LexisNexis Legal & Professional has launched Nexis+ AI, a new generative AI-powered platform that aims to accelerate "data-intensive research" and "strategic decision making." The service leverages LexisNexis's library of more than 20,000 licensed news publications and repositories of corporate data, including from such sources as the Associated Press, Gannett, and McClatchy, among others.
"This product's all about driving efficiency in research workflow,” Dani McCormick, v-p of product for Nexis Solutions, told PW. “It aims to solve the problem of having too much stuff to look at and, frankly, answering the question ‘where do I begin?’ ”
The platform offers a range of features designed to help users quickly search and analyze business, financial, and legal information; summarize lengthy documents; compile and share content; create first drafts of intelligence reports; discover relevant data points; and deliver "actionable business insights."
McCormick emphasized that the platform's development process has involved publishers from the start. “We started having those conversations fairly early in the journey,” she said, adding that LexisNexis is leveraging its reputation for authenticity and reliability. "We feel ahead of the others, from their [publishers'] perspective."
Nexis+ AI employs a multi-model approach, using AWS Bedrock, Claude models from Anthropic, and Azure OpenAI models from Microsoft to power its AI capabilities. In addition to returning a summary of results, the platform provides citations and links back to original source material, ensuring that publishers' intellectual property is respected and that they are compensated for AI-driven content use.
"We are using retrieval augmented generation and are focused on ensuring that all of the knowledge and answers we are getting are coming from the licensed content sources," Snehit Cherian, CTO of global Nexis solutions at LexisNexis, explained.
Prior to the launch of Nexis AI+, LexisNexis conducted a commercial preview program with organizations from various sectors—including large corporations, financial institutions, and major consulting firms—to refine the platform's features. Cherian added that, while building the platform, developers worked to ensure that Nexis AI+ would provide "research that the users can trust” while ensuring “that we are fair to our publishers.”
Results from queries can be saved in a secure space, and any documents an organization uploads to process through the AI technology are not retained. Automated information retrieval, summary, and delivery is a likely next step for the platform, McCormick admitted.
McCormick said Nexis+ AI represents seeks to balance technical innovation with respect for content creators' rights—as opposed to some competing upstarts—which she said makes Nexis+ AI an attractive proposition for both publishers and consumer clients alike.