top Innovations at RELX
Helping our customers change the world
Part Three
RELX is continually building new products and data and technology platforms to create effective solutions for customers.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses deliver better patient outcomes; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
This story is part three of our innovation series at RELX.
Catch up on the other parts below.
1A generative AI solution designed to transform legal work
Generative AI is transforming legal work and the industry as we know it.
LexisNexis Legal & Professional’s Lexis+ AI is a generative AI solution featuring conversational search, intelligent legal drafting, insightful summarization, and document upload and analysis capabilities. The solution is supported by state-of-the-art encryption and privacy technology to keep sensitive data secure.
“This is a moment unlike any we’ve seen in the legal industry, delivering generative AI that will safely and securely accelerate our customers’ success,” said Sean Fitzpatrick, CEO of LexisNexis North America, UK and Ireland. “Lexis+ AI gives legal professionals a significant competitive advantage by driving improved speed, productivity and work quality gains for law firms and their clients.”
Lexis+ AI answers are grounded in one of the world’s largest repositories of accurate and exclusive legal content from LexisNexis, minimizing the risk of invented content or hallucinations, and checking all citations against Shepard’s, a powerful legal citation tool to ensure citation validation.
Lexis+ AI excels at transforming legal work because it uses subject matter experts – attorneys – to fine-tune models for specific legal use cases; prompt engineering that analyses a customer’s question and provides additional instructions to improve the model; and integrates vast amounts of caselaw, legal data, news and other content capabilities using Retrieval-Augmented Generation (RAG) to extend the capability of a model.
Lexis+ AI has been developed with commercial preview users from leading global law firms, corporate legal departments, US small law firms, and US courts, and the company has expanded its commercial preview program to legal professionals in Canada, the UK, France and Australia.
2Providing deeper insights faster for the research community
Researchers, especially those early in their careers and those working across disciplines, face significant challenges and complexity in their daily work, including an ever-growing volume of data, prevalent misinformation and increasing workloads.
Elsevier’s Scopus AI helps them understand and explore a particular topic quickly, make connections across disciplines and collaborate with others to ensure the research has greater academic and societal impact. Scopus AI provides easy to read digestible summaries, with links to research papers and the ability to go deeper in seconds.
“Researchers need to understand unfamiliar topics, often with little time to do so,” said Maxim Khan, Senior Vice President of Analytics Products and Data Platform at Elsevier. “We are combining generative AI with our trusted and vetted content, data and domain expertise to help them in their critical work.”
Large Language Models (LLMs) have captured the world’s imagination with their ability to generate content but they also have shortcomings such as lack of transparency and hallucinations, which can undermine trust in the results delivered. Elsevier ensures that the content used in Scopus AI is rigorously vetted, based on over 29,000 academic journals from more than 7,000 publishers worldwide.
Scopus AI uses OpenAI’s GPT and other LLM technology in combination with Elsevier’s own technologies. It uses fine-tuned mini language models for vectorizing abstracts and is hosted on Azure. Its front end is built with a mix of JavaScript and CSS, while Python, Java, Elasticsearch and Langchain are utilized in the backend.
3Supporting physicians’ clinical decisions with AI-powered, evidence-based clinical content
Access to reliable, evidence-based medical information is critical, especially given the overwhelming volume of complex cases that clinicians are required to manage daily. In addition, staffing challenges are placing increasing demands on clinicians’ time, further amplifying the need for quick and secure access to accurate, trusted information at the point of care.
Elsevier’s ClinicalKey AI helps physicians access accurate evidence-based information at the point of care by combining Elsevier’s large corpus of trusted medical information with advanced AI technology. It features personalized conversational search to accelerate access to succinct, evidence-based clinical information from one of the world’s largest and most trusted bodies of medical information available to date. The solution has been designed to provide high-quality curated content and constantly refreshed evidence-based research to help clinicians in offering optimal patient experiences whether in a small clinic or a large hospital.
A key benefit of ClinicalKey AI is the inclusion of conversational search to accelerate access to evidence-based clinical information. Physicians can address challenging patient cases by getting access to a combination of the latest research, reference textbooks, clinical overviews, drug information and much more that clinicians trust. Physicians will also see citation links and underlying documents used to answer their questions to review the primary source documents. Finally, ClinicalKey AI will support follow-up questions and will recommend related ones for the physicians to consider. All content is licensed so users and institutions can feel confident in the information they are using.
"We believe ClinicalKey AI can be a game-changer for physicians,” said Jan Herzhoff, President at Elsevier Health. “By pairing our world-class medical content and technological expertise with the strong AI capability that OpenEvidence is known for, we can take a giant leap forward in the way physicians find and use information at the point of care. This first-in-class solution is tailor-made for time-pressed physicians who need access to precise answers to a wide range of clinical questions that are backed by scientific research and responsible AI principles."
ClinicalKey AI is built and maintained to deliver the accuracy and relevance of insights that healthcare institutions and physicians expect from Elsevier Health. ClinicalKey AI has been developed in line with Elsevier's Responsible AI Principles and Privacy Principles and in collaboration with our communities to ensure our solutions help them achieve their goals. ClinicalKey AI builds on Elsevier Health’s flagship offering ClinicalKey, which is used by thousands of hospital systems and medical schools across the globe to address point of care and deep reference needs.
4Utilizing alternative data for improved access to financial services
Most banks assess a consumer’s lending risk by using a traditional credit score, which relies on a consumer’s debt repayment history and total amount of debt. A good score is required for consumers to access mainstream financial products and services, including home mortgages, car loans and credit cards. Without a strong score, consumers face difficulties in obtaining these financial services and often resort to payday lenders and other high-interest credit sources for short-term funds. Habitat for Humanity sought to move beyond traditional credit scores to identify consumers it could provide loans to at affordable rates. LexisNexis RiskView uses non-credit events to assess a consumer’s stability, asset profile and numerous nonderogatory data signals, such as education history, personal property ownership and professional license data. It provides lenders, such as Habitat for Humanity, an alternative method for evaluating loan affordability and the likelihood of debt repayment. Consequently, they can expand their customer base safely, while consumers gain access to more affordable and dependable credit.
“We look more holistically at their entire credit profile: Their ability to pay, their willingness to partner, versus just looking at their credit report and saying, ‘You know what? They don’t fit this guideline profile that we’re trying to go by, so we can’t help them’,” said Jennifer Brammer, Vice President for Homeownership and Mortgage Services, Greater Indianapolis Habitat for Humanity. “Instead, we look at how long they have been in their job, doing their tax returns, their ability to pay. We are looking at life stability.”
Jalynnka Harris, a single mother of two working as a packing instructor in Indianapolis, approached Habitat for Humanity to help purchase a home for her family after repeated rent increases for their apartment. Despite having a steady job, no outstanding debts and a college degree, she lacked a credit rating because she had paid for everything she owned in cash or by cheque. Habitat for Humanity used alternative data from LexisNexis Risk Solutions to take a holistic view of Harris’ credit risk and approved her for a mortgage of approximately $500 per month over 20 years, which was less than her previous rent payments.
5Turning pledges into actions with the RELX CO2 Hub
The RELX CO2 Hub was launched in early 2022 and is a platform that collects, analyzes, and visualizes data about RELX’s emissions on a series of live dashboards. The aim is not only to measure and report on CO2 emissions, but also to change behaviors to cut the company’s emissions to as close to zero as possible.
The RELX CO2 Hub’s thirty-one daily refreshed dashboards include buildings, cloud and data centers, commuting, flights, homeworking, hotels, supply chain and others. There is a RELX group-level view, plus each RELX business (Risk, Scientific, Technical and Medical, Legal and Exhibitions) has its own version with data filtered to show its share of the footprint. Employees can even see their individual travel footprints, right down to individual flights and hotel stays.
“Many companies have made net-zero commitments but are struggling to action it,” said Clive Bastin, Director of the CO2 Hub. “With daily emissions data, ultra-accurate proprietary flight data, supplier rankings, sense-making visualizations, automated analytics and innovations such as automated reporting and carbon budgets and taxes, the RELX CO2 Hub turns pledges into actions.”
The Hub also includes flight emissions data, thanks to aviation analytics company Cirium, part of RELX. Cirium has developed a new methodology based on fuel-burn rather than distance-travelled. It factors in a vast array of variables, including actual flight time (more relevant than distance in determining how much fuel was used), aircraft model, aircraft age, engine type, number of seats, passenger load, cargo load, weather, taxi time – even how long a plane idles on the runway or circles in the air. The level of precision and accuracy of Cirium's calculations, based on fuel-burn as opposed to distance-travelled, has been validated by major carriers.
Technology is a key enabler at RELX and the RELX CO2 Hub is an example of how we leverage technology to improve operational efficiencies.
RELX is a global provider of information-based analytics and decision tools for professional and business customers.
We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive.
Built with Shorthand