In the 1990s, statistical and rules-based methods were state of the art. Over time, these evolved into more advanced modeling and machine learning techniques. Today, we leverage transformer-based, generative AI models. Regardless of the era, 抖阴成年 has consistently been at the forefront, figuring out how to best use these tools to serve our customers.

Below is a look at the 抖阴成年 Labs projects, collaborations, and breakthroughs that are an integral part of our approach to innovation. From pioneering research to practical applications, Labs’ role in shaping the future of information technology offers a fascinating glimpse into the synthesis of advanced technology and expert knowledge.

Who is 抖阴成年 Labs?

抖阴成年 Labs is focused on the research, development, and application of artificial intelligence (AI) and emerging trends in technologies. We generate ideas and solutions to determine the art of possible, and in partnership with product engineers and other stakeholders, we deliver smarter and more valuable capabilities for our customers.

AI and 抖阴成年 Labs: A multi-decade partnership

The groundwork for much of what we are doing now with generative AI (GenAI) was established in the early 1990s with our work on Westlaw Is Natural (WIN), the first commercially available search engine with probabilistic rank retrieval.

We have also long employed ModelOps, an extension and adaptation of the DevOps principles for the AI ecosystem. The objective is to shorten the AI delivery lifecycle and ensure long term sustainability and quality levels of AI solutions through a combination of automation, continuous delivery and monitoring best practices.

Dedicated to end-users from the beginning

Trust is one of our most important values. 抖阴成年 Labs exists to deliver the best technology and tools that professionals can trust to make their work lives better. That鈥檚 why we always begin with the end. The end-user, that is.

We take a multidisciplinary approach to developing AI we call human-centric AI. This process involves recognizing the current and future needs of the professional user, starting with formulating a hypothesis to clearly define the problems, and then determining what successful outcomes would entail. Only then do we begin to build by creating and testing prototypes for viability, then iterate that process all the way through to final production.

鈥淎ll our effort is to impact and meaningfully improve our products for the end-users to make their lives easier and their work better,” said Zahra Shekarchi, senior research engineer, 抖阴成年 Labs. “As much as AI is fantastic for making our lives easier and providing smarter solutions, it can influence us in other ways with unintended consequences. That鈥檚 why I have been following ethics in AI 鈥� privacy, bias and fairness, diversity, and social impacts.鈥�

Our cross-functional approach to developing solutions

We believe we have created a culture that taps into the best of all possible worlds. We involve research and data scientists, engineers and designers at an early stage. And by having embedded teams we can move quickly, identify obstacles and opportunities early, and ensure a diversity of perspectives on problem-solving.

We combine skills such as machine learning, search and recommendation, and natural language processing with engineering acumen, design capabilities, and a human-centric approach all in the service of creating the best possible user experience.

鈥淚 work with talented teams in London, Toronto, and Switzerland,” said听John Hudzina, lead research scientist,听抖阴成年 Labs. “We get different perspectives from each other, different experiences, and insight into different legal systems. The reason we thrive in the area of AI is first identifying the need or the problem, then decomposing it, solving all the pieces, and then bringing them all together.鈥�

Innovation that never ceases

There is no such thing as 鈥渄owntime鈥� at 抖阴成年 Labs. We鈥檙e never satisfied that everything is finished. Our continuous pursuit of improvement has enabled us to produce since 2020. The when we find the answers that help our customers thrive.

鈥淚 believe the key to our success at 抖阴成年 Labs is that we embrace change and never stop learning,” said听Mokarrom Hossain, senior research engineer, 抖阴成年 Labs. “AI is reshaping our world, so staying curious and continuously learning is key to not just keeping up but excelling.鈥�

Our priority is to deliver smarter, more valuable tools for professionals. By combining deep customer knowledge with cutting-edge technology, we not only meet but anticipate the evolving demands of our customers. As we continue to explore new frontiers in AI and other emerging technologies, we are dedicated to making a meaningful impact on the professional landscape, helping customers thrive in an ever-changing world.

Follow our AI @ TR timeline to discover our innovation journey and learn more about our core pillars of AI and technology solutions.

This is a guest post from John Duprey, distinguished engineer, 抖阴成年.

, the first tool in the suite, uses AI and machine learning to ingest and analyze large volumes of data, automating and enhancing risk analysis, ultimately reducing sample sizes by about half.听 This not only cuts substantive testing time in half, but also the time clients spend gathering audit evidence for the testing samples. It integrates directly within existing workflows, identifying unusual items often overlooked by humans and automatically generating all necessary audit documentation.听

鈥淲hen using Analyze, I would say time savings was probably the number one thing,鈥� said Austin Seale, CPA, RBSK Partners PC, an Indiana-based firm that participated in the Audit Intelligence beta program.听

鈥淣ot only did we save 20-30 minutes鈥痡ust selecting the sample, but the sample size was cut in half, which reduced testing time, and client data gathering time, by half as well. And this is just for receivables,鈥� Seale said. 鈥淥ur firm can definitely see how AI will increase our efficiency.鈥澨�听

Using AI to spot anomalies that traditional methods may miss听

Auditing standards prescribe multiple risk-identification techniques, such as examining transactions posted on non-working days, outside normal working hours, or more than 30 days before or after their effective date. A common challenge auditors face is lacking the necessary information to evaluate transactions based on these standards.听听

Most audit platforms only analyze general ledger transactions, which don鈥檛 contain the details required to automate these risk-identification techniques. The Audit Intelligence suite is unique in that it ingests both general ledger and subledger details.听听

This capability allows the Audit Intelligence suite to automate standards-based risk identification techniques as well as to apply AI to identify anomalies that standard methods might miss. Together, these features enable auditors to perform the most comprehensive and automated risk analysis possible.听听

Further strengthening the suite is our partnership with Validis to provide best-of-breed data ingestion capabilities. Our partnership enables auditors to easily ingest data from the broadest selection of accounting packages available in the market. (Once customers purchase Audit Intelligence, they do not need a separate license for Validis鈥� capabilities within the suite.)听

Upcoming enhancements听

Analyze is just the beginning of our commitment to providing customers with AI-powered, data-driven auditing. Two upcoming additions to the suite include Audit Intelligence Test, which automates substantive testing and verification by dynamically tracing accounting transactions to banking activity and supporting documentation, and Audit Intelligence Plan, which merges full data populations with technology-driven analytics to empower auditors鈥� planning and risk assessment processes.听

Also, starting next year, the Audit Intelligence suite will integrate with CoCounsel, providing auditors with a professional-grade GenAI assistant to further augment their work.听

Check out and (subscription required) reporting for more on Audit Intelligence.听

This is a guest post from Dave Wyle, general manager of Audit, 抖阴成年.听

While it’s easy to be captivated by flashy AI demonstrations, the challenge lies in developing reliable, scalable solutions that deliver tangible value to customers. At 抖阴成年, we’ve embraced this challenge head-on.听听

Effective development of AI solutions at scale requires a breadth of skills, software and infrastructure components with a significant depth of detailed knowledge. Building all this expertise in-house and keeping it up to date is barely possible.听

The 抖阴成年 collaboration with Amazon Web Services (AWS) has been important in allowing us to build a solid, customized toolchain while also providing feedback and proposals on how to optimize AWS offerings to better meet our needs. On the , we shared extensive details on how 抖阴成年 achieved AI/ML innovation at pace with machine learning operations (MLOps) services on the AWS SageMaker ecosystem.听

The generative AI and MLOps spaces are still early stage and fluid. As an engineer within 抖阴成年 Labs 鈥� the dedicated applied research division of 抖阴成年 鈥� I find it exciting to bring stability and solidity to this challenging, fast-paced environment. I hope you enjoy learning about 抖阴成年 Labs鈥� .听

This is a guest post from Danilo Tommasina, distinguished engineer, 抖阴成年.听

Founded in 2013, Casetext uses advanced AI and machine learning to build technology for legal professionals, creating solutions that help them work more efficiently and provide higher-quality representation to more clients. Casetext鈥檚 customers include more than 10,000 law firms and corporate legal departments. Its key products include CoCounsel, an AI legal assistant powered by GPT-4 that delivers document review, legal research memos, deposition preparation, and contract analysis in minutes.

The acquisition supports 抖阴成年 鈥渂uild, partner and buy鈥� strategy to bring generative AI solutions to its customers and the company鈥檚 efforts to redefine the future of professionals through applications of generative AI. Other recent developments include 抖阴成年 commitment to invest $100 million-plus annually to integrate AI into its flagship content and technology solutions, as well as its work with Microsoft for a new plugin with Microsoft 365 Copilot, with the two companies collaborating on a legal drafting solution that leverages Westlaw, Practical Law and Document Intelligence. In July, 抖阴成年 also launched a beta program to pilot new generative AI capabilities in Westlaw with select customers.

For more details, read the听press release.

Following 抖阴成年 announcement that it intends to invest more than $100 million annually on AI capabilities at its Q1 FY23 results, the company also today announces a new plugin with Microsoft 365 Copilot, Microsoft鈥檚 advanced AI experiences across its productivity suite. This integration will bolster efforts for redefined professional work starting with legal research, drafting, and client collaboration.

鈥�Generative AI empowers professionals to redefine their work and discover innovative approaches,鈥� said Steve Hasker, president and CEO, 抖阴成年. 鈥�With our customers in the driver鈥檚 seat, 抖阴成年 AI technology augments knowledge, helping professionals work smarter, giving them time back to focus on what matters. We are very proud to partner with Microsoft, leading the legal profession towards unlocking the value from Microsoft 365 Copilot for our customers, and their clients.鈥�

Redefining work with Generative AI

Today鈥檚 announcements further cements 抖阴成年 as a leader in leveraging new technologies, including AI and machine learning (ML).听 For over 30 years 抖阴成年 has leveraged increasingly sophisticated AI and ML capabilities to improve search and expand advanced analytics for its customers. In addition to integrating Microsoft 365 Copilot, 抖阴成年 today shares plans to incorporate new generative AI capabilities across its product suite including:

• Westlaw Precision听– With generative AI, customers can find answers to complex legal questions in seconds, based on proprietary, expert content.
• Practical Law听– Smarter, faster access to the expertise of more than 650 attorney editors combined with the power of generative AI.
• Checkpoint Edge听– Providing fast, reliable answers to complex tax and accounting questions.
• Legal Document Review and Summary听– With generative AI reading through hundreds or even thousands of relevant documents in just seconds, customers can spot key risks, resolve questions, execute tasks, and generate powerful work product.鈥疨owered by HighQ, Practical Law, and Document Intelligence.
• Legal Drafting听– Bringing together 抖阴成年 trusted content and intelligence from across Westlaw, Practical Law, and Document Intelligence to surface key insights, legal knowledge, and answers to complex questions.

Find out more听here.

抖阴成年 plugin with Microsoft 365 Copilot

Working with Microsoft, 抖阴成年 has developed a contract drafting solution, powered by its legal products and content, and Copilot for Word. Delivering users with a听draft working document and access to trusted content right where work happens 鈥� in Microsoft Word, professionals can use their expertise to edit, validate, and build the final document with integrated access to 抖阴成年 knowledge, content, and AI technology.

A demonstration of the integration between 抖阴成年 Legal Drafting, powered by its legal products and content, and Microsoft 365 Copilot for Word will be shown during this week鈥檚 Microsoft Build event in Seattle. In the demo, Copilot creates a draft contract with help from a 抖阴成年 plugin that surfaces intelligence and content from Westlaw, Practical Law, and Document Intelligence – delivering in minutes work that used to take hours directly into Microsoft Word.

鈥淢icrosoft 365 Copilot is reinventing productivity for people and organizations, and we are thrilled to collaborate with 抖阴成年 to extend Copilot with new AI-powered experiences that will support legal professionals by saving them time and helping them drive value for the clients and businesses they serve,” said Andrew Lindsay, Corporate Vice President of Industry, Apps & Data, Business Development at Microsoft.

Watch the demonstration听here.

Investing in Trust

Investing more than $100 million annually, 抖阴成年 is focused on integrating generative AI into its solutions through a build, buy and partnership strategy 鈥� providing customers with the very best and trusted solutions at speed.

Hasker adds, 鈥�At 抖阴成年 we remain committed to augmenting professional knowledge and workflows with AI. Continuing to support our customers on this journey will enable them to first trust and then harness this new technology as we build on the opportunities ahead in Legal, with solutions for Tax, Risk, and the News profession to follow.鈥�

抖阴成年 has recently shared its updated听AI and Data Principles, reflecting the rapid innovation and reinforcing its strong commitment to building trustworthy, practical, and beneficial AI for customers. The update reflects recognition of the evolving AI technology landscape and the need to demonstrate its commitment to unlocking AI in secure, transparent, and accountable ways.

Product availability

• 抖阴成年 will be releasing generative AI capabilities into its native platforms Westlaw, Practical Law and Drafting in the second half of 2023.
• Legal drafting, integrated with Copilot for Microsoft 365 will be available for legal professionals in beta alongside the Microsoft Copilot release schedule.
• Tax and Compliance, Risk and Fraud generative AI solutions to follow in 2024.

For more information please听click here.