATED ENVIRONMENTS | August 2022 | August 2024 | Allow | 24 | 3 | 0 | Yes | No |
| 17820616 | System and Method for Content Selection | August 2022 | September 2023 | Allow | 13 | 1 | 0 | No | No |
| 17820407 | AI PLATFORM WITH AUTOMATIC ANALYSIS DATA AND METHODS FOR USE THEREWITH | August 2022 | January 2026 | Allow | 41 | 1 | 0 | No | No |
| 17885260 | ELECTRONIC DEVICE AND METHOD FOR CONFIGURING SCREEN OF DISPLAY IN ELECTRONIC DEVICE | August 2022 | October 2024 | Allow | 26 | 4 | 0 | Yes | No |
| 17873396 | PRE-GENERATING DATA FOR USER INTERFACE LATENCY IMPROVEMENT | July 2022 | April 2024 | Abandon | 21 | 2 | 0 | Yes | No |
| 17871541 | VIRTUAL EXPERIENCE PILLARS | July 2022 | September 2023 | Allow | 13 | 1 | 0 | No | No |
| 17869528 | REWARD FEEDBACK FOR LEARNING CONTROL POLICIES USING NATURAL LANGUAGE AND VISION DATA | July 2022 | December 2025 | Allow | 41 | 1 | 0 | No | No |
| 17862517 | GREENHOUSE SMART LIGHT CONTROL | July 2022 | January 2026 | Abandon | 43 | 1 | 0 | No | No |
| 17792204 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD FOR DISPLAYING A PLURALITY OF DISPLAY ELEMENTS ON A DISPLAY | July 2022 | October 2023 | Allow | 15 | 2 | 0 | Yes | No |
| 17861881 | SEARCH SYSTEM, METHOD, AND PROGRAM FOR RESTRICTING RESULTS BASED ON CONFLICTS | July 2022 | October 2024 | Allow | 28 | 4 | 0 | Yes | No |
| 17860128 | FEDERATED LEARNING METHOD FOR k-means CLUSTERING ALGORITHM | July 2022 | November 2025 | Allow | 40 | 1 | 0 | No | No |
| 17859978 | Sequential Synthesis and Selection for Feature Engineering | July 2022 | September 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17780762 | MULTI-DEPTH IMAGE GENERATING METHOD AND RECORDING MEDIUM ON WHICH PROGRAM THEREFOR IS RECORDED | July 2022 | November 2023 | Abandon | 17 | 1 | 0 | No | No |
| 17809791 | PRESENTING AVAILABLE FUNCTIONS FOR A CAPTURED IMAGE WITHIN A MESSAGING SYSTEM | June 2022 | January 2024 | Allow | 18 | 2 | 0 | Yes | No |
| 17783352 | APPARATUS FOR MACHINE LEARNING SERVICE, METHOD FOR MACHINE LEARNING SERVICE AND PROGRAM THEREOF | June 2022 | December 2025 | Abandon | 43 | 1 | 0 | No | No |
| 17828153 | SYSTEM AND METHOD FOR UNDERSTANDING INFLUENCER REACH WITHIN AN AUGMENTED MEDIA INTELLIGENCE ECOSYSTEM | May 2022 | August 2023 | Allow | 14 | 1 | 0 | Yes | No |
| 17664499 | CATALYST 4 CONNECTIONS | May 2022 | October 2025 | Allow | 41 | 1 | 0 | No | No |
| 17747445 | HYBRID MODEL AND SYSTEM FOR PREDICTING QUALITY AND IDENTIFYING FEATURES AND ENTITIES OF RISK CONTROLS | May 2022 | January 2026 | Allow | 44 | 2 | 0 | No | No |
| 17746128 | REDUCING COMPUTATIONAL BURDEN ON MACHINE LEARNING PROCESSES BY DETECTING NON-LINEAR RELATIONSHIPS | May 2022 | October 2025 | Allow | 41 | 1 | 0 | No | No |
| 17745520 | BUILDING SYSTEM WITH SEMANTIC MODELING BASED SEARCHING | May 2022 | May 2023 | Allow | 12 | 1 | 0 | Yes | No |
| 17661357 | PLAYBACK TRANSFER IN A MEDIA PLAYBACK SYSTEM | April 2022 | July 2023 | Allow | 14 | 1 | 0 | Yes | No |
| 17731904 | PERSONALIZED NODE RANKING METHOD AND SYSTEM USING RANDOM WALK | April 2022 | August 2025 | Allow | 40 | 1 | 0 | No | No |
| 17730533 | INFORMATION REPLY METHOD, APPARATUS, ELECTRONIC DEVICE, READABLE STORAGE MEDIUM AND PROGRAM PRODUCT | April 2022 | October 2023 | Allow | 17 | 4 | 0 | Yes | No |
| 17771979 | DISPLAY CONTROL DEVICE AND DISPLAY CONTROL METHOD FOR DISPLAYING IMAGES INCLUDING ELECTRONIC LABELS | April 2022 | July 2023 | Allow | 15 | 2 | 0 | Yes | No |
| 17660141 | IDENTIFYING USER REQUIREMENTS TO DETERMINE SOLUTIONS USING ARTIFICIAL INTELLIGENCE | April 2022 | September 2025 | Allow | 41 | 1 | 0 | Yes | No |
| 17724783 | TECHNIQUES FOR POLL INTENTION DETECTION AND POLL CREATION | April 2022 | October 2025 | Allow | 42 | 2 | 0 | Yes | No |
| 17720718 | TECHNIQUES FOR ORGANIZING COMPONENTS IN A COMPONENT MANAGEMENT SERVICE BASED ON GEOMETRY AND METADATA-BASED CLASSIFICATION | April 2022 | November 2025 | Allow | 43 | 1 | 0 | No | No |
| 17658985 | COMBINED DEEP LEARNING INFERENCE AND COMPRESSION USING SENSED DATA | April 2022 | September 2025 | Allow | 41 | 2 | 0 | Yes | No |
| 17717661 | USER INTERFACES FOR CONVERTING NODE-LINK DATA INTO AUDIO OUTPUTS | April 2022 | August 2022 | Allow | 4 | 1 | 0 | Yes | No |
| 17688583 | EFFICIENT CONTROL AND/OR LINKING OF SMART DEVICES | March 2022 | July 2023 | Allow | 16 | 1 | 0 | Yes | No |
| 17687781 | 3D Photonic Neural Network | March 2022 | October 2025 | Abandon | 43 | 1 | 0 | No | No |
| 17681243 | METHOD AND DEVICE FOR DETERMINING TASK-DRIVEN PRUNING MODULE, AND COMPUTER READABLE STORAGE MEDIUM | February 2022 | May 2025 | Allow | 38 | 1 | 0 | No | No |
| 17651348 | PRESENTING CONTENT ITEMS BASED ON PREVIOUS REACTIONS | February 2022 | August 2023 | Allow | 18 | 2 | 0 | No | No |
| 17589109 | MULTIPLE SELECTION ON DEVICES WITH MANY GESTURES | January 2022 | March 2026 | Allow | 49 | 6 | 0 | Yes | No |
| 17572142 | ALERTING, DIAGNOSING, AND TRANSMITTING COMPUTER ISSUES TO A TECHNICAL RESOURCE IN RESPONSE TO AN INDICATION OF OCCURRENCE BY AN END USER | January 2022 | August 2023 | Allow | 19 | 1 | 0 | No | No |
| 17566062 | ACCESSING THIRD PARTY RESOURCES VIA CLIENT APPLICATION WITH MESSAGING CAPABILITY | December 2021 | June 2024 | Allow | 29 | 4 | 0 | No | No |
| 17623794 | Techniques for Training Systems for Autonomous Vehicle Navigation | December 2021 | October 2025 | Allow | 45 | 2 | 0 | No | No |
| 17558810 | Cementing Lab Data Validation based On Machine Learning | December 2021 | January 2026 | Allow | 49 | 2 | 0 | Yes | No |
| 17644647 | SHORTCUT COMMANDS FOR APPLICATIONS | December 2021 | October 2024 | Allow | 34 | 4 | 0 | Yes | No |
| 17544485 | SYSTEM AND METHOD FOR CREATING, MANAGING, AND DISPLAYING USER OWNED COLLECTIONS OF 3D DIGITAL COLLECTIBLES | December 2021 | April 2023 | Allow | 16 | 1 | 0 | No | No |
| 17540187 | MODIFYING AN INTERFACE DISPLAYING VIDEO CONTENT RECEIVED FROM USERS PARTICIPATING IN A VIDEO EXCHANGE SESSION BASED ON INPUT FROM A PARTICIPATING USER | December 2021 | July 2023 | Abandon | 19 | 1 | 0 | No | No |
| 17535143 | SYSTEM AND METHOD FOR REMOTELY DISPLAYING DATA | November 2021 | March 2023 | Allow | 15 | 1 | 0 | Yes | No |
| 17531547 | Dashboard Display Using Panel Templates | November 2021 | June 2023 | Allow | 19 | 2 | 0 | Yes | No |
| 17513317 | FACTORIZATION MACHINE WITH L-2 NORM REDUCTION FOR MACHINE LEARNED MODELS | October 2021 | March 2025 | Allow | 41 | 1 | 0 | Yes | No |
| 17452596 | RUNTIME ESTIMATION FOR MACHINE LEARNING TASKS | October 2021 | March 2023 | Allow | 17 | 1 | 0 | Yes | No |
| 17510685 | USER-INTERFACE SYSTEM FOR A LAUNDRY APPLIANCE | October 2021 | March 2023 | Allow | 17 | 1 | 0 | Yes | No |
| 17509840 | NEURAL NETWORK TRAINED USING ORDINAL LOSS FUNCTION | October 2021 | June 2025 | Allow | 44 | 2 | 0 | Yes | No |
| 17451314 | UPDATING DISPLAY OF WORKSPACES IN A USER INTERFACE FOR MANAGING WORKSPACES IN RESPONSE TO USER INPUT | October 2021 | August 2024 | Allow | 34 | 4 | 0 | Yes | No |
| 17495346 | ACCOUNT MANAGEMENT USER INTERFACES | October 2021 | February 2023 | Allow | 16 | 1 | 0 | No | No |
| 17493323 | MODULAR NETWORK BASED KNOWLEDGE SHARING FOR MULTIPLE ENTITIES | October 2021 | July 2025 | Allow | 46 | 2 | 0 | Yes | No |
| 17449355 | Weighted Supply Chain Corporate Hierarchy Interface | September 2021 | January 2023 | Allow | 16 | 1 | 0 | Yes | No |
| 17485645 | NEURAL NETWORK ACCELERATOR AND NEURAL NETWORK ACCELERATION METHOD BASED ON STRUCTURED PRUNING AND LOW-BIT QUANTIZATION | September 2021 | February 2025 | Allow | 41 | 1 | 0 | No | No |
| 17448998 | WEB FRAMEWORK DESIGNED FOR SECURE LOCKED DOWN BROWSERS | September 2021 | February 2024 | Abandon | 28 | 2 | 0 | No | No |
| 17442982 | NEURAL NETWORK ACCELERATOR USING ONLY ON-CHIP MEMORY AND METHOD FOR IMPLEMENTING NEURAL NETWORK ACCELERATOR USING ONLY ON-CHIP MEMORY | September 2021 | April 2025 | Abandon | 43 | 1 | 0 | No | No |
| 17483219 | PROCESSES AND PRODUCTS FOR GENERATION OF COMPLETION RULES OF KNOWLEDGE GRAPHS | September 2021 | March 2025 | Allow | 42 | 1 | 0 | No | No |
| 17481552 | METHOD AND SYSTEM FOR PREDICTIVE MAINTENANCE OF HIGH PERFORMANCE SYSTEMS (HPC) | September 2021 | October 2024 | Allow | 36 | 0 | 0 | No | No |
| 17448487 | DEVICE FOR AND METHOD OF AUTOMATING MACHINE LEARNING BASED ON A REPRESENTATION OF A MACHINE LEARNING PIPELINE | September 2021 | September 2025 | Allow | 48 | 2 | 0 | Yes | No |
| 17466938 | COMPOSABLE EVENTS FOR DYNAMIC USER INTERFACE COMPOSITION | September 2021 | June 2024 | Allow | 33 | 4 | 0 | No | No |
| 17461728 | SYSTEMS AND METHODS FOR VISUALIZATION OF ELECTRONIC SOCIAL NETWORK CONTENT | August 2021 | May 2023 | Allow | 20 | 2 | 0 | Yes | No |
| 17459356 | RECONFIGURABLE AI SYSTEM | August 2021 | January 2025 | Allow | 41 | 1 | 0 | No | No |
| 17411853 | ELECTRONIC DEVICE FOR GENERATING DATA AND IMPROVING TASK PERFORMANCE BY USING ONLY VERY SMALL AMOUNT OF DATA WITHOUT PRIOR KNOWLEDGE OF ASSOCIATIVE DOMAIN AND OPERATING METHOD THEREOF | August 2021 | February 2025 | Allow | 41 | 1 | 0 | No | No |
| 17405523 | METHOD AND DEVICE FOR OPTIMIZING DEEP LEARNING MODEL CONVERSION, AND STORAGE MEDIUM | August 2021 | April 2025 | Allow | 44 | 2 | 0 | No | No |
| 17402970 | STORAGE AND INFERENCE METHOD FOR DEEP-LEARNING NEURAL NETWORK | August 2021 | January 2025 | Allow | 41 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SPRATT, BEAU D.
With a 50.0% 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, 52.9% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ 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 is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner SPRATT, BEAU D works in Art Unit 2143 and has examined 363 patent applications in our dataset. With an allowance rate of 76.9%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 37 months.
Examiner SPRATT, BEAU D's allowance rate of 76.9% places them in the 43% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by SPRATT, BEAU D receive 2.69 office actions before reaching final disposition. This places the examiner in the 79% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by SPRATT, BEAU D is 37 months. This places the examiner in the 32% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +32.8% benefit to allowance rate for applications examined by SPRATT, BEAU D. This interview benefit is in the 81% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 22.5% of applications are subsequently allowed. This success rate is in the 29% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.
This examiner enters after-final amendments leading to allowance in 35.0% of cases where such amendments are filed. This entry rate is in the 52% 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, 44.4% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 40% 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 58.3% of appeals filed. This is in the 32% percentile among all examiners. Of these withdrawals, 28.6% 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, 25.0% are granted (fully or in part). This grant rate is in the 13% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 10% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 11% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
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.