Simple Legal

APRIL 19, 2023

Through machine learning, the AI develops an understanding of what’s normal in your data sets and what isn’t. They also definitively show the value of legal ops. Machine learning is also key for proactive risk management. Legal AI gives you a highly efficient partner in the analysis process.

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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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Colin S. Levy

APRIL 30, 2024

The platform itself was a marvel, a testament to the incredible power of artificial intelligence and machine learning to transform the way we approach the law. This fundamentally altered their understanding of mathematics, indicating that there are inherent limits to what can be definitively proven.

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Eric Goldman

AUGUST 21, 2023

Moreover, the statement is definite enough for the Court to ascertain YouTube’s obligation under the contract (it must avoid identity-based differential treatment in its contentmoderation) and to determine whether it has performed or breached that obligation. In machine-learning years, four years is an eternity.

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Above the Law - Technology

OCTOBER 6, 2023

Explore the evolution, mechanics, and practical applications of artificial intelligence with a focus on optimizing legal recruiting through haistack.ai. The post How To Distinguish Hype Versus Reality Around Artificial Intelligence appeared first on Above the Law.

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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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Legal Tech Blog

DECEMBER 8, 2022

It needs to be not just accessible in adequate volumes, but highly reliable so it can accurately inform machine learning models. By definition, data minimisation principles imply that organisations obtain the minimum amount of data required to fulfil a specific purpose. Data quality is fundamental to this.

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3 Geeks and a Law Blog

APRIL 13, 2023

The panelists included, Danielle Benecke, who is the founder and Global Head of machine learning at Baker McKenzie, so large law firms are hiring people to lead up machine learning within our law firms. So there was definitely a lot of interest in it. Aaron Crews as SVP of analytics and AI at UnitedLex.

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The North Carolina Journey of Law and Technology

MARCH 9, 2023

In store virtual fitting rooms often operate in the form of “ smart mirrors,” that use augmented reality and machine learning (ML) to overlay items over the image of the customer. In this case, Dior alleged that use of the VTOT to select a pair of sunglasses falls within this exception as eyewear protects the eyes.

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MatterSuite

JANUARY 24, 2024

This comprehensive guide aims to shed light on the intricacies of LPO, exploring its definition, the remarkable growth it has witnessed, and its paramount importance in reshaping the traditional legal framework. One such paradigm shift that has gained significant momentum in recent years is Legal Process Outsourcing (LPO).

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Debevoise Data Blog

SEPTEMBER 26, 2022

The Proposed Rules appear to narrow this definition in two ways. This definition seems to apply only to sophisticated models, and may exclude simpler tools that only conduct a linear analysis of inputs to reach a defined output. Second, the Proposed Rules may limit the Law’s application to complex models.

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3 Geeks and a Law Blog

OCTOBER 9, 2023

Yeah, Paulina Grnarova 22:41 I was gonna say, We’ve definitely seen some some great examples of people playing around with the models, which helps them kind of understand the limitations of the models and the things that you can do with the models. Is it in AI or machine learning or both that? Very cool to see. I believe it?

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3 Geeks and a Law Blog

FEBRUARY 14, 2023

This protects the researcher from the AI “creating” the answer from all the non-relevant information it has collected in its large language model of machine learning. They do AI machine learning proofs of concepts for governments and large companies and so on. But I think we’re definitely and you were right.

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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. Mark on Digital Transformation for 10 Minutes “Digital transformation” is often uttered but has not definition in the legal market.

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3 Geeks and a Law Blog

JULY 11, 2023

So I definitely think data. And I’m not a lawyer, but I would think that that would help limit your liability in these types of cases, or Oren Leib 29:44 I am a lawyer, but I would definitely defer to Trisha on this one. So I think it’s going to be in cyber privacy, in machine learning everything. So AI is a hot topic.

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Dennis Kennedy

DECEMBER 14, 2023

From understanding the basic definitions of AI and its integration in the legal sector to diving deep into the duty of technology competence, this FAQ addresses many key issues. It is based on advanced machine learning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning.

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3 Geeks and a Law Blog

MARCH 9, 2023

And as we see improvements in algorithms, machine learning algorithms, the cost of predicting legal outcomes is going to essentially vanish, it’s going to become very clear what would happen in court with respect to a particular situation in terms of the legal outcome. Greg Lambert 54:23 Yeah, we’ll definitely definitely link that out.

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3 Geeks and a Law Blog

JULY 25, 2023

And, you know, are you seeing that, that there’s some that kind of have some definite concrete use cases? Tony Thai 19:07 I think could be first mover advantage is useful for learning about how to build guardrails and the training and the moderation piece of it. And it tells you definitively? Never seen it?

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Debevoise Data Blog

AUGUST 14, 2023

As discussed further below, the definition for broker-dealers is limited to retail investors while the investment adviser rule has no such limitation. This definition is exceptionally broad. The proposing release [3] (the “Release”) confirms that the SEC intended such a broad scope.

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Legal Tech Monitor

APRIL 13, 2023

The panelists included, Danielle Benecke, who is the founder and Global Head of machine learning at Baker McKenzie, so large law firms are hiring people to lead up machine learning within our law firms. So there was definitely a lot of interest in it. Aaron Crews as SVP of analytics and AI at UnitedLex.

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Machine learning Law firm Lawyer Analytics 52

Colin S. Levy

MARCH 6, 2023

As the extraction platform was moving from rules-based heuristics to machine learning algorithms, I took an interest in machine learning. As with any startup role, I got thrown into the deep end and had to learn a lot on the job. To those wanting to learn more about AI, where do you suggest starting?

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LawSites

JUNE 1, 2021

Thomson Reuters is getting into the game of AI-powered contract analysis with the launch today of HighQ Contract Analysis , a contract review tool that uses machine learning to find answers to specific legal questions.

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Legal Tech Monitor

OCTOBER 9, 2023

Yeah, Paulina Grnarova 22:41 I was gonna say, We’ve definitely seen some some great examples of people playing around with the models, which helps them kind of understand the limitations of the models and the things that you can do with the models. Is it in AI or machine learning or both that? Very cool to see. I believe it?

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Legal Tech Monitor

DECEMBER 14, 2023

From understanding the basic definitions of AI and its integration in the legal sector to diving deep into the duty of technology competence, this FAQ addresses many key issues. It is based on advanced machine learning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning.

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Debevoise Data Blog

OCTOBER 26, 2021

Companies contemplating adoption of some form of the highest-common-denominator approach should consider: Adhering to the broader definitions of biometric identifiers. This approach promises a reduced need to amend business practices, as it anticipates the likelihood that the law will grow stricter in more jurisdictions over time.

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3 Geeks and a Law Blog

JANUARY 10, 2023

So as part of their marketing strategy, definitely the board, or, you know, and definitely the executives thought through this and said, This is a good marketing tool for us going into fundraise getting our valuation nice and frothy, so that we can go and raise a lot of money very quickly.

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Legal Tech Monitor

JULY 11, 2023

So I definitely think data. And I’m not a lawyer, but I would think that that would help limit your liability in these types of cases, or Oren Leib 29:44 I am a lawyer, but I would definitely defer to Trisha on this one. So I think it’s going to be in cyber privacy, in machine learning everything. So AI is a hot topic.

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Eric Goldman

JUNE 17, 2023

— For machine learning and artificial intelligence systems to do what they do, they need training data. Training data is the initial data set that allows a machine learning system to learn to do whatever someone is trying to teach it to do.

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Legal Tech Monitor

MARCH 9, 2023

And as we see improvements in algorithms, machine learning algorithms, the cost of predicting legal outcomes is going to essentially vanish, it’s going to become very clear what would happen in court with respect to a particular situation in terms of the legal outcome. Greg Lambert 54:23 Yeah, we’ll definitely definitely link that out.

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Legal Tech Monitor

JULY 25, 2023

And, you know, are you seeing that, that there’s some that kind of have some definite concrete use cases? Tony Thai 19:07 I think could be first mover advantage is useful for learning about how to build guardrails and the training and the moderation piece of it. And it tells you definitively? Never seen it?

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Inside Privacy

APRIL 26, 2023

The Final Rule’s most significant updates from the December 2022 proposal include an expansion of the definition of AEDTs and modifications to the requirements for bias audits. Key provisions of the Final Rule are summarized below. What is an Automated Employment Decision Tool?

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Debevoise Data Blog

DECEMBER 22, 2023

The guidance applies to all types of artificial intelligence and machine learning and is divided into four key topics: (i) secure design; (ii) secure development; (iii) secure deployment; and (iv) secure operation and maintenance. UK and U.S.

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Attorney at Work

JUNE 22, 2021

The Gartner definition of managed service provider says: A managed service provider (MSP) delivers services, such as network, application, infrastructure and security, via ongoing and regular support and active administration on customers’ premises, in their MSP’s data center (hosting), or a third-party data center.

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3 Geeks and a Law Blog

AUGUST 22, 2023

And obviously, now we’re looking to expand the team more and more, I think we’ve looked into hiring, you know, ml ops people, machine learning engineers, software engineers, and it has produced already a tremendous amount of value for the firm. So you know, if you’re a legal geek, like, like I am, this is definitely a must read.

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Ikigai Law

JUNE 14, 2023

A robust data infrastructure, i.e., well populated datasets, servers and data centres, smooth data sharing mechanisms, reliable data governance, and definitive data standards build a foundation for a strong AI-enabled predictive model. [10] Availability and use of data Quality data is central to AI models’ capability.

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Debevoise Data Blog

APRIL 12, 2023

Examples of tools outside this definition include junk email filters, antivirus software, calculators, spreadsheets, databases, and other compilations of data. The Final Rules have modified the application of this definition in two ways. Many simpler AI tools may now fall within the revised definition.

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Debevoise Data Blog

JULY 13, 2022

The term “automated employment decision tools” is broadly defined as any “computational process, derived from machine learning, statistical modeling, data analytics, or artificial intelligence” that “issues a simplified output.” Given the extremely broad definition, many sophisticated hiring tools are likely to qualify.

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