Technically Legal

MAY 19, 2021

Context leverages machine learning and natural language processing from Ravel, a company LexisNexis acquired in 2017. "The fundamental tool of lawyers is language" explains Serena Wellen in this episode. Serena is a Senior Director for LexisNexis and works on the Context legal analytics platform.

Analytics 40

Analytics Machine learning Lawyer Judge 40

lawtomated

MARCH 30, 2022

This increase of 49.89% since 2017 demonstrates a rapid global growth in smartphone owners, and the World Advertising Research Centre believes that 72% of all internet users will solely use smartphones to access the internet by 2025. In 2022, according to Statista, there are 6.64

Machine learning 52

Machine learning Legal advice e-discovery Legal tech 52

LawSites

MARCH 18, 2024

And so we had to end scanning in early 2017, although eventually we were able to extend it into 2018. An Awkward Dance Then in June 2017, LexisNexis announced that it had bought Ravel. We also couldn’t keep digitizing the law forever. I’ve heard people question these compromises, as if they made the project pointless. That’s bunk.

Court 134

Court Judge Time-tracking Legal research 134

lawtomated

JULY 19, 2021

In 2017, Google introduced Transformers , which was deemed to be a significant improvement on RNN because it could process data in any order. It is a machine learning technique applying the bidirectional training of Transformer’s encoder. This meant that ELMo could not take advantage of parallel processing (i.e.

Machine learning 52

Machine learning Law firm Contract management Lawyer 52

LawSites

JANUARY 17, 2022

How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machine learning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B Founded: 1/1/2017. Immediation.

e-discovery 25

e-discovery Time-tracking Mediator Attorney 25

3 Geeks and a Law Blog

JULY 18, 2023

Because as we go into the world of AI, machines learn like humans do, and they’re designed, and they bring in experiences and knowledge from the creators from the underlying data sets. And at the time, the that role was about help the machines learn how to talk to humans.

Law 130

Law Law Machine learning Hearing 130

Debevoise Data Blog

OCTOBER 14, 2021

The Report is the culmination of IOSCO’s multiyear effort engaging with market intermediaries and asset managers to identify real-life artificial intelligence (“AI) and machine learning (“ML”) use cases and their associated risks, and incorporates the feedback IOSCO received on its June 2020 Consultation Report.

Machine learning 52

Machine learning Compliance Due diligence Law 52

Above the Law - Technology

DECEMBER 4, 2023

Demo video: [link] Founded: 9/1/2017, Birmingham, MI Target customer: Law firms (all sizes), corporate legal departments, and eDiscovery service providers (our current paying customers are law firms). Who are your competitors? No one is providing exactly what Altumatim offers. and Beagle.

Mediator 325

Mediator Litigator Litigation Law firm 325

Legal Tech Monitor

MARCH 18, 2024

And so we had to end scanning in early 2017, although eventually we were able to extend it into 2018. An Awkward Dance Then in June 2017, LexisNexis announced that it had bought Ravel. We also couldn’t keep digitizing the law forever. I’ve heard people question these compromises, as if they made the project pointless. That’s bunk.

Court 52

Court Judge Time-tracking Legal research 52

LawSites

JANUARY 17, 2022

How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machine learning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B Founded: 1/1/2017. Immediation.

e-discovery 52

e-discovery Time-tracking Mediator Attorney 52

Legal Tech Monitor

JULY 18, 2023

Because as we go into the world of AI, machines learn like humans do, and they’re designed, and they bring in experiences and knowledge from the creators from the underlying data sets. And at the time, the that role was about help the machines learn how to talk to humans.

Law 52

Law Law Machine learning Hearing 52

3 Geeks and a Law Blog

JULY 25, 2023

But really, you know, his original baby since what 2018 2017. But by the very nature of machine learning, like you need massive data sets, train these models. And so I think that, that shifts a lot of people’s thinking into, okay, maybe I can’t use machine learning here. And Tony can go into this in more detail.

Machine learning 246

Machine learning Legal tech Legal tech Hearing 246

Legal Tech Monitor

DECEMBER 4, 2023

Demo video: [link] Founded: 9/1/2017, Birmingham, MI Target customer: Law firms (all sizes), corporate legal departments, and eDiscovery service providers (our current paying customers are law firms). Who are your competitors? No one is providing exactly what Altumatim offers. and Beagle.

Litigator 52

Litigator Litigation Mediator Law firm 52

3 Geeks and a Law Blog

FEBRUARY 22, 2023

So you’re probably familiar with that yourself when you’re using this machine learning. So one of these in these in these and they would see that these will actually pop up in one of the final training cycles. And then you get the feeling that’s you can control things. And that as you can explain, it’s and it’s transparent.

Due diligence 130

Due diligence Law firm Criminal defense lawyer Time-tracking 130

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? In February 2017, Everalbum introduced a facial recognition feature called “Friends” that allowed users to “tag” people by name in their photos.

Machine learning 45

Machine learning Court Data protection Law 45

Legal Tech Monitor

JULY 25, 2023

But really, you know, his original baby since what 2018 2017. But by the very nature of machine learning, like you need massive data sets, train these models. And so I think that, that shifts a lot of people’s thinking into, okay, maybe I can’t use machine learning here. And Tony can go into this in more detail.

Machine learning 52

Machine learning Legal tech Legal tech Hearing 52

Richmond Journal of Law and Technology

JULY 24, 2023

AI-assisted discrimination “Machine learning is like money laundering for bias.” – Maciej Cegłowski [7] Employers can use AI to assist with a host of tasks. In 2017, the Harvard Business Review published an article claiming that “[t]he most important general-purpose technology of our era is artificial intelligence.” [47]

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Machine learning e-filing Litigator Litigation 52

Debevoise Data Blog

NOVEMBER 2, 2022

French CNIL updates its guidelines on password settings What happened : In an effort to assist organisations in guaranteeing minimum security levels in response to significant volumes of password-related breaches, the CNIL updated its 2017 guidelines on password settings.

Data protection 52

Data protection Compliance Machine learning Court 52

Ikigai Law

MARCH 13, 2023

The term itself is derived from ‘deep learning’, which is a type of artificial intelligence. More specifically, this manipulated media is created through a technique called ‘generative adversarial networks’ ( GANs ), in which machine learning algorithms learn to develop images and videos of persons by processing a database of training data.

Due diligence 52

Due diligence Machine learning Compliance Law 52

Debevoise Data Blog

FEBRUARY 21, 2025

The CETU will utilize the staffs substantial fintech and cyber-related experience to combat misconduct as it relates to securities transactions in seven priority areas: Fraud committed using emerging technologies, such as artificial intelligence and machine learning, which weve discussed here.

Machine learning 59

Machine learning Compliance Attorney 59