Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 16972420 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD | December 2020 | March 2024 | Allow | 40 | 4 | 0 | Yes | No |
| 17110519 | RUNTIME TOPIC CHANGE ANALYSES IN SPOKEN DIALOG CONTEXTS | December 2020 | March 2024 | Abandon | 40 | 4 | 0 | Yes | No |
| 17109265 | MULTI-MODE GUARD FOR VOICE COMMANDS | December 2020 | April 2023 | Abandon | 29 | 2 | 0 | Yes | No |
| 17074653 | Estimating Lung Volume by Speech Analysis | October 2020 | December 2022 | Allow | 25 | 2 | 0 | Yes | No |
| 17061532 | ELECTRONIC DEVICE FOR PROCESSING USER UTTERANCE AND METHOD OF OPERATING SAME | October 2020 | September 2024 | Abandon | 48 | 5 | 0 | Yes | No |
| 17060339 | DETECTION OF LIVENESS | October 2020 | January 2023 | Allow | 28 | 2 | 0 | No | No |
| 17037975 | DECT BASE STATION, HANDSET AND COMMUNICATION SYSTEM | September 2020 | February 2024 | Allow | 41 | 4 | 0 | No | No |
| 17016360 | SPEECH RECOGNITION USING DATA ANALYSIS AND DILATION OF SPEECH CONTENT FROM SEPARATED AUDIO INPUT | September 2020 | April 2022 | Allow | 19 | 1 | 0 | No | No |
| 17014458 | SYSTEMS AND METHODS FOR RESPONSE SELECTION IN MULTI-PARTY CONVERSATIONS WITH DYNAMIC TOPIC TRACKING | September 2020 | October 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16978586 | METHOD AND SYSTEM FOR DETERMINING AND IMPROVING BEHAVIORAL INDEX | September 2020 | November 2022 | Allow | 27 | 2 | 0 | Yes | No |
| 16977102 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, PROGRAM, AND INFORMATION PROCESSING SYSTEM | September 2020 | February 2023 | Abandon | 29 | 2 | 0 | No | No |
| 17002195 | CONVOLUTIONAL STATE MODELING FOR PLANNING NATURAL LANGUAGE CONVERSATIONS | August 2020 | September 2022 | Abandon | 25 | 1 | 0 | No | No |
| 16990525 | DIALOG SYSTEM WITH AUTOMATIC REACTIVATION OF SPEECH ACQUIRING MODE | August 2020 | February 2022 | Allow | 18 | 0 | 0 | Yes | No |
| 16945525 | METHODS AND SYSTEMS FOR AUTOMATED DETECTION OF PERSONAL INFORMATION USING NEURAL NETWORKS | July 2020 | January 2023 | Allow | 30 | 2 | 0 | Yes | No |
| 16932049 | DEEP MULTI-CHANNEL ACOUSTIC MODELING | July 2020 | June 2022 | Allow | 23 | 1 | 0 | No | No |
| 16900283 | CALIBRATED NOISE FOR TEXT MODIFICATION | June 2020 | August 2022 | Allow | 26 | 1 | 0 | Yes | No |
| 16888605 | SORTING TEXT REPORT CATEGORIES | May 2020 | October 2020 | Allow | 4 | 1 | 0 | No | No |
| 16880567 | PROCESSING VOICE COMMANDS BASED ON DEVICE TOPOLOGY | May 2020 | February 2023 | Abandon | 33 | 4 | 0 | Yes | Yes |
| 16870396 | AUDIO ENCODERS, AUDIO DECODERS, METHODS AND COMPUTER PROGRAMS ADAPTING AN ENCODING AND DECODING OF LEAST SIGNIFICANT BITS | May 2020 | March 2022 | Allow | 22 | 0 | 0 | Yes | No |
| 16870361 | Audio Encoders, Audio Decoders, Methods and Computer Programs Adapting an Encoding and Decoding of Least Significant Bits | May 2020 | March 2022 | Allow | 22 | 0 | 0 | Yes | No |
| 16762074 | INFORMATION PROCESSING METHOD AND SYSTEM, COMPUTER SYSTEM AND COMPUTER READABLE MEDIUM | May 2020 | May 2022 | Allow | 24 | 1 | 0 | Yes | No |
| 16857257 | Smart Service Method, Apparatus and Device | April 2020 | June 2022 | Allow | 25 | 2 | 0 | Yes | No |
| 16843872 | Suggestion of New Entity Types with Discriminative Term Importance Analysis | April 2020 | May 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16829800 | ANALYSING SPEECH SIGNALS | March 2020 | January 2024 | Abandon | 45 | 2 | 0 | No | Yes |
| 16822933 | Information Retrieval According To A User Interest Model | March 2020 | July 2022 | Abandon | 28 | 1 | 0 | No | No |
| 16823036 | DEVICE AND METHOD FOR GENERATING SYNCHRONOUS CORPUS | March 2020 | November 2021 | Allow | 20 | 2 | 0 | No | No |
| 16647284 | WHISPERING VOICE RECOVERY METHOD, APPARATUS AND DEVICE, AND READABLE STORAGE MEDIUM | March 2020 | July 2022 | Allow | 28 | 2 | 0 | No | No |
| 16791855 | WORD FLOW ANNOTATION | February 2020 | April 2022 | Allow | 26 | 1 | 0 | Yes | No |
| 16790237 | DISPLAY APPARATUS, VOICE ACQUIRING APPARATUS AND VOICE RECOGNITION METHOD THEREOF | February 2020 | September 2022 | Allow | 31 | 2 | 0 | Yes | No |
| 16776679 | Microphone Array Beamforming Control | January 2020 | April 2022 | Allow | 27 | 1 | 0 | Yes | No |
| 16749148 | ENCOURAGING SPEECH SYSTEM, ENCOURAGING SPEECH METHOD, AND COMPUTER READABLE MEDIUM | January 2020 | March 2022 | Allow | 26 | 1 | 0 | Yes | No |
| 16632744 | METHOD AND SYSTEM TO ESTIMATE SPEAKER CHARACTERISTICS ON-THE-FLY FOR UNKNOWN SPEAKER WITH HIGH ACCURACY AND LOW LATENCY | January 2020 | March 2022 | Allow | 25 | 1 | 0 | Yes | No |
| 16721452 | METHOD AND SYSTEM FOR HYBRID ENTITY RECOGNITION | December 2019 | October 2022 | Allow | 34 | 2 | 0 | Yes | No |
| 16709304 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR EVALUATING QUALITY OF ANSWER | December 2019 | June 2022 | Allow | 30 | 1 | 0 | No | No |
| 16707262 | SYSTEM AND METHOD FOR SPEECH PERSONALIZATION BY NEED | December 2019 | December 2022 | Allow | 36 | 3 | 0 | Yes | No |
| 16706705 | INTERACTIVE REPRESENTATION OF CONTENT FOR RELEVANCE DETECTION AND REVIEW | December 2019 | May 2022 | Abandon | 29 | 1 | 0 | No | No |
| 16614241 | SPEECH RECOGNITION HYPOTHESIS GENERATION ACCORDING TO PREVIOUS OCCURRENCES OF HYPOTHESES TERMS AND/OR CONTEXTUAL DATA | November 2019 | July 2021 | Allow | 20 | 0 | 0 | Yes | No |
| 16613502 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM | November 2019 | January 2023 | Abandon | 38 | 2 | 0 | Yes | No |
| 16671773 | SENTENCE EMBEDDING METHOD AND APPARATUS BASED ON SUBWORD EMBEDDING AND SKIP-THOUGHTS | November 2019 | May 2022 | Allow | 30 | 1 | 0 | Yes | No |
| 16664904 | SYSTEMS AND METHODS FOR CHATBOT GENERATION | October 2019 | April 2022 | Allow | 29 | 1 | 0 | Yes | No |
| 16664907 | System and Method for Dialogue Tree Generation | October 2019 | April 2022 | Allow | 30 | 1 | 0 | Yes | No |
| 16657270 | SYSTEMS AND METHODS FOR DETERMINING DOCUMENT COMPATIBILITY | October 2019 | January 2022 | Allow | 27 | 1 | 0 | Yes | No |
| 16601940 | ELECTRONIC DEVICE AND CONTROLLING METHOD OF ELECTRONIC DEVICE | October 2019 | October 2023 | Abandon | 48 | 5 | 0 | No | No |
| 16593564 | CROSS-LINGUAL SPEECH RECOGNITION | October 2019 | April 2022 | Allow | 31 | 2 | 0 | Yes | No |
| 16499816 | SPEECH SYNTHESIZER USING ARTIFICIAL INTELLIGENCE, METHOD OF OPERATING SPEECH SYNTHESIZER AND COMPUTER-READABLE RECORDING MEDIUM | September 2019 | April 2022 | Allow | 30 | 1 | 0 | Yes | No |
| 16583339 | MULTIMODAL NEURAL NETWORK FOR PUBLIC SPEAKING GUIDANCE | September 2019 | February 2024 | Allow | 53 | 4 | 0 | No | No |
| 16573713 | METHOD AND APPARATUS FOR UPDATING REAL-TIME VOICE RECOGNITION MODEL USING MOVING AGENT | September 2019 | June 2022 | Allow | 33 | 1 | 0 | No | No |
| 16570506 | PREDICTIVE SIMILARITY SCORING SUBSYSTEM IN A NATURAL LANGUAGE UNDERSTANDING (NLU) FRAMEWORK | September 2019 | June 2022 | Allow | 33 | 1 | 0 | Yes | No |
| 16570699 | Systems and Methods for Improved Digital Transcript Creation Using Automated Speech Recognition | September 2019 | November 2021 | Abandon | 26 | 4 | 0 | Yes | No |
| 16552712 | MACHINE LEARNING MODEL TRAINING FOR REVIEWING DOCUMENTS | August 2019 | September 2022 | Allow | 36 | 3 | 0 | Yes | No |
| 16548905 | COMPATIBLE MULTI-CHANNEL CODING/DECODING | August 2019 | March 2022 | Allow | 30 | 1 | 0 | Yes | No |
| 16505783 | SYSTEMS AND METHODS FOR TRANSCRIPT PROCESSING | July 2019 | October 2021 | Allow | 27 | 1 | 0 | No | No |
| 16506295 | ENCODING METHOD AND APPARATUS | July 2019 | November 2021 | Allow | 28 | 1 | 0 | No | No |
| 16419105 | USING MULTIPLE MODALITY INPUT TO FEEDBACK CONTEXT FOR NATURAL LANGUAGE UNDERSTANDING | May 2019 | October 2021 | Allow | 29 | 1 | 0 | Yes | No |
| 16401075 | SYSTEMS AND METHODS FOR DETERMINING DOCUMENT COMPATIBILITY | May 2019 | June 2019 | Allow | 2 | 0 | 0 | No | No |
| 16398669 | RESAMPLING OUTPUT SIGNALS OF QMF BASED AUDIO CODECS | April 2019 | March 2022 | Allow | 35 | 2 | 0 | Yes | No |
| 16376076 | COMPATIBLE MULTI-CHANNEL CODING/DECODING | April 2019 | May 2019 | Allow | 1 | 0 | 0 | Yes | No |
| 16376665 | METHODS, SYSTEMS, AND MEDIA FOR PRESENTING INTERACTIVE AUDIO CONTENT | April 2019 | February 2022 | Allow | 34 | 2 | 0 | No | Yes |
| 16376080 | COMPATIBLE MULTI-CHANNEL CODING/DECODING | April 2019 | June 2019 | Allow | 2 | 0 | 0 | Yes | No |
| 16376084 | COMPATIBLE MULTI-CHANNEL CODING/DECODING | April 2019 | May 2019 | Allow | 1 | 0 | 0 | Yes | No |
| 16368331 | DEEP MULTI-CHANNEL ACOUSTIC MODELING USING MULTIPLE MICROPHONE ARRAY GEOMETRIES | March 2019 | July 2022 | Allow | 40 | 3 | 1 | No | No |
| 16362187 | DETERMINING SEMANTIC SIMILARITY OF TEXTS BASED ON SUB-SECTIONS THEREOF | March 2019 | June 2021 | Allow | 27 | 2 | 0 | Yes | No |
| 16277837 | MESSAGE AND USER PROFILE INDICATIONS IN SPEECH-BASED SYSTEMS | February 2019 | September 2022 | Allow | 43 | 5 | 0 | Yes | No |
| 16248995 | DETECTING EXPRESSIONS LEARNED BASED ON A THEME AND ON WORD CORRELATION AND CO-OCCURENCE | January 2019 | January 2021 | Allow | 24 | 1 | 0 | Yes | No |
| 16240602 | LEVERAGING MULTIPLE AUDIO CHANNELS FOR AUTHENTICATION | January 2019 | January 2020 | Allow | 12 | 2 | 0 | Yes | No |
| 16233786 | System and Method for Learning Preferences in Dialogue Personalization | December 2018 | January 2021 | Allow | 25 | 1 | 0 | Yes | No |
| 16233829 | SYSTEM AND METHOD FOR DIALOGUE MANAGEMENT | December 2018 | January 2021 | Allow | 25 | 1 | 0 | Yes | No |
| 16216516 | Multi-Mode Guard for Voice Commands | December 2018 | September 2020 | Allow | 21 | 1 | 0 | Yes | No |
| 16209332 | CONTEXT-AWARE QUERY RECOGNITION FOR ELECTRONIC DEVICES | December 2018 | May 2021 | Abandon | 30 | 2 | 0 | Yes | No |
| 16209451 | COMPATIBLE MULTI-CHANNEL CODING/DECODING | December 2018 | March 2019 | Allow | 3 | 0 | 0 | Yes | No |
| 16208291 | COMPUTER SYSTEMS EXHIBITING IMPROVED COMPUTER SPEED AND TRANSCRIPTION ACCURACY OF AUTOMATIC SPEECH TRANSCRIPTION (AST) BASED ON A MULTIPLE SPEECH-TO-TEXT ENGINES AND METHODS OF USE THEREOF | December 2018 | October 2020 | Allow | 23 | 1 | 0 | Yes | No |
| 16203404 | AUTOMATED BIAS ELIMINATION IN NEGOTIATED TERMS | November 2018 | October 2023 | Allow | 58 | 3 | 0 | Yes | No |
| 16191907 | Dynamic Contextual Response Formulation | November 2018 | November 2021 | Abandon | 36 | 3 | 0 | Yes | No |
| 16192245 | SYSTEM AND METHOD FOR ACCELERATING USER AGENT CHATS | November 2018 | September 2021 | Allow | 34 | 3 | 0 | Yes | No |
| 16191151 | INTERACTIVE REPRESENTATION OF CONTENT FOR RELEVANCE DETECTION AND REVIEW | November 2018 | March 2022 | Abandon | 40 | 4 | 0 | Yes | No |
| 16189997 | SELECTING SPEECH FEATURES FOR BUILDING MODELS FOR DETECTING MEDICAL CONDITIONS | November 2018 | September 2020 | Allow | 22 | 1 | 0 | No | No |
| 16157118 | Estimating Lung Volume by Speech Analysis | October 2018 | July 2020 | Allow | 21 | 1 | 0 | Yes | No |
| 16156263 | ANALYSING SPEECH SIGNALS | October 2018 | October 2021 | Allow | 36 | 4 | 0 | Yes | No |
| 16156623 | DETECTION OF LIVENESS | October 2018 | September 2020 | Allow | 23 | 1 | 0 | No | No |
| 16156636 | MACHINE LEARNING DATA EXTRACTION ALGORITHMS | October 2018 | April 2020 | Allow | 19 | 0 | 0 | Yes | No |
| 16149758 | AUDIO SIGNAL ENCODING METHOD, APPARATUS AND COMPUTER READABLE MEDIUM | October 2018 | June 2020 | Allow | 21 | 1 | 0 | No | No |
| 16143910 | DEEP MULTI-CHANNEL ACOUSTIC MODELING | September 2018 | March 2020 | Allow | 18 | 0 | 0 | Yes | No |
| 16137069 | DIALOG SYSTEM WITH AUTOMATIC REACTIVATION OF SPEECH ACQUIRING MODE | September 2018 | April 2020 | Allow | 19 | 1 | 0 | No | No |
| 16127330 | ELECTRONIC DEVICE, SERVER AND CONTROL METHOD THEREOF | September 2018 | April 2021 | Allow | 31 | 3 | 0 | No | No |
| 16103295 | COMPATIBLE MULTI-CHANNEL CODING/DECODING | August 2018 | October 2018 | Allow | 2 | 0 | 0 | Yes | No |
| 16103298 | COMPATIBLE MULTI-CHANNEL CODING/DECODING | August 2018 | October 2018 | Allow | 2 | 0 | 0 | Yes | No |
| 16102690 | SYSTEMS AND METHODS FOR PROCESSING MEETING INFORMATION OBTAINED FROM MULTIPLE SOURCES | August 2018 | October 2020 | Allow | 26 | 1 | 0 | No | No |
| 16101504 | CONVOLUTIONAL STATE MODELING FOR PLANNING NATURAL LANGUAGE CONVERSATIONS | August 2018 | July 2020 | Allow | 23 | 1 | 0 | Yes | No |
| 16059951 | RESOURCE MANAGEMENT USING NATURAL LANGUAGE PROCESSING TAGS | August 2018 | July 2020 | Allow | 23 | 1 | 0 | No | No |
| 16058640 | SYNTHESIZING SPEECH FROM TEXT USING NEURAL NETWORKS | August 2018 | December 2020 | Allow | 28 | 2 | 0 | Yes | No |
| 16075619 | AUDIO SIGNAL ROUTING TO AUDIO DEVICES | August 2018 | August 2020 | Allow | 25 | 2 | 0 | Yes | No |
| 16053922 | Method of translating and synthesizing a foreign language | August 2018 | March 2020 | Allow | 19 | 0 | 0 | Yes | No |
| 16054022 | CONVERSATION BOUNDARY DETERMINATION | August 2018 | July 2021 | Allow | 35 | 4 | 0 | Yes | No |
| 16053897 | METHOD AND APPARATUS FOR GENERATING SPEECH SYNTHESIS MODEL | August 2018 | December 2020 | Allow | 28 | 2 | 0 | No | No |
| 16053912 | METHOD AND APPARATUS FOR GENERATING SPEECH SYNTHESIS MODEL | August 2018 | December 2020 | Allow | 29 | 2 | 0 | No | No |
| 16053190 | METHOD AND APPARATUS FOR TRAINING OF CONVERSATIONAL AGENTS | August 2018 | October 2020 | Allow | 26 | 1 | 0 | No | No |
| 16053718 | IMPLICIT DIALOG APPROACH FOR CREATING CONVERSATIONAL ACCESS TO WEB CONTENT | August 2018 | June 2020 | Allow | 23 | 1 | 0 | Yes | No |
| 16052930 | VISUALLY PRESENTING INFORMATION RELEVANT TO A NATURAL LANGUAGE CONVERSATION | August 2018 | August 2022 | Abandon | 48 | 2 | 1 | No | No |
| 16074953 | TECHNIQUES FOR SPATIALLY SELECTIVE WAKE-UP WORD RECOGNITION AND RELATED SYSTEMS AND METHODS | August 2018 | April 2022 | Allow | 45 | 5 | 0 | No | No |
| 16031637 | SYLLABLE BASED AUTOMATIC SPEECH RECOGNITION | July 2018 | October 2020 | Allow | 27 | 2 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SHAH, PARAS D.
With a 16.7% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges 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, 13.6% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner SHAH, PARAS D works in Art Unit 2659 and has examined 382 patent applications in our dataset. With an allowance rate of 81.4%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 31 months.
Examiner SHAH, PARAS D's allowance rate of 81.4% places them in the 54% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by SHAH, PARAS D receive 2.07 office actions before reaching final disposition. This places the examiner in the 51% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by SHAH, PARAS D is 31 months. This places the examiner in the 55% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +33.5% benefit to allowance rate for applications examined by SHAH, PARAS 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, 29.0% of applications are subsequently allowed. This success rate is in the 57% 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 31.3% of cases where such amendments are filed. This entry rate is in the 47% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
When applicants request a pre-appeal conference (PAC) with this examiner, 33.3% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 34% 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 52.0% of appeals filed. This is in the 23% percentile among all examiners. Of these withdrawals, 53.8% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 41.0% are granted (fully or in part). This grant rate is in the 30% 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 0.0% of allowed cases (in the 21% 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 28% percentile). This examiner issues Quayle actions less often than average. Allowances may 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.