Legal Tech Monitor

SEPTEMBER 27, 2023

At its Relativity Fest user conference in Chicago today, the e-discovery company Relativity announced the forthcoming release of Relativity aiR for Review, the first of a planned series of products that will use generative artificial intelligence to help legal professionals in their work.

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Bigfork Tech

NOVEMBER 6, 2024

In this blog post, we’ll explore the role of AI in litigation, the benefits of e-discovery, and its overall impact on law firms and clients. Solutions like natural language processing (NLP) and machine learning algorithms help lawyers manage large amounts of information and complex case details efficiently.

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Technically Legal

MARCH 3, 2021

The history, current state and the impact of Artificial Intelligence on the Electronic Discovery Reference Model (EDRM) is the topic of conversation with George Socha. It is a model that outlines the stages of the Electronic Discovery process. It is a model that outlines the stages of the Electronic Discovery process.

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CaseFox

JUNE 5, 2023

Introduction In today’s digital age, electronic discovery, or eDiscovery, plays a crucial role in the legal process. The vast amount of electronically stored information (ESI) makes it essential for legal professionals to adopt effective eDiscovery strategies for navigating the complex world of litigation.

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Colin S. Levy

OCTOBER 1, 2024

These advancements enable legal teams to meet modern challenges with informed strategic advice. Knowledge and Risk Management In an age where information is king, managing legal knowledge and mitigating risk is crucial. People Operations and Strategic Planning At the heart of any successful legal team is its people.

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MatterSuite

OCTOBER 27, 2023

E-discovery solutions , a significant part of legal tech, were estimated to be a multi-billion-dollar industry. The global e-discovery market size was projected to reach $17.32 Predictive Analytics: Machine learning algorithms examine historical case data to predict legal outcomes.

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Percipient

JANUARY 20, 2025

Machine Learning Machine learning helps AI get smarter and more effective over time by learning from historical data. For instance, machine learning can predict litigation risks based on similar cases, identify trends that might impact a client, or flag unusual clauses in contracts that might need extra attention.

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LawNext podcast

MAY 13, 2024

These new features include a framework for building, training and deploying bespoke machine learning models as secure APIs for customers; integration of Amazon Bedrock for custom copilot development using a range of commercially available large language models; and other features.

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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.

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LawSites

JULY 13, 2021

HaystackID , for e-discovery services and technology. Kira Systems , whose software uses machine learning to extract key information from contracts and other documents. Frontline , for outsourced IT and financial services.

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MatterSuite

JULY 9, 2024

As AI continues to redefine the legal landscape, it’s crucial to stay informed about the tools making the biggest impact. Best Tools for In-House Legal Teams The best tools for in-house legal teams are designed to streamline various aspects of legal operations, from contract management to e-discovery.

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MatterSuite

JULY 9, 2024

As AI continues to redefine the legal landscape, it’s crucial to stay informed about the tools making the biggest impact. Best Tools for In-House Legal Teams The best tools for in-house legal teams are designed to streamline various aspects of legal operations, from contract management to e-discovery.

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3 Geeks and a Law Blog

APRIL 13, 2023

Jeff highlighted the flexibility and benefits of LexisNexis’ technology, which can provide valuable insights and information to its users on-demand. So current information you’re not going to get from from those models. And so there was a ton of interest in and we had some interesting speakers there as well.

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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.

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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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MatterSuite

JULY 4, 2023

Ultimately enabling them to make more informed decisions and provide better counsel to their clients. AI-powered tools can quickly scan and extract relevant information, flag potential risks, and even suggest improvements. AI algorithms can assist legal professionals in making more informed decisions.

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LawSites

JANUARY 23, 2023

Each summary links to more-detailed information provided by each startup in its application. Thus, listed below are summaries of each (as provided by the startups), with links to pages containing more-detailed information as taken from their applications, including, for most, a demo video. Below are summaries of the semifinalists.

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CEE Legal Tech

JANUARY 16, 2023

It is, therefore, safe to wonder if the legal industry will react similarly to Machine Learning systems, especially those specifically designed to address legal problems. Until now, legal professionals were needed to feed the algorithm with legal information, logical reasoning, and intelligence. More on this role here.

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Lineal Services

MARCH 26, 2024

This blog explores how organizations can transform discovery-focused datasets into dynamic tools that predict trends, inform strategies, and optimize operations. Data Analysis: Employing statistical methods and machine learning algorithms to analyze the data and uncover patterns or trends.

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Bigfork Tech

APRIL 19, 2023

This can be particularly useful in tasks such as document review and legal research, where AI can quickly sift through large volumes of information to identify relevant facts and legal precedents. For example, e-discovery software, which uses AI to identify relevant documents in large data sets, is now widely used in litigation.

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Percipient

JUNE 23, 2022

We are often asked if we incorporate artificial intelligence (“AI”) into our legal workflows and electronic discovery processes. In e-discovery, models can be tailored to a dataset such as Continuous Active Learning (CAL). These abnormalities can be examined to potentially locate relevant information.

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MatterSuite

SEPTEMBER 4, 2024

When it comes to changes in the legal environment, eDiscovery remains high and is known as electronically stored information discovery. Association of Certified E-Discovery Specialists (ACEDS) Overview: ACEDS provides the Certified E-Discovery Specialist (CEDS) certification, which is recognized by professionals in the field.

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MatterSuite

JUNE 5, 2023

In today’s digital age, electronic discovery, or eDiscovery, plays a crucial role in the legal process. The vast amount of electronically stored information (ESI) makes it essential for legal professionals to adopt effective eDiscovery strategies for navigating the complex world of litigation.

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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. 5 Generative AI Generative AI is a tool that is still in its infancy, and consequently, the more we learn, the more there is to understand.

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Legal Talk Network

AUGUST 15, 2023

Keeps Client Informed Client communication is tied to client satisfaction, so small changes to how you share information with your clients make a positive impact. Cut Down on Discovery Time Sifting through discovery is a big undertaking, with most cases taking at least several months to complete.

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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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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. Leverton : Specializes in acquiring and processing lease information and other legal papers.

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Colin S. Levy

MARCH 7, 2023

Technology tends to process information more quickly, less expensively, more consistently, and with greater accuracy. One could credibly make similar statements about e-Discovery tools, e-billing and time tracking, etc. There is far too much hype around AI and machine learning, in my opinion.

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Colin S. Levy

MARCH 12, 2024

With the internet, the main use case that evolved was e-signature, and now we have the evolution of that with e-notarization. But all still focused on, essentially, information management tools. But it hasn’t taken off the way that many have expected. It's been pretty dramatic. AI changes the game.

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MatterSuite

JUNE 18, 2023

By leveraging artificial intelligence, machine learning, and data analytics. This may include tools for contract management, e-discovery, legal research, document automation, and case management. Legal professionals can collaborate in real-time, share information securely, and improve cross-functional alignment.

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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. designed to enhance your e-discovery workflows with powerful new features and improvements. OpenText eDiscovery CE 24.4:

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Law Technology Today

APRIL 13, 2023

District Court Judge Henry E. With the increasing adoption of legal data APIs that automate the discovery and delivery of court data, the laborious, manual transfer of legal information is no longer needed to effectively manage court dockets. In Courthouse News Service v. Hade et al , U.S.

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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. Pattern Recognition: AI shines in its pattern recognition capabilities.

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Legal Tech Monitor

APRIL 13, 2023

Jeff highlighted the flexibility and benefits of LexisNexis’ technology, which can provide valuable insights and information to its users on-demand. So current information you’re not going to get from from those models. And so there was a ton of interest in and we had some interesting speakers there as well.

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Above the Law - Technology

DECEMBER 4, 2023

The summaries listed below are based on information provided by the startups in their applications. In some cases as noted, startups have not provided information or have asked that information be kept confidential. VoiceScript Ai.Law Elevator Pitch: Provides AI-generated litigation documents, from pleadings to discovery.

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LawSites

JANUARY 17, 2022

Elevator pitch: Judges are like the umpires of the courtroom, but litigators lack the information they need to understand the parameters of each umpire’s strike zone. Traction: We have done a lot of work on customer discovery and gathered a great deal of positive feedback. Founded: 4/1/2021. Headquarters: Ona, W.V.

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LawSites

JANUARY 17, 2022

Elevator pitch: Judges are like the umpires of the courtroom, but litigators lack the information they need to understand the parameters of each umpire’s strike zone. Traction: We have done a lot of work on customer discovery and gathered a great deal of positive feedback. Founded: 4/1/2021. Headquarters: Ona, W.V.

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