This week brought the annual Legalweek show to New York, one of the world’s largest and most prominent legal technology conferences. Traditionally a place where major legal tech companies announce new products and features, this year was no different, save for slew of GPT-related announcements. As has been the case for several years, e-discovery and contract-management companies dominated the news coming out of Legalweek.
Here is part one of a two-part roundup of legal tech news announced this week. See also my posts this week about the expansion of Law.com Radar and about two surveys from LexisNexis on generative AI and litigation analytics.
E-Discovery Company Reveal Acquires LIGL for Legal Holds and Evidence Collection
The e-discovery company Reveal revealed at Legalweek that it had acquired LIGL, a company that provides a cloud-based “evidence lifecycle management” platform for managing the evidence-collection process in litigation and investigations, including legal holds, data preservation and data collection.
Reveal said that the acquisition of LIGL will allow it to integrate LIGL’s legal hold, evidence collection management and e-discovery workflow automation technology directly into the Reveal platform, translating to greater simplicity and efficiency for users.
“With an aligned mission to remove complexity and barriers from the eDiscovery process, the integration of LIGL onto the Reveal 11 platform is a win-win for our collective teams and the clients that will benefit from our technology stack,” said Wendell Jisa, Reveal’s founder and CEO.
Casepoint Enhances Its Legal Hold Capabilities
And speaking of legal holds, the e-discovery company Casepoint said that it has released an upgrade to its legal hold product that will “substantially streamline and accelerate the legal hold process across roles and departments.” It said the upgrade includes many new customer-driven features that address the increasing requirements of both corporate and government users for litigation, investigations, and compliance.
“The new version includes improvements in almost all aspects of the software including user interface, templates, acknowledgments, approvals, and communications with external and internal parties,” said Vishal Rajpara, Casepoint’s chief technology officer. “This version is easier to use, exponentially faster, and more efficient.”
Rajpara said that nearly 70% of the features in this new module were developed in response to requests from corporate and government customers. By enhancing its speed and reducing the numbers of clicks required, the new capabilities enable corporate and government clients “to accelerate their time to insight by up to 83% and reduce discovery-related costs by up to 57%,” Casepoint said.
“This latest upgrade allows users to save time by tracking responses and viewing reports in one secure solution, reduce risk by collecting data directly without the need for individual usernames or passwords, and provide configurable hold-notice acknowledgment reminders,” Casepoint said.
DISCO Teases AI Chatbot ‘Cecilia’
The discovery company DISCO said it will soon release DISCO Cecilia, an AI chatbot that is designed to enable lawyers to find evidence more quickly and easily.
According to DISCO, Cecilia is designed to allow lawyers to ask questions and receive answers with specific citations to supporting evidence in large-scale, private DISCO e-discovery databases. Unlike chatbots that answer based on only public data sources or the Internet, DISCO Cecilia is designed to cite evidence drawn from the user’s private documents contained in databases within DISCO — databases that can contain up to tens of millions of documents.
DISCO says this will shortcut the traditional discovery process, which typically involves asking a question about the evidence, crafting searches to identify documents related to that question, reviewing the documents to find evidence, and then answering the question based on the evidence.
With DISCO Cecilia, the lawyer can simply ask the ultimate question and get an AI-generated direct answer, with citations to supporting evidence, without the steps of crafting a search and reviewing documents.
DISCO said that Cecilia should be commercially available in 2023, following a planned phased introduction to DISCO customers.
ContractPodAi Introduces AI Services Hub ‘Leah’
Not to be outdone by DISCO’s Cecilia, ContractPodAi introduced Leah, an AI services hub that the company says “represents a generational shift in the way CLM is delivered.” According to the company, Leah offers five key features, all powered by ChatGPT:
- Leah One Drop, enabling users to create contract records with one simple drag-and-drop or upload step. Leah automatically detects and analyzes the contract file, creating records without any manual intervention.
- Leah Insights, providing vendor and customer visual insights using predictive analytics to accelerate negotiations based on historic data with customers and suppliers into previously negotiated contracts dashboard.
- Leah Assist, guiding customers to review, redline and negotiate contracts based on historic data analytics, precedents, playbooks, and use of generative AI technology to predict the best terms and conditions.
- Ask Leah, helping users search through thousands of contracts for insights or simply interact with a single contract via an interactive chatbot powered by ChatGPT, with real-time queries in relation to the contracts with smart prompts and guidance.
- Leah Deepsights, elevating critical contract data across all major business functions and drives improvements and better ROI across the enterprise contracting function based on benchmarking metrics from the cohort of customers across the ContractPodAi platform.
HaystackID’s Next-Gen Review Incorporates AI into Project Staffing
The e-discovery services company HaystackID said that it has launched the next generation of its global managed review services powered by new artificial intelligence and staffing marketplace capabilities.
These new features include:
- ReviewRight Match AI, which HaystackID says is an advanced document reviewer ranking and selection technology powered by cutting-edge artificial intelligence.
- ReviewRight Staff, a global document reviewer marketplace that matches certified candidates’ qualifications and performance with specific staffing needs.
The company said that these products build on its more than 12 years of review data, including millions of review hours and tens of millions of coded documents.
“ReviewRight Match AI’s proprietary learning algorithm leverages the latest AI technology to evaluate over 25,000 tested, qualified, certified, and continuously graded candidates from around the world,” the company said. “Additionally, ReviewRight Staff provides a comprehensive document reviewer selection program that ensures the best quality of candidates for clients.”
Four E-Discovery Service Providers Join to Form Repario
Officially making its debut this week was Rrepario, an e-discovery and digital forensics company created through the integration of four e-discovery service providers, Teris, Modus, Elijah, and Meta-e. Each of the four bring a unique skillset “that is highly accretive to the others and together will deliver all services across the litigation and investigation lifecycles,” an announcement said.
“This merger unites some of the industry’s most prestigious thought and service leaders, creating a powerhouse team that can provide unparalleled, end-to-end e-discovery solutions,” said Dave Deppe, CEO of Repario. “Our mission is to deliver what everyone wants but few truly have: a happy team and satisfied clients.”
Repario says its professionals have the expertise and knowledge to handle every aspect of e-discovery, from data collection and processing to document review and production. The company says it will use the latest technology and tools to ensure that all data is processed quickly and accurately, while employing state-of-the-art security measures to protect sensitive information.
In addition to technical expertise, Repario says it offers consulting services to help clients develop and implement effective e-discovery strategies.