Debevoise Data Blog

OCTOBER 20, 2024

For covered entities deploying AI, relevant personnel should also be trained on : how to secure and defend AI systems from cybersecurity attacks; how to design and develop AI systems securely; and how to draft queries to avoid disclosing NPI (as applicable).

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Intellectual Property Due diligence Machine learning Defendant 52

Law Technology Today

SEPTEMBER 12, 2023

All three LIT SUITE apps are used extensively by legal professionals ranging from solo practitioners to Am Law 100 firms, by large corporations and insurance carriers, and by prosecutors, defenders, the United States Department of Justice, and other government agencies.

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Lineal Services

MARCH 11, 2024

Enhanced Search Capabilities : Leveraging AI and machine learning, chat-specific eDiscovery tools offer powerful search functionalities, enabling legal teams to pinpoint relevant data with precision and speed. Courts are ruling that chat data is mandatory in productions taking for example Benebone v. Pet Qwerks, et al.

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Compliance Machine learning Analytics Defendant 88

OpenText

SEPTEMBER 16, 2024

Over the past decade, to keep pace with digital transformation, legal leaders have embraced automation and machine learning to optimize operations and improve business outcomes. They can let the machine take a first cut at issues and then apply legal reasoning and refinement to drive case or investigative strategy.

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Failure-to-appear Machine learning Legal tech Legal tech 69

Colin S. Levy

MARCH 7, 2023

Then it responded to the arguments by distinguishing the plaintiff’s cases on behalf of the defendant and citing cases as counterexamples. [As The students can help firms understand how to pre-process textual data, apply machine learning, and evaluate the resulting ML models.

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Analytics Machine learning Attorney Defendant 52

The North Carolina Journey of Law and Technology

FEBRUARY 19, 2024

Instead of funding individual suits based a case’s merits, litigation funders have trended towards funding portfolios of cases based on factors such as common defendants or practice area. To Susman, an industry expert with over 40 years of experience, the answer is “I don’t think so.”

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Litigator Litigation Machine learning Court 52

MatterSuite

NOVEMBER 6, 2023

Legal disputes over billing issues can escalate into costly legal battles, with law firms having to defend their billing practices in court. Machine Learning and AI: Advanced technologies can analyze historical billing data to identify patterns of double billing, providing early detection capabilities.

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MatterSuite

NOVEMBER 6, 2023

Legal disputes over billing issues can escalate into costly legal battles, with law firms having to defend their billing practices in court. Machine Learning and AI: Advanced technologies can analyze historical billing data to identify patterns of double billing, providing early detection capabilities.

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Billing software Time-tracking Software Machine learning 52

Percipient

JUNE 23, 2022

That is, how the use of AI can be defended if its use is challenged by a judge or opposing party. This question is not surprising given the efficiencies and cost savings associated with AI. Typically, these questions are followed by inquiries into how the AI tools work and their defensibility.

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Dennis Kennedy

DECEMBER 14, 2023

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. If AI assists in a legal decision that’s later challenged, how can I defend its use? reshape practices, making them more efficient and perhaps even more equitable.

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Lawyer Due diligence Client Intake Mediator 85

3 Geeks and a Law Blog

JULY 11, 2023

However, if reasonable, it’s based on a reasonableness standard based on the information security practices, so yes, there’s a cost to defend that. So I think it’s going to be in cyber privacy, in machine learning everything. But generally, hopefully, you know, the firm will come out on the right side. So AI is a hot topic.

Law firm 189

Law firm Time-tracking Due diligence Attorney 189

Above the Law - Technology

DECEMBER 4, 2023

Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Finally, we plan to build integrations with e-discovery and practice management products.

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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 Outside funding: Less than $1M.

e-discovery 25

e-discovery Time-tracking Mediator Attorney 25

Legal Tech Monitor

DECEMBER 14, 2023

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. If AI assists in a legal decision that’s later challenged, how can I defend its use? reshape practices, making them more efficient and perhaps even more equitable.

Lawyer 52

Lawyer Due diligence Client Intake Mediator 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 Outside funding: Less than $1M.

e-discovery 52

e-discovery Time-tracking Mediator Attorney 52

Legal Tech Monitor

JULY 11, 2023

However, if reasonable, it’s based on a reasonableness standard based on the information security practices, so yes, there’s a cost to defend that. So I think it’s going to be in cyber privacy, in machine learning everything. But generally, hopefully, you know, the firm will come out on the right side. So AI is a hot topic.

Law firm 52

Law firm Time-tracking Due diligence Attorney 52

Eric Goldman

FEBRUARY 7, 2024

It said 230 was not available to Letgo because, per Accusearch , “Plaintiffs have sufficiently pleaded, for a motion under Rule 12(b)(6), that Defendants contributed in part to the allegedly offending ‘verified’ representation.” That was an obviously problematic conclusion.

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Legal Tech Monitor

DECEMBER 4, 2023

Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Finally, we plan to build integrations with e-discovery and practice management products.

Litigator 52

Litigator Litigation Mediator Law firm 52

3 Geeks and a Law Blog

OCTOBER 30, 2023

Because if it weren’t, if it were, say 90% with a machine learning model, you wouldn’t trust this number. This is when we acquired judicata, we acquired a tiger already who was the CEO of judicata came over. And his precision rates on what you see right here is 99.6%. Precise, humans are about 96%. This is 99.6.

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Judge Litigation Litigator Hearing 130

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. Spends rest of his opening time on this… Richard did a PhD on AI in the 1980s. Built an advisory system in the 1980s – a huge decision tree.

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Legal tech Legal tech Law firm Lawyer 130

Legal Tech Monitor

OCTOBER 30, 2023

Because if it weren’t, if it were, say 90% with a machine learning model, you wouldn’t trust this number. This is when we acquired judicata, we acquired a tiger already who was the CEO of judicata came over. And his precision rates on what you see right here is 99.6%. Precise, humans are about 96%. This is 99.6.

Judge 52

Judge Litigator Litigation Hearing 52

Inside Privacy

APRIL 11, 2023

The Strategy is built on five pillars: (i) defend critical infrastructure; (ii) disrupt and dismantle threat actors; (iii) shape market forces to drive security and resilience; (iv) invest in a resilient future; and (v) forge international partnerships to pursue shared goals. For example, in Massachusetts S.

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Debevoise Data Blog

OCTOBER 26, 2021

Preparing to defend class actions. Assess Risks Posed by Artificial Intelligence Systems : Many of the technologies that leverage biometric identifiers rely on AI or machine learning (“ML”) technologies to process biometric identifiers in real time and on a large scale.

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Eric Goldman

NOVEMBER 19, 2024

Facebook defended on Section 230. TikTok ruling as the end of Section 230 because plaintiffs can always claim that they are suing based on the defendant’s “expressive activities.” As a result of these ads, allegedly “Governor Huckabee is now wrongly associated with the CBD industry.” Third-party content.

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Court Intellectual Property Machine learning Defendant 97