Risk Redux — Conflicts of the Father…, More on Judicial Recusal Reasons, Another Law Firm Data Breach


Lawyer’s Duty to Inform Judge of Basis for Possible Recusal” —

  • “Q: Dear Ethics Lawyer, I am counsel in a case involving a web of corporate parties on each side. I now have information that our judge’s adult children own a substantial interest in a two of the parties. I do not know whether the judge or counsel for the opposing parties is aware of this. I like this judge and am not anxious to secure his recusal, but do I have an obligation to disclose my knowledge of this to anyone?”
  • A: This subject is the topic of ABA Formal Op. 522 (April 8, 2026), which opines that Model Rule 8.4(d), which prohibits a lawyer from engaging in conduct that is prejudicial to the administration of justice, requires a lawyer, as an officer of the court, to disclose information that the lawyer knows is reasonably likely to give rise to a judicial disqualification obligation. Ordinarily, the disclosure should be made to the tribunal, but in certain limited circumstances, disclosure could be required to be made to a Chief Judge or higher authority if it appears that relevant judge is ignoring their obligation to consider the matter. The opinion describes several hypothetical situations that might require action, in the nature of ‘familial and significant personal relationships with parties or lawyers in an action, economic interests implicated by the action, and extrajudicial knowledge of or involvement in the events underlying the action.”
  • “Any disclosure obligation of the lawyer in this situation, as in many contexts, is subject to the lawyer’s obligation of confidentiality to the lawyer’s client under Rule 1.6. If the lawyer learned the facts that would otherwise give rise to a disclosure obligation only from a client, or another context relating to the relationship that would make the information subject to Rule 1.6 protection, then notwithstanding Model Rule 8.4(d), the lawyer may not make the disclosure without consent of the client. However, this limitation itself is subject to exceptions when the lawyer reasonably believes that disclosure is necessary ‘to comply with other law’ (see Rule 1.6(b)(6)), or as part of Rule 3.3(b)’s requirement for candor to the tribunal when that rule requires ‘reasonable remedial measures, including, if necessary, disclosure to the tribunal.’ Formal Op. 522 at 6.”
  • “While the opinion arguably deals with a relatively narrow subject, it does also contain a useful discussion of other circumstances in which a lawyer has an obligation to make a disclosure to the court to ensure procedural fairness and avoid conduct prejudicial to the administration of justice. For example, the opinion addresses the lawyer’s disclosure obligation when a party has died or when facts have arisen or become known that render the jurisdiction of the court defective. In other circumstances, the lawyer has no comparable obligation. For example, the lawyer has no duty to disclose the passing of a statute of limitations that an opposing party must raise as an affirmative defense, or to present relevant contrary evidence that an opposing party simply did not exercise diligence to gather (other than in an ex parte proceeding). Id. at 5-6. The lawyer’s ‘officer of the court’ role, somewhat in tension with the lawyer’s client advocacy role, is limited to matters that affect the overall integrity and fairness of the judicial process in which advocates operate.”

David Kluft asks: “Are my dad’s former client conflicts imputed to me?” —

  • “In 2025, a lawyer appeared in a bankruptcy proceeding on behalf of a debtor. Two creditors moved to disqualify him on the grounds that the lawyer’s father (a partner at the same firm) had previously represented them in various matters, including their own bankruptcy matters between 1997 and 2001, plus there was some sort of continuing attorney client relationship with the father through 2010.”
  • “When the judge asked the creditors how the matters were ‘substantially related,’ they answered: ‘they’re both bankruptcies.’”
  • “The Court denied the motion to disqualify because the prior representation ended 10 or 20 years ago, and none of the debts or relationships in the prior case overlapped with the current matter. Also, even though the lawyer’s father knew about the creditors finances from the prior bankruptcies, ‘assets and liabilities are required to be disclosed in bankruptcy schedules, so they are not confidential.’”
  • Decision: here.

Florida Law Firm Data Breach Affects 65,000 Individuals” —

  • “A cyberattack at the law firm GrayRobinson has affected 65,000 individuals. Data breaches have also been announced by C2N Diagnostics in Missouri and Virta Health and Virta Medical in Colorado.”
    GrayRobinson”
  • “The Orlando, Florida-based law firm GrayRobinson, P.A., has notified the Maine Attorney General about a data breach affecting 65,113 individuals, including 52 Maine residents. Among those individuals, 54,131 people had their protected health information exposed in the incident. In its substitute data breach notice, GrayRobinson explained that unauthorized access to its network was detected on or around March 24, 2025. Immediate steps were taken to secure its network, and assisted by third-party cybersecurity specialists, the incident was investigated to determine the extent to which sensitive information had been compromised.”
  • “The investigation confirmed that its network was accessed by an unauthorized third party between March 5, 2025, and March 24, 2025, and during that time, files containing personal and protected health information were exfiltrated from its network. The data was reviewed, and on April 13, 2026, the file review concluded and determined that full names, dates of birth, Social Security numbers, driver’s license numbers, state and government ID numbers, financial account information, medical information, and health insurance information were involved.”
  • “GrayRobinson said it had taken many precautions to protect against unauthorized access to its systems and data, and continually evaluates and modifies its practices and internal controls to enhance security and ensure the privacy of sensitive information. Complimentary credit monitoring and identity theft protection services have been made available. Notification letters started to be sent to the affected individuals on April 24, 2026.”



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What is SAS?

SAS stands for Statistical Analytics System. It is a software system developed to accommodate complex analytics, data techniques and other mathematics, but is mostly used by big companies, especially in the banking, health and insurance sectors. SAS is not open-source, this is not free but it is not affordable either, and this is the greatest deterrent to business owners and start-ups that would have been able to do so.At present SAS is expanding its platform to include emerging technologies like AI and machine learning tools as well. Moreover, it also provides services related to custom intelligence, risk management and identifying, big data functionalities, etc. 

Why SAS?

Since SAS has been developed primarily for industrial and commercial purposes, this may not be the greatest option for beginners or solo data analysts to discover except if their main objective is to think about working in an industrial environment and to have new skills to be more competitive in the current industry. For all those who wish to learn SAS computing for free, a free version of SAS known as SAS University is available for educational purposes only and not for industrial applications. 

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Features of SAS:

The exciting features of the SAS are:

  • SaS is not a free platform or even an open source.
  • It integrates the functionalities or capabilities of AI and machining learning techniques.
  • SAS comes with high data security and stability.
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What is Python?

Python is an open-source object-oriented programming language which has become exceptionally successful with data analysts and software engineers. Python is recommended as it endorses, among many others, organized, object-oriented and operational programming and incorporates current infrastructure.Python comes with libraries to support a variety of data manipulation functions, including data integration, information extraction, business intelligence, visual analytics, and artificial intelligence. The libraries of the python are: pandas, Numpy, tensorflow, matplotlib, etc.

Why Python?

The simple truth that Python is perhaps the most popular language between many software developers and project managers helps make it simple to master, interpret, and then use. Python provides a sleek comprehensible syntax that makes it more convenient for newbies because they don’t go into a lot of programming. This provides people an opportunity to plan mostly on learning the other operations of data science.

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Features of Python:

The attractive features of python are:

  • Python is easy and simple to learn programming language as it requires menial coding. 
  • It comes with more number of libraries
  • It comes with extensive support for many other operating systems like Mac platforms, Linus and Windows.
  • Python is a highly scalable, interpreted and fastest programming language.
  • Moreover, python comes with great features such as  visualization, data analytics, and data manipulation functions as well.
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Comparison between SAS vs Python:

Now let us compare the SAS and python in detail.

Python:Python, on the other hand, is quick to understand thanks to its simple function. However, instead of an interactive GUI like the one in SAS, Python has an IPython notebook that allows students to access code.

SAS:For individuals who are really experienced with SQL, mastering the fundamental SAS language is possible due to a growing Emphasis. Prior to actually writing code, an adult should first acquaint himself/herself with the SAS GUI interface. There is no need to have previous knowledge to learn SAS.

Python: Python becoming an open source platform and it is very much free to download it. However they won’t provide any tech support or guarantee documents for the users. It is mostly preferred by the small and medium sized organizations due to its flexibility and transparency of the systems.

SAS:SAS is a licensed option and is more expensive as well. This SAS platform is equipped with mutli[le features which can be used only after the purchasing and upgrades. Most of the big IT companies rely on it.

  • Data Science capabilities:

Python:In the field of data science, Python language succeeds in the analysis of complex data. Libraries also including Scikit Learn, Pandas, and NumPy, and Matplotlib for visual representation, end up making it an alternative for beginners who want to undertake a career in data science.

SAS:SAS also typically includes data science abilities, such as simultaneous data analysis, access to and strategic planning of datasets through an interconnected SQL database system.

  • Libraries and tools supported:

Python:Python includes many other libraries for web design, software development, data science and visualization, desktop GUI programming, as well as machine learning and AI frameworks. Python is therefore a great option for exploiting and envisioning huge amounts of data.

SAS:SAS provides a variety of built-in business intelligence, data storage, graphical and computational tools that make it a better platform for manipulating data, especially on stand-alone data centres or devices. Although SAS could be used to determine outcomes very well, it is not as great as Python in terms of data visual representation as it cannot create special statistics. 

Python:Python is a powerful device that is not restricted to data analytics and software engineering functionality, creating a broader market for individuals with Python tech skills.

SAS:For a long time, SAS held the largest market share, and in particular the organizational market. However, the economy is continuously shifting toward these open-source technologies, which is why Python has grown exceptionally in prominence.

  • Application advancements:

Python:Due to its open nature of Python, the introduction of innovative features and methodologies is fast compared to SAS. Although there are opportunities for sustainable development since they’re not well-tested due to their accessible ability to contribute.

SAS:SAS is introducing a new edition in the type of software releases or rollouts. As it is granted a license, all functionalities and updates are well tested. It’s much less likely to be an error especially in comparison to Python.

Python:Python has a fierce challenge with graphics bundles such as VisPy, Matplotlib. But, compared to SAS, it’s still complex.

SAS:SAS includes system graphical capabilities. But this is extremely practical. Making any customization is a difficult task to achieve. We need to comprehend the SAS Graph package rigorously to configure it.

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Python:Python is recommended by start-ups, small and medium-sized technology companies since it provides advanced features for handling large unorganized data sets at no cost. It even has AI and machine learning abilities.

SAS:SAS is mostly embraced by large corporations whose major worry is high stability, better security and devoted customer support, not the expense of the application.

Python:Python is continuously replaced with the latest features from the community, making the latest developments quicker than SAS.

SAS:SAS will only be amended when a new version is rolled out.

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Conclusion:

The technology is changing towards transmission. Second, tools like Python are flexible and most recommended for data science. SAS is much more appropriate to statistical analysis and business intelligence. For this reason, it would have been more beneficial for a beginner interested in exploring data science to understand Python. But adding SAS to their knowledge base would give newbies more possibilities.

Related Articles:

  1. Python Partial Functions
  2. Python Split Method
  3. SAS Programming
  4. SAS BI Tools
  5. SAS Vs Tableau



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