Inside Privacy

NOVEMBER 20, 2023

On October 11, 2023, the French data protection authority (“CNIL”) issued a set of “how-to” sheets on artificial intelligence (“AI”) training databases. There are eight sheets in total, each covering a data protection issue AI providers should consider when designing their systems. What are the next steps?

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CloudNine

JANUARY 10, 2024

Automation and advanced analytics, including machine learning, smart filtering, and integration with predictive coding technology will continue to grow. Data Privacy Restrictions Will Increase With the growing awareness and importance of data privacy, governments and corporations will encounter more stringent regulations globally.

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MatterSuite

JUNE 12, 2023

AI and machine learning can automate mundane legal processes, allowing legal professionals to prioritize strategic and complex matters. Technological solutions can bolster security measures and protect against unauthorized access, data breaches, and cyber threats.

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MatterSuite

APRIL 7, 2023

One of the most important developments in this field is the rise of law bots, which are software programs that use natural language processing (NLP) like ChatGPT, machine learning, and other AI technologies to automate legal tasks and improve efficiency.

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Legal Tech Innovation Wales

FEBRUARY 15, 2023

The programme comes in the form of a chat bot which incorporates OpenAI’s GPT technology and is designed to assist lawyers with document drafting and legal research by analysing data and using natural language processing and machine learning to produce results.

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Inside Privacy

APRIL 24, 2023

For example, in October 2022, the Bank of England and Financial Conduct Authority (“FCA”) jointly released a Discussion Paper on Artificial Intelligence and Machine Learning considering how AI in financial services should be regulated and, in March 2023, the ICO updated its Guidance on AI and Data Protection.

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MatterSuite

OCTOBER 27, 2023

Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and Machine Learning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machine learning. These insights assist attorneys in making data-driven decisions.

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Ron Friedmann

JULY 30, 2020

We did not anticipate the coming of the web or machine learning. That has moved from programmed systems to ones that learn from massive data volumes and huge computing power. How can law firms square privacy and data protection with more data analytics? That was the first generation over 30 years ago.

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Lawmatics

JANUARY 23, 2024

Contract analysis: AI technologies, including natural language processing (NLP) and machine learning, are used to analyze and review contracts to identify key terms and potential risks and help ensure compliance.

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Martindale-Avvo

MARCH 19, 2024

Artificial intelligence (AI) is the replication of human intelligence by machines to perform work commonly done by people. AI systems use a combination of large amounts of data and a set of sophisticated algorithms that classify, analyze, and take desired actions.

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Legal IT Group

OCTOBER 23, 2023

They use machine learning and artificial intelligence algorithms to analyze large amounts of data and optimize ad placement. However, the personalized advertising ecosystem relies heavily on the personal data of users, raising questions about data protection and privacy requirements.

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Lineal Services

JULY 27, 2023

These include data protection laws that dictate how personal data must be kept, rules of civil procedure that control the discovery process, and industry-specific regulations that impose extra data management responsibilities. Investigating the service’s history of data security and privacy is also important.

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Lineal Services

JULY 27, 2023

These include data protection laws that dictate how personal data must be kept, rules of civil procedure that control the discovery process, and industry-specific regulations that impose extra data management responsibilities. Investigating the service’s history of data security and privacy is also important.

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LawSites

AUGUST 15, 2022

for advanced client data solutions?at It containerizes the tools so that it can deploy them via AWS anywhere in the world, to conform with data protection requirements. at Hogan Lovells. Redgrave’s leadership team: Lindsey Worth, Mark Noel, Mollie Nichols, Scott Culbertson and Dave Lewis.

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Clio

MARCH 14, 2024

While much discussion of law firm innovation focuses on technology, such as AI and machine learning, innovation also encompasses mindsets that encourage openness to ideas, collaboration, and addressing client needs. When evaluating solutions, focus first on robust security measures and data protection.

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Legal Tech Blog

DECEMBER 8, 2022

While these are necessary to help reduce complacency towards internal data protection compliance and ensure organisations actively work to reduce their exposure, it isn’t always easy for companies to align. Data quality is fundamental to this.

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MatterSuite

SEPTEMBER 4, 2024

Here are some emerging trends to keep an eye on: AI and Machine Learning: Courses are now being taught regarding the incorporation of AI in eDiscovery with more emphasis on predictive coding and data.

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3 Geeks and a Law Blog

JULY 11, 2023

The General Data Protection Regulation prescribes a time limit to keep certain data us regs require that to be kept for for a different period of time, certain standards regarding customer data, employee data, so they can be quite conflicting. When that happens, the level of data protection exponentially recedes.

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CaseFox

JULY 25, 2023

With the exponential growth of digital data, legal proceedings often involve vast amounts of electronically stored information (ESI). Advanced e-discovery tools and software help lawyers sift through this data, identifying relevant evidence, and streamlining the discovery process. This assists legal teams in building stronger cases.

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MatterSuite

SEPTEMBER 27, 2023

Data Security and Compliance: The legal profession demands the utmost confidentiality and data security. Microsoft 365 ensures data protection through features like Azure Information Protection, eDiscovery, and Data Loss Prevention (DLP) policies.

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MatterSuite

SEPTEMBER 27, 2023

Data Security and Compliance: The legal profession demands the utmost confidentiality and data security. Microsoft 365 ensures data protection through features like Azure Information Protection, eDiscovery, and Data Loss Prevention (DLP) policies.

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MatterSuite

JUNE 26, 2024

Luminance : Machine learning is applied to analyze legal information and define risks and peculiarities. Data Security and Privacy Aspects Since the work being done involves handling client information, data security and privacy are highly regarded. LawGeex : Manages and streamlines contract review and approval processes.

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Lawmatics

AUGUST 8, 2023

Through machine learning algorithms, AI can detect patterns and correlations in substantial datasets that may elude human analysis, offering critical insights. This ground-breaking fusion of natural language processing and machine learning aids firms with contract analysis, due diligence, and regulatory compliance.

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Debevoise Data Blog

OCTOBER 31, 2023

On 26 October 2023, the Bank of England, Prudential Regulation Authority (“PRA”) and Financial Conduct Authority (“FCA”, collectively the “UK Financial Authorities”) published FS2/23 on Artificial Intelligence and Machine Learning (the “Response Paper”).

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Debevoise Data Blog

OCTOBER 26, 2021

Further, in a case that we have covered previously involving a supermarket using video surveillance with facial recognition capabilities, the Spanish data protection authority (the “AEDP”) fined grocer Mercadona for violating numerous provisions of the EU’s General Data Protection Regulation.

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Legal Tech Monitor

JULY 11, 2023

The General Data Protection Regulation prescribes a time limit to keep certain data us regs require that to be kept for for a different period of time, certain standards regarding customer data, employee data, so they can be quite conflicting. When that happens, the level of data protection exponentially recedes.

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Dennis Kennedy

SEPTEMBER 10, 2023

He’s an expert in AI, machine learning, and software development. Currently serving as the Director for the Center for Law, Technology & Innovation at Michigan State University College of Law, he’s a passionate educator, teaching courses like AI and the Law, New Technologies and the Law, and Cybersecurity and Data Protection.

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Legal Tech Monitor

SEPTEMBER 10, 2023

He’s an expert in AI, machine learning, and software development. Currently serving as the Director for the Center for Law, Technology & Innovation at Michigan State University College of Law, he’s a passionate educator, teaching courses like AI and the Law, New Technologies and the Law, and Cybersecurity and Data Protection.

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Berkley Technology Law Journal

NOVEMBER 27, 2024

Key topics expected for review include strengthening intellectual property enforcement, balancing access and affordability for certain pharmaceuticals, adjusting data exclusivity periods, and pioneering AI regulation with common data protection standards and ethical guidelines.

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Debevoise Data Blog

JANUARY 19, 2021

In particular: in what circumstances, if any, would regulators or courts find that a flawed machine learning or AI model must be scrapped entirely? Introduction For those following emerging artificial intelligence (“AI”) regulations and enforcement closely, one issue of great interest is remedies.

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Debevoise Data Blog

MARCH 21, 2022

In announcing the settlement, Former FTC Commissioner (and current Director of the Consumer Financial Protection Bureau), Rohit Copra, stated : “First, the FTC’s proposed order requires Everalbum to forfeit the fruits of its deception. This is an important course correction.”

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Debevoise Data Blog

NOVEMBER 2, 2022

up to 45 when including the European Economic Area and the 16 German state data protection authorities). The Italian Data Protection Authority fined a data controller €20,000 for failing to reply to a DSAR addressed to a business unit that it had recently taken control of.

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