MatterSuite

JULY 4, 2023

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. This can save lawyers substantial time and effort in conducting legal research and due diligence.

Due diligence 52

Due diligence Machine learning e-discovery Legal research 52

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. AI helps automate and accelerate the e-discovery process by quickly sorting through large datasets.

Legal AI 59

Legal AI Legal Secretary e-discovery Paralegal 59

CaseFox

JULY 25, 2023

E-Discovery and Digital Forensics: Electronic discovery (e-discovery) has become a crucial aspect of modern litigation. Advanced e-discovery tools and software help lawyers sift through this data, identifying relevant evidence, and streamlining the discovery process.

e-discovery 52

e-discovery e-filing Lawyer Intellectual Property 52

LawSites

MARCH 17, 2022

Reveal , a global provider of e-discovery technology, announced the release of Reveal 11, which it said is a major enhancement to its AI-powered on-premise and SaaS platform, which can be used to support litigation, investigations, compliance, antitrust, data privacy and other matters.

Court 52

Court e-discovery Due diligence Compliance 52

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. In the case of e-discovery , for example, artificial intelligence is already being leveraged to great effect.

e-discovery 52

e-discovery Machine learning Compliance Due diligence 52

Lawmatics

NOVEMBER 7, 2023

E-discovery. Due diligence. Regulatory compliance. AI-generated email campaigns to nurture and follow up with prospects are necessary for growing law firms. AI supports the review of large volumes of electronically stored information (ESI) such as documents, emails, social media content, and other digital data.

Client Intake 59

Client Intake Due diligence Legal advice e-discovery 59

MatterSuite

JUNE 26, 2024

This capability is beneficial in the due diligence stage, legal discovery , and compliance reviews, where tons of data require proper and swift analysis. Such goals might be cutting the time spent on document review in half, enhancing the accuracy of the contracts’ analysis, or enhancing the monitoring of compliance.

e-discovery 52

e-discovery Legal research Due diligence Machine learning 52

OpenText

NOVEMBER 26, 2024

designed to enhance your e-discovery workflows with powerful new features and improvements. Explore these new features today and experience the future of e-discovery! Aviator Review also helps to control the cost of e-discovery projects by providing users with a cost estimate for each selected data set before they run it.

e-filing 59

e-filing Analytics Time-tracking e-discovery 59

Lawmatics

AUGUST 8, 2023

This ground-breaking fusion of natural language processing and machine learning aids firms with contract analysis, due diligence, and regulatory compliance. Blue J L&E reconsiders legal research and analysis, using AI to predict case outcomes and probe complex legal issues—analyzing factors and outcomes, not merely keywords.

Client Intake 52

Client Intake Legal research Machine learning Court 52

Clio

MARCH 14, 2024

Automation and artificial intelligence in the legal sector AI is already used for contract review and due diligence, such as identifying inconsistencies and potential risks in a contract. Regulatory changes and compliance requirements The legal industry tends to be traditional, holding onto established processes and procedures.

Machine learning 52

Machine learning Law firm Due diligence e-discovery 52