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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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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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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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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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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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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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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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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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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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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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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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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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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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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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 look at the speed of adopting the cloud and e-docketing. But it hasn’t taken off the way that many have expected. It's been pretty dramatic. The tools to help you are better than ever.

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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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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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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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Colin S. Levy

FEBRUARY 6, 2024

I am a huge fan of experimenting with these techniques in the discovery phase. I was working in a team of six lawyers, most of them veterans of the firm with almost +15 Post-Qualified Experience and with a technical engineering background. Part 3: How to Drive Change. Addressing and framing the problem here is complex and multifaceted.

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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. Cost Savings: Efficient legal operations lead to significant cost savings for organizations.

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lawtomated

MARCH 30, 2022

The big trends suggest that this market will continue to grow; artificial intelligence and machine learning, voice search, virtual reality and folding displays are all more suited to app-based solutions. The app was built in two weeks and rolled out straight away.

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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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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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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. Hade et al , which present other challenges to the ability to aggregate court data online.

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Legal Tech Monitor

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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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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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. Learn more about the ethics of using AI in our article AI and the Law: What are the Ethical Considerations?

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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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MatterSuite

JUNE 5, 2023

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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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. This ground-breaking fusion of natural language processing and machine learning aids firms with contract analysis, due diligence, and regulatory compliance.

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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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Above the Law - Technology

DECEMBER 4, 2023

VoiceScript Ai.Law Elevator Pitch: Provides AI-generated litigation documents, from pleadings to discovery. See the demo video on responding to written discovery requests.) Our platform is the only one that learns your story (or your opponent’s) and has the power to efficiently deliver the best possible results.

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Legal Tech Monitor

DECEMBER 4, 2023

VoiceScript Elevator Pitch: Provides AI-generated litigation documents, from pleadings to discovery. See the demo video on responding to written discovery requests.) Our platform is the only one that learns your story (or your opponent’s) and has the power to efficiently deliver the best possible results. Anything else?

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LawSites

JANUARY 17, 2022

Traction: We have done a lot of work on customer discovery and gathered a great deal of positive feedback. Launching January 2022, our AI-driven engine will automate litigation processes like lawsuit and motion drafting, discovery preparation, procedural calendaring and much more by turning days of work into 2-3 minute-long activities.

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LawSites

JANUARY 17, 2022

Traction: We have done a lot of work on customer discovery and gathered a great deal of positive feedback. Launching January 2022, our AI-driven engine will automate litigation processes like lawsuit and motion drafting, discovery preparation, procedural calendaring and much more by turning days of work into 2-3 minute-long activities.

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3 Geeks and a Law Blog

JUNE 28, 2023

E-discovery professionals are on the front lines of detecting deep fakes used as evidence, according to Marathe. Catch Deepfakes If You Can: Can E-Discovery Tools Keep Up With Gen AI? And the deep comes from deep learning, which is a form of machine learning. Deepfakes Are Coming to Courts.

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Legal Tech Monitor

JUNE 28, 2023

E-discovery professionals are on the front lines of detecting deep fakes used as evidence, according to Marathe. Catch Deepfakes If You Can: Can E-Discovery Tools Keep Up With Gen AI? And the deep comes from deep learning, which is a form of machine learning. Deepfakes Are Coming to Courts.

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