Legal Tech Monitor

FEBRUARY 5, 2024

Beagle , a company that says it is harnessing the power of native AI to make e-discovery “cruelty free,” has raised $3 million in a seed funding round. Beagle’s cofounder and CEO, Sergey Demyanov , was formerly manager of machine learning at Snap Inc. It expects a broader commercial release later this quarter.

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LawSites

DECEMBER 9, 2024

Dave Lewis, a data scientist whose four-decade career has established him as a pioneer in artificial intelligence and data analytics in law, has joined the e-discovery and litigation management company Nextpoint as chief scientific officer, where he will lead efforts to develop the next generation of machine learning and generative AI tools throughout (..)

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LawSites

FEBRUARY 25, 2022

A product launched this week claims to be the fastest search and review platform in legal for matters involving large document collections — discovery, investigations and compliance — and the first to seamlessly combine keyword and algorithmic search. While these claims might seem audacious, they come from a team with a proven track record.

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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. world where justice will be mediated and delivered by AI, we should first understand how this Machine Learning product actually works.

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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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NSLT

APRIL 25, 2022

Next Generation E-Discovery: Portable AI While it may seem like a safe play to delay adoption until AI and other advanced tools reach wider acceptance or lawyers gain more technical proficiency, the reality is that the next generation of e-discovery is arriving. Read the Article here

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LawSites

AUGUST 15, 2022

Last January, the law firm Redgrave LLP , which specializes in e-discovery and information law, formed the company Redgrave Strategic Data Solutions LLC to provide “i nnovative services and solutions centered at the intersection of the law, technology, and science.” for advanced client data solutions?at at Hogan Lovells.

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LawNext podcast

AUGUST 6, 2024

For at least two decades, artificial intelligence has been used in e-discovery to help surface and prioritize review of potentially responsive documents from large document collections. So how effective is generative AI for document review in e-discovery? Is it a replacement for traditional TAR or a supplement?

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Percipient

FEBRUARY 5, 2025

TAR uses machine learning and software to categorize and prioritize documents, and the goal is to help law firms sift through large volumes of data more efficiently. Whether its contracts, compliance reviews, or e-discovery, weve got your back. Plus, were not just a plug-and-play platform. Absolutely.

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LawSites

AUGUST 29, 2022

Relativity , the global e-discovery and compliance technology company, said today that it has acquired Heretik , an AI contract review company whose product was built on the Relativity platform and whose staff is half composed of former Relativity employees. .

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Legal Tech Monitor

FEBRUARY 8, 2024

Beagle, whose co-founders were previously machine-learning managers at Snap Inc., looks to stand out in the market due what the company called its “experienced technical team.”

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Ron Friedmann

JULY 22, 2020

Legal e-billing has been around for decades and only recently have products started using legal AI to drive insights from the data. Brad references an early ROI tool based on e-billing systems. That led to reallocating work to offshore lawyers, ALSPs, and discovery. Secretary, TIAA Brad’s Introductory Remarks.

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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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Legal Talk Network

AUGUST 15, 2023

Cut Down on Discovery Time Sifting through discovery is a big undertaking, with most cases taking at least several months to complete. The need to respond quickly to discovery requests promptly adds even more pressure. Keep Up Effortlessly Nobody could keep up with all of the tech out there on their own, but AI can be helpful.

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ABA TECHSHOW

FEBRUARY 28, 2025

Legion AI Associate We are building AI agents that draft discovery and motions for litigation lawyers, allowing lawyers to customize each document in their own voice and generate work product on their own template. Using Large Language Models and Geometric Machine Learning, our platform forecasts litigation outcomes at scale.

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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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Colin S. Levy

MAY 21, 2024

Countries like the United Kingdom and Germany are leading the charge, with a growing number of legal tech startups focusing on areas such as legal research, contract automation, and e-discovery. The European legal tech market is projected to reach €3.6

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Colin S. Levy

OCTOBER 1, 2024

From practice management software to contract lifecycle tools and e-discovery applications, technology streamlines key activities. As businesses increasingly demand optimized legal services, the value of legal ops professionals skilled in emerging technologies like artificial intelligence and machine learning will continue to rise.

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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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CaseFox

JUNE 5, 2023

Introduction In today’s digital age, electronic discovery, or eDiscovery, plays a crucial role in the legal process. Technology-Assisted Review (TAR): TAR, also known as predictive coding or machine learning, utilizes advanced algorithms to assist in the document review process.

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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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Attorney at Work

JANUARY 13, 2022

Name normalization applies machine learning to eDiscovery to find all of an individual’s aliases, correctly coding documents regardless of how that individual is referenced, whether by name variations or emails. Sentiment analysis can be used to analyze the tone of that language for even further categorization.

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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. Factor , for managed services. Frontline , for outsourced IT and financial services.

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MatterSuite

JULY 9, 2024

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. E-Discovery Platforms E-Discovery platforms such as Relativity and Everlaw leverage AI to handle vast amounts of data during the discovery phase.

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MatterSuite

JULY 9, 2024

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. E-Discovery Platforms E-Discovery platforms such as Relativity and Everlaw leverage AI to handle vast amounts of data during the discovery phase.

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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.

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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.

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Legal Tech Blog

DECEMBER 8, 2022

From privacy and compliance to data inventory and discovery operations to cost analysis, legal departments have more to deal with today than ever before. In the case of e-discovery , for example, artificial intelligence is already being leveraged to great effect. These strains are not expected to ease soon – rather the opposite.

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MatterSuite

JULY 4, 2023

By leveraging machine learning techniques, AI systems can identify patterns and correlations that humans might miss. With advancements in natural language processing, machine learning, and data analytics, AI technology will enhance various aspects of legal practice.

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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. R E I H L and don’t hesitate to reach out. Aaron Crews as SVP of analytics and AI at UnitedLex.

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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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Bigfork Tech

APRIL 19, 2023

For example, e-discovery software, which uses AI to identify relevant documents in large data sets, is now widely used in litigation. For example, lawyers may need to become proficient in working with AI-powered legal research tools or using machine learning to analyze data. How is AI being used in legal currently?

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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).

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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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LawSites

JANUARY 23, 2023

EsquireTek Elevator Pitch: EsquireTek brings ground-breaking automation software to the underserved written discovery process. For decades, discovery has been a manual and tedious task. To do this, we’ve integrated important features usually only found in IP Management, E-billing, and Financial Planning and Analysis applications.

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Colin S. Levy

MARCH 7, 2023

Most digitization has come from e-discovery, litigation support, electronic billing, contract management systems (though most of the change on this one is seen in corporate legal departments), document management, and collaboration tools to a lesser extent. There is far too much hype around AI and machine learning, in my opinion.

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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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