Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
GDPR is coming for you whether you’re ready or not. Companies must show compliance by May 25, 2018. Take a look at the presentation to learn more about the new law that is going to change the way data is handled across the world. Read about the how it affects you and the steps you can take to make sure you’re GDPR ready!
About Extentia Information Technology:
Extentia is a global technology and services firm that helps clients transform and realize their digital strategies. With a focus on enterprise mobility, cloud computing, and user experiences, Extentia strives to accomplish and surpass your business goals. Our team is differentiated by an emphasis on excellent design skills that we bring to every project. Extentia’s work environment and culture inspire team members to be innovative and creative, and to provide clients with an exceptional partnership experience.
www.extentia.com
Artificial Intelligence applications are transforming the practices of law. Opportunities abound for all participants in legal practices. Those that learn and understand will be on the leading edge of this transformation
Unit 6 Privacy and Data Protection 8 hrTushar Rajput
Right to Privacy and its Legal Framework, The Concept of Privacy, National Legal
Framework for Protecting Privacy, International Legal Framework for Protecting Privacy, Privacy Related Wrongs and Remedies, Data Security, The Concept of Security in Cyberspace, Technological Vulnerabilities, Legal Response to Technological
Vulnerabilities, Security Audit (VA/PT), Data Protection, Data Protection Position in
India, Privacy Policy, Emerging Issues in Data Protection and Privacy, BPOs and
Legal Regime in India, Protect Kids' Privacy Online, Evolving Trends in Data Protection and Information Security
Introduction to artificial intelligence and lawLawScienceTech
Presentation at Seminar on Artificial Intelligence and Law (15/03/2018) at the Norwegian Research Center for Computers and Law (NRCCL), University of Oslo
Artificial Intelligence and Law - A Primer Daniel Katz
Artificial Intelligence in Law (and beyond) including Machine Learning as a Service, Quantitative Legal Prediction / Legal Analytics, Experts + Crowds + Algorithms
GDPR is coming for you whether you’re ready or not. Companies must show compliance by May 25, 2018. Take a look at the presentation to learn more about the new law that is going to change the way data is handled across the world. Read about the how it affects you and the steps you can take to make sure you’re GDPR ready!
About Extentia Information Technology:
Extentia is a global technology and services firm that helps clients transform and realize their digital strategies. With a focus on enterprise mobility, cloud computing, and user experiences, Extentia strives to accomplish and surpass your business goals. Our team is differentiated by an emphasis on excellent design skills that we bring to every project. Extentia’s work environment and culture inspire team members to be innovative and creative, and to provide clients with an exceptional partnership experience.
www.extentia.com
Artificial Intelligence applications are transforming the practices of law. Opportunities abound for all participants in legal practices. Those that learn and understand will be on the leading edge of this transformation
Unit 6 Privacy and Data Protection 8 hrTushar Rajput
Right to Privacy and its Legal Framework, The Concept of Privacy, National Legal
Framework for Protecting Privacy, International Legal Framework for Protecting Privacy, Privacy Related Wrongs and Remedies, Data Security, The Concept of Security in Cyberspace, Technological Vulnerabilities, Legal Response to Technological
Vulnerabilities, Security Audit (VA/PT), Data Protection, Data Protection Position in
India, Privacy Policy, Emerging Issues in Data Protection and Privacy, BPOs and
Legal Regime in India, Protect Kids' Privacy Online, Evolving Trends in Data Protection and Information Security
Introduction to artificial intelligence and lawLawScienceTech
Presentation at Seminar on Artificial Intelligence and Law (15/03/2018) at the Norwegian Research Center for Computers and Law (NRCCL), University of Oslo
Explores:
1. Introduction to Privacy Regimes in the United States and Abroad
2. Mobile Applications and Devices
3. Lawful Collection and Use of “Big Data”
4. International Privacy and Cross-Border Data Transfers
5. Data Security Requirements and Data Breach Response
6. IT Outsourcing and the Cloud
7. Recent Developments and Emerging Issues
All levels of society rely upon information technology systems. Network operations are pervasive and impact nearly every aspect of our society. The desire of companies to collect, use, store, and secure information about customers, employees, and other individuals is a requirement of the new economy. It is no wonder that the prevalence of electronic communications and a growing dependency on cyber structures and operations also create potential vulnerabilities to cyberattacks. It is critical to preserve information systems and address and prevent weaknesses in cyber protection efforts. This webinar examines the means for companies to reach data goals ethically, efficiently and legally. The panel will also discuss the evolving regulatory approaches of the European Union, United States Federal government and significant developments in U.S. state regimes, including California. Best practices and model comprehensive privacy and cybersecurity policies are discussed. And, data breach response and related litigation, including class action litigation issues and fiduciary duty violations under corporate law, are discussed.
Part of the webinar series: CORPORATE & REGULATORY COMPLIANCE BOOTCAMP 2022 - PART I
See more at https://www.financialpoise.com/webinars/
25th May 2018 marks the enforcement date of EU’s General Data Protection Regulation. This new regulation strives to increase privacy for individuals and penalize businesses in breach. The complexity organizations face in managing consumer data is driving the growth of privacy tech solutions that decisively address a slew of privacy compliance challenges.
Sharing slides from my presentation at the Legal Tech Fair 2018. Loved the idea of engaging on the inter-play of blockchain and the law!
The attached slides are intended to discuss:
1. The basics of blockchain;
2. the applicability of existing laws to blockchain; and
3. what blockchain (and smart contracts) mean for lawyers and the legal profession.
Reach out to have a chat and exchange thoughts!
Ethical Issues in Machine Learning Algorithms. (Part 1)Vladimir Kanchev
This presentation describes recent ethical issues related to AI and ML algorithms. Its focus is data and algorithmic bias, algorithmic interpretability and how GDPR relates to these issues.
Functionalities in AI Applications and Use Cases (OECD)AnandSRao1962
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It covers the methodology for assessing AI use cases by technology, value chain, use, business impact, business value, and effort required.
With GDPR coming into effect, we can see a lot of changes in the privacy policies of companies doing business online. The presentation is a description of GDPR and its implications in India and worldwide. The main aim of the presentation is to identify the key issues of data privacy and the rights available to the consumer who's data is to be shared.
On 28 May 2019 Ms. Nathalie Smuha (KULeuven and EU Commission DG Connect) presented on the European strategy with regards to Artificial Intelligence, which includes assembling a high-level group of experts on AI with a double mission: (1) draft guidelines for Trustworthy AI and (2) draft recommendations in support of policy and investments.
The second half of the presentation was focused on the guidelines for Trustworthy AI which were published in a first final version in April 2019. The guidelines are layered in a way that each layer builds upon the other.
- level 0 (foundation): AI should be lawful, ethical and robust
- level 1 (principles): AI should respect human autonomy, prevent harm, be fair and be explicable.
- level 2 (requirements): AI should meet requirements linked to 7 groups: (1) human agency and oversight, (2) technical robustness and safety, (3) privacy and data governance, (4) transparency, (5) diversity, non-discrimination and fairness, (6) societal and environmental well-being, and (7) accountability.
- level 3 (questions): AI developers and deployers should ask themselves a number of questions. The high-level expert group has worked out 131 questions to guide practical implementation of trustworthy AI. Theses questions are subject to a practice test, namely YOU can try them out and give the expert group feedback.
This framework compares to other frameworks like the ones in Japan, Canada, Singapore, Dubai, ... and the one from the OECD (published in May 2019).
Electronic Evidence is found in all computer and multimedia as well as communication devices. Increasingly most of the business transactions are done in paperless mode but when the disputes arise, then where to look for evidence? This presentation will help you in this field.
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
MWLUG - 2017
Tim Clark & Stephanie Heit
Tim & Steph explain the basics of GDPR and give some recommendations about what you can do to be ready.
Data sources are in the final slides.
For more information about how BCC can help you get your Domino data ready for GDPR please contact us here.
http://bcchub.com/bcc-domino-protect/
Privacy in AI/ML Systems: Practical Challenges and Lessons LearnedKrishnaram Kenthapadi
How do we protect the privacy of users when building large-scale AI based systems? How do we develop machine learning models and systems taking fairness, accuracy, explainability, and transparency into account? Model fairness and explainability and protection of user privacy are considered prerequisites for building trust and adoption of AI systems in high stakes domains. We will first motivate the need for adopting a “fairness, explainability, and privacy by design” approach when developing AI/ML models and systems for different consumer and enterprise applications from the societal, regulatory, customer, end-user, and model developer perspectives. We will then focus on the application of privacy-preserving AI techniques in practice through industry case studies. We will discuss the sociotechnical dimensions and practical challenges, and conclude with the key takeaways and open challenges.
General Data Protection Regulations (GDPR): Do you understand it and are you ...Cvent
Whether you’re an event or hospitality professional in a small, medium or large organization, the General Data Protection Regulation (GDPR) is going to affect you. Get prepared with Cvent and Debrah Harding of Market Research Society before the 25th May deadline. GDPR is a new EU regulation, designed for the digital age. GDPR will strengthen an individual's rights and increase business accountability for data privacy and holding personal information. Organizations found breaching the regulations can face fines of up to 20 million Euros or up to 4% of annual global turnover. At Cvent we are already on track to becoming GDPR compliant and we want to advise our industry partners on how to become compliant too.
In this deck, Greylock Partner Jerry Chen reviews some of the traditional economic moats that technology companies typically leverage and how they are being disrupted. I believe that startups today need to build systems of intelligence™ — AI powered applications — “the new moats.”
Explores:
1. Introduction to Privacy Regimes in the United States and Abroad
2. Mobile Applications and Devices
3. Lawful Collection and Use of “Big Data”
4. International Privacy and Cross-Border Data Transfers
5. Data Security Requirements and Data Breach Response
6. IT Outsourcing and the Cloud
7. Recent Developments and Emerging Issues
All levels of society rely upon information technology systems. Network operations are pervasive and impact nearly every aspect of our society. The desire of companies to collect, use, store, and secure information about customers, employees, and other individuals is a requirement of the new economy. It is no wonder that the prevalence of electronic communications and a growing dependency on cyber structures and operations also create potential vulnerabilities to cyberattacks. It is critical to preserve information systems and address and prevent weaknesses in cyber protection efforts. This webinar examines the means for companies to reach data goals ethically, efficiently and legally. The panel will also discuss the evolving regulatory approaches of the European Union, United States Federal government and significant developments in U.S. state regimes, including California. Best practices and model comprehensive privacy and cybersecurity policies are discussed. And, data breach response and related litigation, including class action litigation issues and fiduciary duty violations under corporate law, are discussed.
Part of the webinar series: CORPORATE & REGULATORY COMPLIANCE BOOTCAMP 2022 - PART I
See more at https://www.financialpoise.com/webinars/
25th May 2018 marks the enforcement date of EU’s General Data Protection Regulation. This new regulation strives to increase privacy for individuals and penalize businesses in breach. The complexity organizations face in managing consumer data is driving the growth of privacy tech solutions that decisively address a slew of privacy compliance challenges.
Sharing slides from my presentation at the Legal Tech Fair 2018. Loved the idea of engaging on the inter-play of blockchain and the law!
The attached slides are intended to discuss:
1. The basics of blockchain;
2. the applicability of existing laws to blockchain; and
3. what blockchain (and smart contracts) mean for lawyers and the legal profession.
Reach out to have a chat and exchange thoughts!
Ethical Issues in Machine Learning Algorithms. (Part 1)Vladimir Kanchev
This presentation describes recent ethical issues related to AI and ML algorithms. Its focus is data and algorithmic bias, algorithmic interpretability and how GDPR relates to these issues.
Functionalities in AI Applications and Use Cases (OECD)AnandSRao1962
This presentation was given at the OECD Network of AI Specialists (ONE) held in Paris on February 26 and 27. It covers the methodology for assessing AI use cases by technology, value chain, use, business impact, business value, and effort required.
With GDPR coming into effect, we can see a lot of changes in the privacy policies of companies doing business online. The presentation is a description of GDPR and its implications in India and worldwide. The main aim of the presentation is to identify the key issues of data privacy and the rights available to the consumer who's data is to be shared.
On 28 May 2019 Ms. Nathalie Smuha (KULeuven and EU Commission DG Connect) presented on the European strategy with regards to Artificial Intelligence, which includes assembling a high-level group of experts on AI with a double mission: (1) draft guidelines for Trustworthy AI and (2) draft recommendations in support of policy and investments.
The second half of the presentation was focused on the guidelines for Trustworthy AI which were published in a first final version in April 2019. The guidelines are layered in a way that each layer builds upon the other.
- level 0 (foundation): AI should be lawful, ethical and robust
- level 1 (principles): AI should respect human autonomy, prevent harm, be fair and be explicable.
- level 2 (requirements): AI should meet requirements linked to 7 groups: (1) human agency and oversight, (2) technical robustness and safety, (3) privacy and data governance, (4) transparency, (5) diversity, non-discrimination and fairness, (6) societal and environmental well-being, and (7) accountability.
- level 3 (questions): AI developers and deployers should ask themselves a number of questions. The high-level expert group has worked out 131 questions to guide practical implementation of trustworthy AI. Theses questions are subject to a practice test, namely YOU can try them out and give the expert group feedback.
This framework compares to other frameworks like the ones in Japan, Canada, Singapore, Dubai, ... and the one from the OECD (published in May 2019).
Electronic Evidence is found in all computer and multimedia as well as communication devices. Increasingly most of the business transactions are done in paperless mode but when the disputes arise, then where to look for evidence? This presentation will help you in this field.
Explore the risks and concerns surrounding generative AI in this informative SlideShare presentation. Delve into the key areas of concern, including bias, misinformation, job loss, privacy, control, overreliance, unintended consequences, and environmental impact. Gain valuable insights and examples that highlight the potential challenges associated with generative AI. Discover the importance of responsible use and the need for ethical considerations to navigate the complex landscape of this transformative technology. Expand your understanding of generative AI risks and concerns with this engaging SlideShare presentation.
MWLUG - 2017
Tim Clark & Stephanie Heit
Tim & Steph explain the basics of GDPR and give some recommendations about what you can do to be ready.
Data sources are in the final slides.
For more information about how BCC can help you get your Domino data ready for GDPR please contact us here.
http://bcchub.com/bcc-domino-protect/
Privacy in AI/ML Systems: Practical Challenges and Lessons LearnedKrishnaram Kenthapadi
How do we protect the privacy of users when building large-scale AI based systems? How do we develop machine learning models and systems taking fairness, accuracy, explainability, and transparency into account? Model fairness and explainability and protection of user privacy are considered prerequisites for building trust and adoption of AI systems in high stakes domains. We will first motivate the need for adopting a “fairness, explainability, and privacy by design” approach when developing AI/ML models and systems for different consumer and enterprise applications from the societal, regulatory, customer, end-user, and model developer perspectives. We will then focus on the application of privacy-preserving AI techniques in practice through industry case studies. We will discuss the sociotechnical dimensions and practical challenges, and conclude with the key takeaways and open challenges.
General Data Protection Regulations (GDPR): Do you understand it and are you ...Cvent
Whether you’re an event or hospitality professional in a small, medium or large organization, the General Data Protection Regulation (GDPR) is going to affect you. Get prepared with Cvent and Debrah Harding of Market Research Society before the 25th May deadline. GDPR is a new EU regulation, designed for the digital age. GDPR will strengthen an individual's rights and increase business accountability for data privacy and holding personal information. Organizations found breaching the regulations can face fines of up to 20 million Euros or up to 4% of annual global turnover. At Cvent we are already on track to becoming GDPR compliant and we want to advise our industry partners on how to become compliant too.
In this deck, Greylock Partner Jerry Chen reviews some of the traditional economic moats that technology companies typically leverage and how they are being disrupted. I believe that startups today need to build systems of intelligence™ — AI powered applications — “the new moats.”
How do we see the healthcare's digital future and its impact on our lives?Jane Vita
"Healthcare is undergoing major changes spurred on by, but not limited to, technology.
Digitalisation is changing the way we think about health, what taking care of it really entails, our personal role in healthcare systems and the way we interact with technology in the context of health.
In many ways, we are entering a post-institutional age of increased personal responsibility, which presents healthcare service providers and other players in the field with major opportunities and great risks. Technology has the potential to empower people and help them become more active in the management of their and their families’ health. This will change the relationship of the patient and the caregiver in profound ways." Mirkka Länsisalo
A co-creation with Mirkka Läansisalo and Sala Heinänen, at Futurice.
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
Sarah Tavel of Greylock Partners analyzes the unique financial pain points that young Americans are facing and explains why fintech is ripe for disruption.
In Healthcare, we provide detailed analysis and projections of healthcare fields, occupations, and their wages. In addition, we discuss the important skills and work values associated with healthcare fields and occupations. Finally, We analyze the implications of our findings for the racial, ethnic, and class diversity of the healthcare workforce in the coming decade.
Launching a startup isn't easy. At each stage of scaling - from founding to product-market fit, from product-market fit to hyper growth, and from hyper growth to maturity - entrepreneurs face unique challenges. Greylock Partners hosted an event, called Greyscale, focused on these challenges at each stage. In the opening keynote, Jerry Chen of Greylock Partners discusses the state of enterprise software after the first quarter of 2016. He summarizes the private and public markets, M&A activity, and explains how this climate affects the startup environment.
Lee Rainie, director of internet and technology research at Pew Research Center, discussed recent findings about the prevalence and impact of online harassment at the Cyber Health and Safety Virtual Summit: 41% of American adults have been harassed online and 66% have witnessed harassment. The findings come from the Center’s recent report on these issues.
Fin (Legal) Tech – Law’s Future from Finance’s Past (Some Thoughts About the ...Daniel Katz
Fin (Legal) Tech – Law’s Future from Finance’s Past (Some Thoughts About the Financialization of the Law) – Professors Daniel Martin Katz + Michael J Bommarito
The Future of Legal Services, NCSB Committee to Study Regulatory Reform, July...Legal Evolution PBC
Overview of economic forces currently impacting the market for legal services. Includes transition from one-to-one to one-to-many legal products and solutions. Challenge for profession is to lagging legal productivity. Requires investment in multidisciplinary human capital combined with the creation of new business models.
Investments in Compliance and Legal Automation and the AI FactorVladimir Vereskoun
Presented by Vladimir Vereskoun at the Techlawfest conference in Singapore on 3 April 2018. The slides describe how to market a legaltech or a regtech startup to avoid looking "niche" and the AI factor.
Edgar Melo e Costa, is an experienced entrepreneur, investor, whose portfolio of private and technology companies has been very successful in a wide array of markets and Sectors. Edgar Costa is Partner in Capital Ventures. Prior to focusing on being an active and involved board member and serving as an advisory partner to a variety of investment companies and equity, Edgar Costa was a successful Chief Executive Officer of two different technology companies (Altran Technologies, Segula Technologies)and was also an investment business regarding mergers & acquisitions of several companies during almost 20 years of experience and work with companies in Germany, France, Uk, Spain and Portugal.
This presentation by the John O. McGinnis, Northwestern Pritzker School of Law was made during a roundtable discussion on Disruptive innovations in legal services held at the 61st meeting of the Working Party No. 2 on Competition and Regulation on 13 June 2014. More papers, presentations and contributions from delegations on the topic can be found out at www.oecd.org/daf/competition/disruptive-innovations-in-legal-services.htm
Legal Education in the Blockchain Revolution de Mark Fenwick,* Wulf A. Kaal**...eraser Juan José Calderón
ABSTRACT
The legal profession is one of the most disrupted sectors of the consulting industry today. The rise of Legal Technology, artificial intelligence, big data, machine learning, and, most importantly, blockchain technology is changing the practice of law. The sharing economy and platform companies challenge many of the traditional assumptions, doctrines, and concepts of law and governance—requiring litigators, judges, and regulators to adapt. Lawyers need to be equipped with the necessary skillsets to operate effectively in the new world of disruptive innovation in law. A more creative and innovative approach to educating lawyers for the twenty-first century is needed.
Imprima is pleased to present How AI is changing legal due diligence, published in association with Mergermarket. With the introduction of artificial intelligence to the legal sector over the past few years, this technology has been gradually changing the way that legal due diligence is conducted.
Exploring these trends, Mergermarket, on behalf of Imprima, spoke with five experts from the fields of law and technology to share their insights on the day-to-day use of artificial intelligence in legal due diligence processes and how this might continue to develop.
Points of discussion include:
• Software solutions have allowed for greater efficiency in legal due diligence processes. Typical pain points associated with legal due diligence include the amount of time needed to both compile and review countless documents. AI can prove a useful tool to help streamline this process. However, there are limits to what current technologies can achieve.
• Emerging AI technology is met with increasing enthusiasm. Law firms are showing willingness to adopt AI processes into their practices. While this is not yet universal, some clients are beginning to expect law firms to use tech-enabled processes and be able to offer innovative solutions.
• Is AI causing permanent changes to the legal workforce? While the fears that AI technology would automate job roles, and lead to mass redundancies in legal firms proved unfounded, it is true that adoption of these technologies could lead to major changes in the legal sector. It is unlikely that the need for new lawyers will ever be fully eliminated – rather that the nature of their work may change, as AI technologies allow lawyers to shift their focus to higher-value work.
Imprima | How AI is Changing Legal Due DiligenceImprima
Fears that artificial intelligence technology would automate professional jobs and create mass redundancies swept through the legal sector a few years ago – as it did through many professional services industries. While those fears have proved unfounded, AI technology is beginning to change how legal due diligence is conducted.
Similar to {Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal Industry - Professor Daniel Martin Katz (20)
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and ...Daniel Katz
Why We Are Open Sourcing ContraxSuite and Some Thoughts About Legal Tech and the Modern Information Economy - By Michael Bommarito + Daniel Martin Katz from LexPredict
Exploring the Physical Properties of Regulatory Ecosystems - Professors Danie...Daniel Katz
Exploring the Physical Properties of Regulatory Ecosystems: Regulatory Dynamics Revealed by Securities Filings — Professors Daniel Martin Katz + Michael J Bommarito
LexPredict - Empowering the Future of Legal Decision MakingDaniel Katz
LexPredict is an enterprise legal technology and consulting firm, specializing in the application of best-in-class processes and technologies from the technology, financial services, and logistics industries to the practice of law, compliance, insurance, and risk management.
We focus on the goals of prediction, optimization, and risk management to enable holistic organizational changes that empower legal decision-making.
These changes span people and processes, software and data, and execution and education.
Legal Analytics Course - Class 9 - Clustering Algorithms (K-Means & Hierarchical Clustering) - Professor Daniel Martin Katz + Professor Michael J Bommarito
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Drive...Daniel Katz
Legal Analytics Course - Class 5 - Quantitative Legal Prediction + Data Driven Future of Law Practice - Professor Daniel Martin Katz + Professor Michael J Bommarito
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Prof...Daniel Katz
The Three Forms of (Legal) Prediction: Experts, Crowds and Algorithms -- Professors Daniel Martin Katz & Michael J. Bommarito - Illinois Tech Law / Univ of Michigan CSCS (Updated Version)
Guide on the use of Artificial Intelligence-based tools by lawyers and law fi...Massimo Talia
This guide aims to provide information on how lawyers will be able to use the opportunities provided by AI tools and how such tools could help the business processes of small firms. Its objective is to provide lawyers with some background to understand what they can and cannot realistically expect from these products. This guide aims to give a reference point for small law practices in the EU
against which they can evaluate those classes of AI applications that are probably the most relevant for them.
How to Obtain Permanent Residency in the NetherlandsBridgeWest.eu
You can rely on our assistance if you are ready to apply for permanent residency. Find out more at: https://immigration-netherlands.com/obtain-a-permanent-residence-permit-in-the-netherlands/.
Car Accident Injury Do I Have a Case....Knowyourright
Every year, thousands of Minnesotans are injured in car accidents. These injuries can be severe – even life-changing. Under Minnesota law, you can pursue compensation through a personal injury lawsuit.
Lifting the Corporate Veil. Power Point Presentationseri bangash
"Lifting the Corporate Veil" is a legal concept that refers to the judicial act of disregarding the separate legal personality of a corporation or limited liability company (LLC). Normally, a corporation is considered a legal entity separate from its shareholders or members, meaning that the personal assets of shareholders or members are protected from the liabilities of the corporation. However, there are certain situations where courts may decide to "pierce" or "lift" the corporate veil, holding shareholders or members personally liable for the debts or actions of the corporation.
Here are some common scenarios in which courts might lift the corporate veil:
Fraud or Illegality: If shareholders or members use the corporate structure to perpetrate fraud, evade legal obligations, or engage in illegal activities, courts may disregard the corporate entity and hold those individuals personally liable.
Undercapitalization: If a corporation is formed with insufficient capital to conduct its intended business and meet its foreseeable liabilities, and this lack of capitalization results in harm to creditors or other parties, courts may lift the corporate veil to hold shareholders or members liable.
Failure to Observe Corporate Formalities: Corporations and LLCs are required to observe certain formalities, such as holding regular meetings, maintaining separate financial records, and avoiding commingling of personal and corporate assets. If these formalities are not observed and the corporate structure is used as a mere façade, courts may disregard the corporate entity.
Alter Ego: If there is such a unity of interest and ownership between the corporation and its shareholders or members that the separate personalities of the corporation and the individuals no longer exist, courts may treat the corporation as the alter ego of its owners and hold them personally liable.
Group Enterprises: In some cases, where multiple corporations are closely related or form part of a single economic unit, courts may pierce the corporate veil to achieve equity, particularly if one corporation's actions harm creditors or other stakeholders and the corporate structure is being used to shield culpable parties from liability.
Matthew Professional CV experienced Government LiaisonMattGardner52
As an experienced Government Liaison, I have demonstrated expertise in Corporate Governance. My skill set includes senior-level management in Contract Management, Legal Support, and Diplomatic Relations. I have also gained proficiency as a Corporate Liaison, utilizing my strong background in accounting, finance, and legal, with a Bachelor's degree (B.A.) from California State University. My Administrative Skills further strengthen my ability to contribute to the growth and success of any organization.
Defending Weapons Offence Charges: Role of Mississauga Criminal Defence LawyersHarpreetSaini48
Discover how Mississauga criminal defence lawyers defend clients facing weapon offence charges with expert legal guidance and courtroom representation.
To know more visit: https://www.saini-law.com/
Synopsis On Annual General Meeting/Extra Ordinary General Meeting With Ordinary And Special Businesses And Ordinary And Special Resolutions with Companies (Postal Ballot) Regulations, 2018
Synopsis On Annual General Meeting/Extra Ordinary General Meeting With Ordina...
{Law, Tech, Design, Delivery} Observations Regarding Innovation in the Legal Industry - Professor Daniel Martin Katz
1. law+tech+design+delivery
by daniel martin katz
edu | illinois tech - chicago kent college of law
blog | ComputationalLegalStudies.com
corp | LexPredict.com
observations regarding innovation in the legal industry
page | DanielMartinKatz.com
8. poison pill - “the most important innovation in corporate law
since Samuel Calvin Tate Dodd invented the trust
for John D. Rockefeller and Standard Oil in 1879”
(2) lawyers as innovators - substance
9. emerging areas - 3D Printing, Driverless Cars, Augmented Reality,
Data Breach, Crypto/Blockchain, Future of Work,
Big Data+Privacy, etc.
Drones, Internet of Things, CyberSecurity,
(2) lawyers as innovators - substance
95. R e p o r t e d s a l e
price between $35
million and $40
million.
Final Number was
likely between
$80 - $100 million
A n u m b e r o f
venture capitalists
have invested in
t h e c o m p a n y ,
including Silicon
Valley’s Sequoia
C a p i t a l w h i c h
invested $7 million
in 2007 ....
103. the path of legal(tech)
has in part followed
developments
in artificial intelligence
104. data driven AI rules based AI
Competing Orientations in
Artificial Intelligence
105. expert
systems
Computational Law
Data Driven Rules Based
prediction
models
and
methods
network
analytic
methods
natural
language
processing
self
executing
law
visual
law
computable
codes
106. we see a decent amount of
rules based AI
in legal industry
107. that is actually pretty consistent
with path of A.I. in general
108. lots of issues
with expert systems
and/or
rules based A.I.
(without data or an evolutionary dynamic)
109. rules based A.I. data driven A.I.
1980’s, 1990’s, Early 2000’s
>
110. rules based A.I. data driven A.I.
1980’s, 1990’s, Early 2000’s
rules based A.I. data driven A.I.
2005 - Present
<
>
111. rules based A.I. data driven A.I.
1980’s, 1990’s, Early 2000’s
rules based A.I. data driven A.I.
2005 - Present
<
>
as usual law lags other sectors of the economy
134. Quantitative Legal Prediction
- or -
How I Learned to Stop Worrying and Start
Preparing for the Data Driven Future of the
Legal Services Industry
Daniel Martin Katz
Assistant Professor of Law
Michigan State University
2013
150. “The software
identifies standard
and terms in
contracts, and its
benchmarking
tools show
lawyers how their
current document
compares to the
standard.”
155. General Counsels as Legal
Procurement Specialists
TyMetrix -
Using $50 billion+ in Legal
Spend Data to Help GC’s
Look for Arbitrage
Opportunities, Value
Propositions in Hiring Law
Firms
Legal Procurement
(High End of Market)
182. lots of investment decisions in law
are just a version of this basic idea
law = finance
183. except its is implicit underwriting
with no real underwriting standards
law != finance
(but it should)
184. we expand on this theme in this presentation
http://computationallegalstudies.com/2015/10/fin-legal-tech-laws-future-from-finances-past-katz-bommartio/
196. near real time monitoring of
version 2.0
a large volume of
corporate communications
employee behavior
etc.
197. Behavior Change will change
But Behavior Change will lag
(i.e. rogue action will be done offline)
(i.e. folks will craft incriminating communications
at least for a while)
Corp Security Starts to
mirror today’s NSA
198. thus, discovery (in part)
becomes compliance and some
(only some) litigation is avoided
legal standards will still shift
real time monitoring will generate
lots of false positives
203. play “whack-a-mole”, reacting to
problems by creating fear and
friction within organizations and
the impression that there is a legal
disaster around every corner.
Mediocre Lawyers
204. can help clients shape
(perhaps distort)
external perception of risk.
Merely Clever Lawyers
205. design systems that
balance risk and improve
transparency, helping clients
correctly price risk internally
Great Lawyers
213. “The living will is effectively a
roadmap and simulation
of the largest possible series of
transactions in a bank’s lifetime,
the type of analytical exercise that is
common in electronic systems design
or software testing,
but unprecedented in law.”
214. Ideal RRP is a
‘War Game’ whereby a
SIFI demonstrates it is
robust to failure of
various counterparties
215. but requires review and
understanding of the set
of agreements across all
business lines (p&l’s)
220. horizontal integration
of legal work product in the
broader corporate technology
ecosystem represents a source
of immediate value creation
221. “Watson [and related machine
learning technologies] will catalyze
b e t t e r o r g a n i z a t i o n o f l e g a l
information and legal data, forcing
organizations to better manage their
current data and delivering substantial
re t u r n s f ro m t h i s i n f o r m a t i o n
management step alone....”
222. for example -
contracts should be born
(or processed) as computational
to point straight into finance/acct
and other relevant IT systems
stored
legal
work
product
245. recently met with the general
counsel of a large publicly traded
company who has reduced the
legal expenditures of the company
by nearly 50% using the lean
methodology over past decade