MatterSuite

JULY 4, 2023

Ultimately enabling them to make more informed decisions and provide better counsel to their clients. Contract Analysis and Due Diligence: AI technologies, such as natural language processing (NLP), have made significant strides in automating contract analysis and due diligence processes.

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MatterSuite

AUGUST 28, 2023

This accelerates legal teams’ efficiency and prevents crucial details from being lost in the information overload. Analyzing past cases and judge behavior allows legal teams to make informed decisions on litigation, settlement, or alternative dispute resolution.

Due diligence 52

Due diligence Machine learning Analytics Dispute resolution 52

3 Geeks and a Law Blog

JULY 11, 2023

Ellington realized the technology could provide secure access to sensitive information from anywhere. Leib notes SessionGuardian’s solution addresses risks beyond eDiscovery and source code review, including data breach response, M&A due diligence, and outsourced call centers.

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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. This helps lawyers to assess the strength of their cases and make informed decisions.

Legal tech 52

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Lawmatics

JANUARY 23, 2024

Advanced algorithms can quickly analyze vast legal information databases, statutes, and case law to provide relevant and up-to-date information. Predictive analytics: AI can predict case outcomes based on historical data to help lawyers and legal professionals make more informed decisions about case strategy and settlement options.

Legal AI 59

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Legal Tech Innovation Wales

DECEMBER 1, 2022

With an ever-growing pile of cases and long hours, who would have the time to peruse the latest court decisions or comb through documents for due diligence purposes? Even though machine learning is making strides in understanding natural language, it is far from interpreting the law accurately.

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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 generative AI tools access and process sensitive client information, there’s a potential risk to confidentiality. What happens if an AI tool makes an error?

Lawyer 85

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Legal Tech Blog

DECEMBER 8, 2022

Good data analysis allows companies to make informed decisions and create reality-based plans. With each rise in the amount of information an organisation acquires, the more expensive and difficult it is to store and manage it safely, heightening administrative burdens and costs. Typically, more data leads to more risk.

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e-discovery Machine learning Compliance Due diligence 52

CaseFox

JULY 25, 2023

Advanced data analytics tools enable lawyers to extract valuable insights from large volumes of information. This helps them build stronger arguments and make well-informed decisions for their clients. Cloud Computing and Collaboration: Cloud computing has transformed the way legal professionals store, access, and share information.

e-discovery 52

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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. Enables clients to access information and have real-time insights into their cases. Is this information accurate?”

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Machine learning Law firm Due diligence e-discovery 52

MatterSuite

JUNE 26, 2024

Generative AI, in contrast, learns patterns and then uses the information to develop new data, unlike the conventional AI approaches that involve sorting or analyzing information. Due to this capability, it has become a powerful tool for developing new concepts, layouts, and approaches in numerous fields.

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e-discovery Legal research Due diligence Machine learning 52

Attorney at Work

JUNE 22, 2021

Key among those resources — whether underestimated or missing from small firms’ plans — is information technology and the staff to support it. Further, the protection afforded by having knowledgeable legal technology experts helping you manage and protect your clients’ information can be priceless. When You Outgrow Your Tech Guru.

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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

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Debevoise Data Blog

JANUARY 12, 2021

Regulators in the United States and abroad are showing increasing interest in pursuing enforcement actions against companies that deploy artificial intelligence, machine learning, or algorithmic-based applications (“AI”) in a way that the regulators perceive as harmful to the public.

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Lawmatics

AUGUST 8, 2023

She suggests that legal professionals have an ethical duty to learn about and make informed decisions about these technologies, mirroring a historical pattern of initial resistance followed by eventual acceptance in the legal field. Ensure it is empathetic, informative, and inspires action.

Client Intake 52

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MatterSuite

JANUARY 24, 2024

Legal Implications Maintaining client confidentiality and safeguarding sensitive legal information is paramount in the legal profession. Assessing Capabilities and Infrastructure Conduct a thorough due diligence process to assess the capabilities and infrastructure of the LPO provider.

Law firm 52

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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”).

Compliance 52

Compliance Due diligence Machine learning Data protection 52

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 generative AI tools access and process sensitive client information, there’s a potential risk to confidentiality. What happens if an AI tool makes an error?

Lawyer 52

Lawyer Due diligence Client Intake Mediator 52

OpenText

NOVEMBER 26, 2024

OpenText eDiscovery (Axcelerate) is a flexible, powerful, end-to-end eDiscovery and investigations platform that helps legal teams get to facts that matter sooner and inform case strategy. OpenText eDiscovery CE 24.4: Exciting new features and enhancements Were thrilled to announce the latest updates in OpenText eDiscovery CE 24.4,

e-filing 59

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Legal Tech Monitor

JULY 11, 2023

Ellington realized the technology could provide secure access to sensitive information from anywhere. Leib notes SessionGuardian’s solution addresses risks beyond eDiscovery and source code review, including data breach response, M&A due diligence, and outsourced call centers.

Law firm 52

Law firm Time-tracking Due diligence Attorney 52

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. Oliver Bethell 17:13 Innovation by press release, I’ve called it.

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OpenText

JANUARY 31, 2024

An intuitive TAR interface and workflows reduce learning curves so your team can uncover the most relevant evidence without delay, and visualization tools allow project managers to easily track the progress of review and accurately estimate time to completion. Axcelerate CE 21.2 Axcelerate CE 21.2

Analytics 52

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Legal Tech Monitor

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. Oliver Bethell 17:13 Innovation by press release, I’ve called it.

Legal AI 52

Legal AI Judge Time-tracking Lawyer 52

3 Geeks and a Law Blog

JANUARY 15, 2024

And so you know, we shouldn’t be running kind of headlong into some of this new technology without, you know, doing our due diligence. So that the, the models are trained on synthetic data, but you could pass it through a decoder, and the information that you’re getting back is actually real data that you have.

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Debevoise Data Blog

NOVEMBER 18, 2024

Sensitive Inputs : LCs should have controls to assess and mitigate the risks of sensitive confidential information, such as personal data, being input by users or fed into AI LMs. Client Data : LCs should ensure that controls in relation to confidential client and business information remain effective throughout the model lifecycle.

Intellectual Property 52

Intellectual Property Due diligence Compliance Machine learning 52

Ikigai Law

MARCH 13, 2023

Spotlight – IT Ministry gets real about fakes In last month’s edition , we covered the IT Ministry’s proposal to moderate ‘false’ or ‘fake’ information online by amending the 2021 Intermediary Rules. The term itself is derived from ‘deep learning’, which is a type of artificial intelligence.

Due diligence 52

Due diligence Machine learning Compliance Law 52

Legal Tech Monitor

JANUARY 15, 2024

And so you know, we shouldn’t be running kind of headlong into some of this new technology without, you know, doing our due diligence. So that the, the models are trained on synthetic data, but you could pass it through a decoder, and the information that you’re getting back is actually real data that you have.

Legal tech 52

Legal tech Legal tech Hearing Time-tracking 52

Debevoise Data Blog

NOVEMBER 10, 2021

As financial institutions increasingly deploy artificial intelligence (“AI”), including machine learning and automated decision-making technologies, across their business lines, U.S. federal regulators have started to scrutinize the consumer protection implications of these technologies. Focus on Proxies for Protected Classes.

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