MatterSuite

JUNE 5, 2023

Communicate new policies to all employees and ensure compliance. Technology-Assisted Review (TAR): TAR, also known as predictive coding or machine learning, utilizes advanced algorithms to assist in the document review process. Engage in continuous learning and stay updated with industry trends.

Lawyer 52

Lawyer Machine learning Compliance Analytics 52

MatterSuite

AUGUST 28, 2023

AI algorithms swiftly analyze extensive legal data, aided by NLP for document comprehension, case law identification, and contract insight extraction. Enhanced Research and Case Law Analysis Legal research is a time-consuming task that often involves sifting through countless documents and sources.

Due diligence 52

Due diligence Machine learning Analytics Dispute resolution 52

MatterSuite

JULY 4, 2023

AI-powered algorithms can sift through vast volumes of legal documents, case law, and regulations, delivering faster and more accurate results. By leveraging machine learning techniques, AI systems can identify patterns and correlations that humans might miss. How will AI Impact Lawyers’ Practice in the Future?

Due diligence 52

Due diligence Machine learning e-discovery Legal research 52

AXDRAFT

FEBRUARY 7, 2023

Document review : Instead of spending hours reviewing a large contract, lawyers can receive information about risky clauses, possible ambiguities, or non-compliance with company needs or regulations of the relevant country. Then they can use it to quickly and accurately identify relevant cases and legal precedents.

Legal advice 97

Legal advice Analytics Machine learning Legal tech 97

LawSites

JANUARY 23, 2023

CiteRight Elevator Pitch: CiteRight helps litigation teams save, organize, share, cite, and assemble case law — so they can draft faster and spend more time on what matters. CiteRight is the only tool that allows lawyers to save case law and automatically cite it inside Microsoft Word. What makes you unique or innovative?

Time-tracking 98

Time-tracking Litigator Litigation e-discovery 98

Lawmatics

AUGUST 8, 2023

Through machine learning algorithms, AI can detect patterns and correlations in substantial datasets that may elude human analysis, offering critical insights. These insights prove invaluable for predicting case outcomes, assessing risks, and formulating potent legal strategies.

Client Intake 52

Client Intake Legal research Machine learning Court 52

Clio

MARCH 14, 2024

The idea is to apply concepts, processes, and technologies that improve the legal experience for clients and the process of providing services for law firms. Benefits and challenges of legal innovation A key point about legal innovation is that it provides benefits for both clients and law firms.

Machine learning 52

Machine learning Law firm Due diligence e-discovery 52

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

Debevoise Data Blog

DECEMBER 22, 2023

This guidance, which draws on the GDPR as well as national and EU case law, contains relevant advice for using AI in the healthcare space more broadly. The intersection between GDPR compliance and AI has been the subject of detailed analysis in a previous blog post. UK and U.S. UK and U.S.

Data protection 52

Data protection Time-tracking Compliance Machine learning 52

CaseFox

JULY 25, 2023

They also give lawyers the statutes, case law, and legal commentary about the cases. Through machine learning algorithms, e-discovery platforms can quickly identify patterns and connections in data. This assists legal teams in building stronger cases.

e-discovery 52

e-discovery e-filing Lawyer Intellectual Property 52

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.

Litigator 325

Litigator Litigation Mediator Law firm 325

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