LawSites

JUNE 1, 2022

Marking its second acquisition this year, the cloud practice management company SurePoint Technologies has acquired Coyote Analytics , a company that provides practice management, financial management and business intelligence software for law firms. The future is analytical insight driving embedded prediction.”

Analytics 86

Analytics Practice management Machine learning Software 86

Lineal Services

AUGUST 11, 2023

Learn how to improve legal outcomes as you tackle the challenges of acquiring electronic evidence and understand the disruptive effects of AI and machine learning on eDiscovery. These include text analytics, predictive coding, data mining, and computer-assisted review.

Law firm 80

Law firm Machine learning Analytics Law 80

Lineal Services

APRIL 24, 2024

Data Analysis: Leveraging Advanced Techniques The analysis phase involves applying statistical methods and machine learning algorithms to identify patterns or trends that inform case strategies. She is admitted to practice in New York and New Jersey.

Machine learning 98

Machine learning Time-tracking Analytics Practice management 98

LawNext podcast

FEBRUARY 18, 2020

The growing use of legal analytics is rapidly transforming the practice of law. Within law firms, analytics drive litigation strategy, business development efforts, and hiring decisions. Within corporate legal departments, analytics drive outside counsel hiring and internal business operations.

Analytics 40

Analytics e-records Machine learning Litigator 40

Technically Legal

MAY 19, 2021

Serena is a Senior Director for LexisNexis and works on the Context legal analytics platform. 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.

Analytics 40

Analytics Machine learning Lawyer Judge 40

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. It does the work more quickly and accurately than traditional research methods.

Legal tech 52

Legal tech Legal tech e-discovery Machine learning 52

Colin S. Levy

MAY 30, 2023

Peter Geovanes is a results-driven data, analytics & AI/ML executive (JD/MBA) who provides a unique background that combines data science, artificial intelligence and machine learning capabilities along with business strategy, innovation, R&D, project management and management consulting skills.

Analytics 59

Analytics Machine learning Time-tracking Legal tech 59

LawSites

JULY 12, 2021

It provides answers to specific natural-language research questions by using machine learning to mine the expertise of Practical Law’s attorney editors and deliver the most direct answer. It includes five distinct new features, each of which is intended to allow users to extract more value from Practical Law content.

Analytics 52

Analytics Law Law Machine learning 52

LawSites

MARCH 22, 2022

Evisort uses machine learning and natural language processing to power its core product, which it calls its Contract Intelligence Platform, and which integrates a contract repository, contract lifecycle management, and contract analytics. Read more about Onit on the LawNext Legal Tech Directory.

Legal tech 96

Legal tech Legal tech Machine learning Contract management 96

MatterSuite

AUGUST 28, 2023

Predictive Analytics for Better Decision-Making One of the most promising aspects of AI in the legal industry is its predictive analytics capabilities. Predictive analytics can also play a vital role in litigation risk assessment.

Due diligence 52

Due diligence Machine learning Analytics Dispute resolution 52

Legal Tech Blog

MARCH 22, 2024

The Leah platform uses Generative AI, natural language processing, machine learning and data analytics to automate and enhance various aspects of contract related work, such as including redline, data extraction, and discovery tools to address day to day projects and transactions managed by procurement and legal departments.

Machine learning 46

Machine learning Legal tech Legal tech Analytics 46

Lineal Services

NOVEMBER 15, 2023

Predictive Coding: Uses machine learning techniques to find pertinent documents based on how a smaller group of documents are coded. Text Analytics: Documents can be automatically recognized and categorized by AI-powered text analytics systems according to their content.

Machine learning 52

Machine learning Time-tracking Analytics Law firm 52

Colin S. Levy

APRIL 30, 2024

As a representative from Lex Machina, a legal analytics company, took the stage, I had no idea that the journey I was about to embark upon would lead me to the very frontiers of human knowledge and understanding. Perspectives from Analytical, Phenomenological, and Indian Traditions. Duke University Press Books, 2007. Braidotti, Rosi.

Law 116

Law Law Machine learning Analytics 116

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. She is admitted to practice in New York and New Jersey.

Compliance 88

Compliance Machine learning Analytics Defendant 88

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. Legal analytics: AI-driven legal analytics tools provide insights into trends, precedents, and the behavior of judges.

Legal AI 59

Legal AI Legal Secretary e-discovery Paralegal 59

MatterSuite

JULY 4, 2023

Predictive Analytics and Case Outcome Forecasting: AI algorithms can analyze vast amounts of historical legal data, including case outcomes and judicial decisions, to provide predictive insights. By leveraging machine learning techniques, AI systems can identify patterns and correlations that humans might miss.

Due diligence 52

Due diligence Machine learning e-discovery Legal research 52

Lineal Services

NOVEMBER 15, 2023

Predictive Coding: Uses machine learning techniques to find pertinent documents based on how a smaller group of documents are coded. Text Analytics: Documents can be automatically recognized and categorized by AI-powered text analytics systems according to their content.

Machine learning 40

Machine learning Time-tracking Analytics Law firm 40

Debevoise Data Blog

MARCH 18, 2024

Antifraud charges The SEC found that Delphia claimed in its Form ADV Part 2A, in a press release, and on its website, that it used AI and machine learning to analyze its retail clients’ spending and social media data to inform its investment advice when it actually did not use any such data in its investment process.

e-filing 52

e-filing Machine learning Compliance Analytics 52

Global LegalTech Hub

MAY 25, 2021

Artificial Intelligence in all its disciplines (Machine Learning, Deep Learning, Neural Networks, etc.) The market is feeding on quick-wins that do not require technological efforts or specialist knowledge of AI, Machine Learning and the like, and that offer significant results in terms of efficiency and new added value.

Machine learning 130

Machine learning Enabler technology Analytics Legal tech 130

Attorney at Work

JANUARY 13, 2022

In “ The Future of Law Firms (and Lawyers) in the Age of Artificial Intelligence,” Anthony Davis points to these six: eDiscovery, expertise automation, legal research, document management, contract and litigation document analytics and generation, and predictive analytics.

Law firm 141

Law firm Law Law Machine learning 141

Lawmatics

DECEMBER 27, 2023

With emerging new technologies like artificial intelligence (AI) and machine learning, many people have started considering what legal software might mean for the legal profession’s future. 8 Legal analytics Data analytics in the legal field provides insights into case outcomes, litigation trends, and legal strategy optimization.

Legal technology 52

Legal technology Legal technology Dispute resolution Machine learning 52

CloudNine

JANUARY 10, 2024

Automation and advanced analytics, including machine learning, smart filtering, and integration with predictive coding technology will continue to grow. Here are six themes we predict will be most prevalent in the year ahead.

Compliance 104

Compliance Machine learning Litigator Litigation 104

Colin S. Levy

MARCH 7, 2023

Josh Blandi is the CEO and Co-Founder of UniCourt , a SaaS offering using machine learning to disrupt the way court data is organized, accessed, and used.

Due diligence 52

Due diligence Machine learning Court Litigator 52

Lineal Services

JUNE 15, 2023

The analytics provided in these reports make it possible for the decision-makers to compare apples to apples across firms to control costs and set each matter up for success. Global Reporting The consistency provided by standardized workflows also allows for global reporting.

Machine learning 52

Machine learning Analytics Litigator Litigation 52

Lawmatics

FEBRUARY 6, 2024

Legal tech tools, such as AI and machine learning, help analyze large amounts of information and support legal professionals in decision-making. Legal analytics: Reporting and analytics tools help lawyers gain insight from legal data, enabling informed decision-making and strategic planning.

Legal tech 40

Legal tech Legal tech Billing software Document automation 40

Lineal Services

JULY 27, 2023

The service’s search and analytical skills should also be assessed. Does it include analytical features like machine learning, predictive coding, and technology-assisted review (TAR)? Does it include analytical features like machine learning, predictive coding, and technology-assisted review (TAR)?

Machine learning 52

Machine learning Analytics Electronic discovery Data protection 52

Lineal Services

JULY 27, 2023

The service’s search and analytical skills should also be assessed. Does it include analytical features like machine learning, predictive coding, and technology-assisted review (TAR)? Does it include analytical features like machine learning, predictive coding, and technology-assisted review (TAR)?

Machine learning 52

Machine learning Analytics Electronic discovery Data protection 52

LawSites

AUGUST 15, 2022

It also introduces products and features new to the Canadian market, including the first brief analysis tool specifically for Canadian lawyers and a market standards research tool with advanced analytics on markets and deals. It includes another feature that is new to the Canadian audience: Market Standards data and analytics.

Analytics 92

Analytics Legal research Machine learning Time-tracking 92

MatterSuite

JUNE 18, 2023

However, it has evolved into a multidimensional function, encompassing various areas such as technology, project management, and data analytics. By leveraging artificial intelligence, machine learning, and data analytics. Traditionally, legal operations primarily focused on administrative tasks.

Analytics 52

Analytics Time-tracking e-discovery Contract management 52

Dewey B Strategic

JANUARY 29, 2023

Does the platform leverage AI or machine learning to apply tags? Analytics: Trends and Prediction Analytics are increasingly important for both understanding user behavior and content insights. Can it disambiguate company names? Can users set up their own curated alerts?

Machine learning 52

Machine learning Analytics International law Law firm 52

Lineal Services

MARCH 26, 2024

Data Analysis: Employing statistical methods and machine learning algorithms to analyze the data and uncover patterns or trends. For example, ensuring you are capturing traditional sources like email and e-docs alongside chat and structured data outputs will make for a robust pool of data and better insights.

e-discovery 52

e-discovery Compliance Machine learning Analytics 52

Clio

DECEMBER 13, 2023

Law firms may use cloud-based hosting services for a number of key purposes, such as: Data storage and database management Facilitating remote work Hosting applications Data analytics How much does cloud hosting cost? The platform uses Google’s core infrastructure, data analytics, and machine learning.

Law firm 52

Law firm Law Law Machine learning 52

CaseFox

JULY 25, 2023

Legal Research and Data Analytics: Gone are the days of poring over endless law books and case files in dusty libraries. Advanced data analytics tools enable lawyers to extract valuable insights from large volumes of information. In this article, we will delve into the transformative impact of technology for lawyers.

e-discovery 52

e-discovery e-filing Lawyer Intellectual Property 52

MatterSuite

NOVEMBER 9, 2023

The integration of Legal Tech , including artificial intelligence (AI), machine learning, and automation, has revolutionized the way legal work is conducted. Legal tech, including artificial intelligence (AI), machine learning, and automation, is revolutionizing how legal work is conducted.

Legal tech 52

Legal tech Legal tech Law Law 52

3 Geeks and a Law Blog

APRIL 13, 2023

The panelists included, Danielle Benecke, who is the founder and Global Head of machine learning at Baker McKenzie, so large law firms are hiring people to lead up machine learning within our law firms. Aaron Crews as SVP of analytics and AI at UnitedLex. Foster Sayers general counsel from Pramata.

Machine learning 147

Machine learning Law firm Lawyer Analytics 147

TechLaw Crossroads

DECEMBER 19, 2022

There’s lots of talk about AI and machine learning and how those tools will or will not impact the practice of law. Comprehensive research using machine learning and AI is challenging without the ability to understand the context surrounding the words. That AI won’t affect how lawyers do their job one iota.

Legal AI 52

Legal AI Machine learning Legal research Lawyer 52

LawSites

AUGUST 15, 2022

.” The company launched with a leadership team of veteran e-discovery and data science professionals, helmed by CEO Mollie Nichols , a former Redgrave partner and e-discovery expert who was most recently head of advanced client data solutions at Hogan Lovells. for advanced client data solutions?at at Hogan Lovells.

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e-discovery e-filing Machine learning Time-tracking 52