In the legal profession, many daily tasks revolve around document analysis鈥攔eviewing contracts, transcripts, and other legal documents. As the leading AI legal assistant, CoCounsel鈥檚 ability to automate document-centric tasks is one of its core legal capabilities. Users can upload documents, and CoCounsel can automatically perform various tasks on these documents, saving lawyers valuable time.

Legal documents are often extensive. Deposition transcripts can easily exceed a hundred pages, and merger and acquisition agreements can be similarly lengthy. Additionally, some tasks require the simultaneous analysis of multiple documents, such as comparing contracts or testimonies. To perform these legal tasks effectively, solutions must handle long documents without losing track of critical information.

When GPT-4 was first released in 2023, it featured a context window of 8K tokens, equivalent to approximately 6,000 words or 20 pages of text. To process documents longer than this, it was necessary to split them into smaller chunks, process each chunk individually, and synthesize the final answer. Today, most major LLMs have context windows ranging from 128K to over 1M tokens. However, the ability to fit 1M tokens into an input window does not guarantee effective performance with that much text. Often, the more text included, the higher the risk of missing important details. To ensure CoCounsel鈥檚 effectiveness with long documents, we鈥檝e developed rigorous testing protocols to measure long context effectiveness.

Why a Multi-LLM Strategy鈥攁nd Trusted Testing Ground鈥擬atter

At 成人VR视频, we don鈥檛 believe in putting all our bets on a single model. The idea that one LLM can outperform across every task鈥攅specially in high-stakes professional domains鈥攊s a myth. That鈥檚 why we鈥檝e built a multi-LLM strategy into the core of our AI infrastructure. It鈥檚 not a fallback. It鈥檚 one of our competitive advantages.

Some models reason better. Others handle long documents more reliably. Some follow instructions more precisely. The only way to know what鈥檚 best for any given task is to test them鈥攔elentlessly. And that鈥檚 exactly what we do.

Because of our rigor and persistence in this space, 成人VR视频 is a trusted, early tester and collaborator for leading AI labs. When major providers want to understand how their newest models perform in high-stakes, real-world scenarios, they turn to us. Why? Because we鈥檙e uniquely positioned to pressure-test these models against the complexity, precision, and accountability that professionals demand 鈥� and few others can match.听

• Our legal, tax, and compliance workflows are complex, unforgiving, and grounded in real-world stakes
• Our proprietary content鈥攊ncluding Westlaw and Reuters News鈥攇ives us gold-standard input data for model evaluation
• Our SME-authored benchmarks and skill-specific test suites reflect how professionals actually work鈥攏ot how a model demo looks on paper听

When OpenAI was looking to train and validate a custom model built on o1-mini, 成人VR视频 was among the first. And when the next generation of long-context models hits the market, we are routinely early testers.

A multi-model strategy only works if you know which model to trust鈥攁nd when. Benchmarking is how we turn optionality into precision.

This disciplined, iterative approach isn鈥檛 just the best way to stay competitive鈥攊t鈥檚 the only way in a space that鈥檚 evolving daily. The technology is changing fast. New models are launching, improving, and shifting the landscape every week. Our ability to rapidly test and integrate the best model for the job鈥攁t any moment鈥攊sn鈥檛 just a technical strategy. It鈥檚 a business advantage.

And all of this isn鈥檛 just about immediate performance gains. It鈥檚 about building the foundation for truly agentic AI鈥攖he kind of intelligent assistant that can plan, reason, adapt, and act across professional workflows with precision and trust. That future won鈥檛 be built on rigid stacks or static decisions. It will be built by those who can move with the market, test with integrity, and deliver products that perform in the real world.

RAG vs. Long Context

In developing CoCounsel鈥檚 capabilities, a significant question was whether and how to utilize retrieval-augmented generation (RAG). A common pattern in RAG applications is to split documents into passages (e.g., sentences or paragraphs) and store them in a search index. When a user requests information from the application, the top N search results are retrieved and fed to the LLM in order to ground the response.

RAG is effective when searching through a vast collection of documents (such as all case law) or when looking for simple factoid questions easily found within a document (e.g., specific names or topics). However, some complex queries require a more sophisticated discovery process and more context from the underlying documents. For instance, the query 鈥淒id the defendant contradict himself in his testimony?鈥� requires comparing each statement in the testimony against all others; a semantic retrieval using that query would likely only return passages explicitly discussing contradictory testimony.

In our internal testing (more on this later), we found that inputting the full document text into the LLM鈥檚 input window (and chunking extremely long documents when necessary) generally outperformed RAG for most of our document-based skills. This finding is supported by studies in the literature^1,2. Consequently, in CoCounsel 2.0 we leverage long context LLMs to the greatest extent possible to ensure all relevant context is passed to the LLM. At the same time, RAG is reserved for skills that require searching through a repository of content.

Comparing the Current Long-Context Models + testing

As discussed in our previous post, before deploying an LLM into production, we conduct multiple stages of testing, each more rigorous than the last, to ensure peak performance.

Our initial benchmarks measure LLM performance across key capabilities critical to our skills. We use over 20,000 test samples from open and private benchmarks covering legal reasoning, contract understanding, hallucinations, instruction following, and long context capability. These tests have easily gradable answers (e.g., multiple-choice questions), allowing for full automation and easy evaluation of new LLM releases.

For our long context benchmarks, we use tests from LOFT³, which measures the ability to answer questions from Wikipedia passages, and NovelQA⁴, which assesses the ability to answer questions from English novels. Both tests accommodate up to 1M input tokens and measure key long context capabilities critical to our skills, such as multihop reasoning (synthesizing information from multiple locations in the input text) and multitarget reasoning (locating and returning multiple pieces of information). These capabilities are essential for applications like interpreting contracts or regulations, where the definition of a term in one part of the text determines how another part is interpreted or applied.

We track and evaluate all major LLM releases, both open and closed source, to ensure we are using the latest and most advanced models, such as the newly updated GPT-4.1 model with its much-improved long context capabilities.

Skill-Specific Benchmarks

The top-performing LLMs from our initial benchmarks are tested on our actual skills. This stage involves iteratively developing (sometimes very complex) prompt flows specific to each skill to ensure the LLM consistently generates accurate and comprehensive responses required for legal work.

Once a skill flow is fully developed, it undergoes evaluation using LLM-as-a-judge against attorney-authored criteria. For each skill, our team of attorney subject matter experts (SMEs) has generated hundreds of tests representing real use cases. Each test includes a user query (e.g., 鈥淲hat was the basis of Panda鈥檚 argument for why they believed they were entitled to an insurance payout?鈥�), one or more source documents (e.g., a complaint and demand for jury trial), and an ideal minimum viable answer capturing the key data elements necessary for the answer to be useful in a legal context. Our SMEs and engineers collaborate to create grading prompts so that an LLM judge can score skill outputs against the ideal answers written by our SMEs. This is an iterative process, where LLM-as-a-judge scores are manually reviewed, grading prompts are adjusted, and ideal answers are refined until the LLM-as-a-judge scores align with our SME scores. More details on our skill-specific benchmarks are discussed in our previous post.

Our test samples are carefully curated by our SMEs to be representative of the use cases of our users, including context length. For each skill, we have test samples utilizing one or more source documents with a total input length of up to 1M tokens. Additionally, we have constructed specialized long context test sets where all test samples use one or more source documents totaling 100K鈥�1M tokens in length. These long context tests are crucial because we have found that the effective context windows of LLMs, where they perform accurately and reliably, are often much smaller than their available context window.

In our testing, we have observed that the more complex and challenging a skill, the smaller an LLM鈥檚 effective context window for that skill. For more straightforward skills, where we search a document for one or a few data elements, most LLMs can accurately generate answers at input lengths up to several hundred thousand tokens. However, for more complex tasks, where many different data elements must be tracked and returned, LLMs may struggle with recall to a greater degree. Therefore, even with long context models, we still split documents into smaller chunks to ensure important information isn鈥檛 missed.听

When you look at the advertised context window for leading models today, don鈥檛 be fooled into thinking this is a solved problem. It is exactly the kind of complex, reasoning-heavy real-world problem where that effective context window shrinks. Our challenge to the model builders: keep stretching and stress-testing that boundary!

Final Manual Review

All new LLMs undergo rigorous manual review by our attorney SMEs before deployment. Our SMEs can capture nuanced details missed by automated graders and provide feedback to our engineers for improvement. These SMEs further provide the final check to verify that the new LLM flow performs better than the previously deployed solution and meets the exacting standards for reliability and accuracy in legal use.

Looking Ahead: From Benchmarks to Agents

Our long-context benchmarking work is more than just performance testing 鈥� it鈥檚 a blueprint for what comes next. We鈥檙e not just optimizing for prompt-and-response AI. We鈥檙e laying the technical foundation for truly agentic systems: AI that can not only read and reason, but plan, execute, and adapt across complex legal workflows.

Imagine an AI assistant that doesn鈥檛 just answer a question, but knows when to dig deeper, when to ask for clarification, and how to take the next step 鈥� whether that鈥檚 reviewing a deposition, cross-referencing contracts, or preparing a case summary. That鈥檚 where we鈥檙e headed.

This next chapter requires everything we鈥檝e built so far: long-context capabilities, multi-model orchestration, SME-driven evaluation, and deep integration into the professional鈥檚 real-world tasks. We鈥檙e closer than you think.

Stay tuned 鈥� more on that soon.

听——-

1. Li, Xinze, et al. “Long Context vs. RAG for LLMs: An Evaluation and Revisits.” arXiv preprint arXiv:2501.01880 (2024).听
2. Li, Zhuowan, et al. “Retrieval augmented generation or long-context llms? a comprehensive study and hybrid approach.” Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. 2024.听
3. Lee, Jinhyuk, et al. “Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?.” arXiv preprint arXiv:2406.13121 (2024).听
4. Wang, Cunxiang, et al. “Novelqa: Benchmarking question answering on documents exceeding 200k tokens.” arXiv preprint arXiv:2403.12766 (2024).听

听

听

Continued climb in law firm productivity听

I joined 成人VR视频 in February, and a notable way we鈥檝e seen the impact of generative AI solutions is the uptick in lawyer productivity. For the first time in years, Q2 saw a majority of law firms experience productivity growth. By Q3, an astounding 64% of law firms reported productivity growth, building on the gains made in Q2.听听

This uptick underscores how technology is key to boosting law firm profitability. Law firms that invest in new technology as well as adopt AI and generative AI solutions to streamline workflows and improve the efficiency and quality of their work are best positioned to improve client satisfaction and drive sustainable productivity growth.听

Build, buy, partner strategy听

I鈥檓 pleased with the progress 成人VR视频 has made on our vision to provide all the legal professionals we serve with a professional-grade GenAI assistant to augment their work. We鈥檝e committed to investing $100 million annually in AI over the coming years, including investing more than $200 million to incorporate responsible AI into our solutions鈥�in the past year alone.听听听

This year we continued investing in the latest technology through our build, buy, partner program. On the buy side in the legal space, our acquisition of Safe Sign Technologies 鈥� a UK legal large language model (LLM) startup 鈥� in August is proving a great fit. We鈥檙e incorporating Safe Sign鈥檚 tech and talent into our industry-leading content and expertise to bring customers even greater quality and performance from our AI solutions.鈥�听

On the build side, we introduced 19 legal generative AI solutions in 2024. Highlights include CoCounsel 2.0, the professional-grade GenAI assistant; Claims Explorer, a generative AI skill available in鈥�; CoCounsel Drafting, an end-to-end drafting solution that streamlines and improves the drafting process for legal professionals within Microsoft Word; and Mischaracterization Identification in Quick Check and AI Jurisdictional Surveys 鈥� two generative AI research features that help customers save substantial time and deliver greater confidence that legal research is accurate, thorough, and complete. We also delivered deeper integration of CoCounsel into Westlaw and Practical Law.听

On the partner side, we鈥檙e working with Microsoft, OpenAI, Google and others on plugins and integrations to enhance the generative AI-powered capabilities in our solutions.鈥疎very aspect of our build, buy, partner strategy is geared toward helping our customers automate their workflows, provide powerful insights to their clients and drive efficiencies.鈥��听

A maturing market听听

2024 saw the implementation of legal generative AI solutions as well as efforts to benchmark these solutions. Our benchmarking support is reflected in our participation in studies including Vals.ai plus two consortium efforts 鈥� from Stanford and Litig 鈥� exploring how to best evaluate legal AI.听听

I believe that benchmarking can improve both the development and the adoption of AI, but it鈥檚 just鈥痮ne component in how we consider and understand the benefits AI delivers for our customers.鈥疘 look forward to our ongoing collaboration with customers and industry partners as we continue working to minimize inaccuracies and increase the usefulness of the research outcomes for generative AI solutions.听

To date, 15% of law firms have adopted and implemented legal-specific generative AI solutions. I anticipate we鈥檒l soon see a wave of fast followers 鈥� eager to be perceived as innovative 鈥� that will dramatically strengthen generative AI implementation.听

I can鈥檛 think of a more exciting time to have joined a business. Where our industry is at now mirrors the early internet era: initial excitement, followed by strategic integration.听听

We鈥檙e fast approaching a maturing market where legal professionals will not just desire but require AI capabilities for their workflows. We鈥檒l see more implementation of generative AI solutions among legal professionals as they increasingly realize the tangible benefits.鈥�鈥�听

For more on how generative AI is shaping the future of the legal profession, please check out my interview.听听

This is a guest post from Raghu Ramanathan, president, Legal Professionals, 成人VR视频.听

However, not using GenAI for work at all is a non-option. 77% of professionals believe AI will have a high or transformational impact on their work over the next five years, and 78% call AI a 鈥渇orce for good鈥� in their profession. In fact, 50% of law firms named AI among their top five strategic priorities for the next 18 months. If there were still doubt, there definitely isn鈥檛 anymore: GenAI is here to stay.听

So how can conscientious 鈥� and forward-thinking 鈥� professionals make the most of this generational technology while guarding against its drawbacks? How do you know if the GenAI solution you鈥檙e considering will live up to your professional obligation to work ethically and ensure your clients鈥� data is securely handled? Is any GenAI product trustworthy? Is it even possible for tools built on large language models (LLMs) such as GPT-4o from OpenAI and Google鈥檚 Gemini, all of which are known to hallucinate, to be safe enough to use professionally?听

Yes, it is possible. 鈥淏uilt on鈥� is the key. When we launched our GenAI assistant, CoCounsel, our product and engineering teams delivered on the challenge of creating a product that could take advantage of LLMs鈥� tremendous raw power while eliminating as many of their serious limitations as possible 鈥� like hallucinations 鈥� that curb the professional utility of models when used on their own. What makes the current generation of LLMs truly extraordinary, then, is not what they alone can do, but what they enable.听听听听听听

Using a model directly should be done with great caution and exposes users to risk if they use the output professionally. CoCounsel, on the other hand, harnesses that power and has engineered robust, well-tested accuracy, privacy, and security controls around it. In short: LLMs are the world鈥檚 most incredible engines. CoCounsel uses that engine to take you incredible places 鈥� places you couldn鈥檛 reach without these LLMs 鈥� safely.听

Why can professionals trust CoCounsel?听

We鈥檝e applied our technical and domain expertise to leading LLMs in creating and continuing to optimize CoCounsel, a first-of-its-kind product that both does more than LLMs can and corrects the problems that make them unsuitable on their own.听

In short, CoCounsel is a professional-grade GenAI assistant. And no professional should use a GenAI solution that isn鈥檛.听

What does it take for a GenAI assistant to be professional-grade? At a bare minimum 鈥� without which it should not be trusted for your work 鈥� it must be:听

1. Built for domain-specific use and grounded in reliable sources of data relevant to that use.鈥疉 professional-grade solution, such as CoCounsel, harnesses the power of LLMs but limits the source of knowledge to known, reliable data sources 鈥� such as profession-specific domains or professionals鈥� or their clients鈥� databases 鈥� which rigorously limits the possibility of inaccuracies.
2. Built to make verifying its output easy. CoCounsel was not designed to replace the role of the professional, but rather to help them accomplish more and higher-quality work in less time. So just as lawyers review all work delegated to a junior associate or paralegal, they must validate CoCounsel鈥檚 output. We鈥檝e made it easy to do so: all answers link to their origin in the source documents, so it鈥檚 simple to 鈥渢rust, but verify.鈥�听
3. Developed by technical teams with deep GenAI expertise.鈥� Though GenAI has only been broadly talked about since 2022, it鈥檚 been around since 1961. 成人VR视频 AI engineers and research teams have worked with LLMs since their invention, were among the first to build with GPT-4, and have invented patented approaches to applying LLMs to professional use cases.鈥�听
4. Continually and consistently tested and authenticated by a dedicated team of domain experts.鈥� 成人VR视频听AI engineers and Trust Team attorneys together filter, rank, and score CoCounsel鈥檚 responses to a daily battery of thousands of tests developed to simulate real-life legal use cases and ensure the assistant鈥檚 answers are consistent and accurate. To date we鈥檝e run more than 1,000,000 such tests against CoCounsel.鈥�听
5. Secure and private, because it interacts with third-party LLMs the right way. 成人VR视频 GenAI solutions access third-party LLMs through dedicated, private servers, and through an 鈥渆yes off鈥� API. No LLM partner employees can see customer queries or documents, and our LLM access is contractually 鈥渮ero retention.鈥� Our LLM partners cannot store customer data longer than it takes to process the request. Our product data is never used to train any third-party models. And all product data is encrypted in transit and at rest, and subject to 成人VR视频 rigorous security policies and practices. 听

Why 鈥渕akes minimal mistakes鈥� isn鈥檛 enough听

As important as the above five characteristics are, they鈥檝e become price-of-entry criteria for professional-grade GenAI. And given how rapidly the technology is evolving, what you expect from a professional-grade solution should, as well. Remember: GenAI has the power to do so much more than help you complete jobs. It can transform what it means to be a professional, freeing you for more strategic, creative, valuable work that a machine just cannot do 鈥� which can transform not only how you do business, but also how much business you do.听听

To take full advantage of this potential, you need a GenAI assistant that fulfills two more key requirements:听

1. Professional-grade means intelligently and seamlessly handling workflows, not just completing a series of tasks. A true GenAI assistant goes beyond responding to your requests, instead guiding you through the steps required to finish long, complex, even open-ended projects. Only this kind of product, such as CoCounsel, can truly unlock the full potential of GenAI.

Through an expanding set of capabilities and deep connections with both your documents and the tools you use every day 鈥� e.g., Microsoft 365 鈥� a professional-grade GenAI assistant can traffic an entire deliverable from task to task, program to program, in a continuous stream, prompting you forward through the next steps and simultaneously handling multiple pieces of the work itself.

CoCounsel is built for workflows. It鈥檚 accessible across multiple 成人VR视频 products, bringing together both fundamental capabilities such as summarization and document review with specialized functions such as legal research, for a smooth transition from one type of work to the next. And it鈥檚 integrated with both Microsoft 365 and document management systems, available for you literally wherever you鈥檙e working, from client communication to research to document drafting and beyond.

2. Professional-grade means providing partnership, not just product. Without in-depth, sustained support, you鈥檙e unlikely to get the most possible value from your investment. A professional-grade vendor offers a success and support team that will be there for you long after you鈥檝e signed a subscription agreement. They work with you to deeply understand your most prevalent use cases and how their solution will help you tackle them, and of course are available when something鈥檚 not working the way it should. They keep you informed about product changes and improvements and continue creating content you can use to increase your knowledge, such as videos, webinars, and written materials. A truly professional-grade team has a vision for their GenAI assistant, ensuring it will increase in power and capability as the technology advances. And most important, they are as invested in you as you are in them.

Upon adopting CoCounsel, legal professional users are trained by the 成人VR视频 Customer Success team, made up of licensed attorneys, many still practicing, with dozens of years of combined experience in both litigation and transactional law. And many of these trainers are prompting engineer specialists, who in addition to being licensed attorneys have a background in computer science. After onboarding, we ensure everyone using CoCounsel has the opportunity to attend live trainings and watch recorded webinars, get individual help through live chat and email, and access dozens of video tutorials鈥攁 resource pool that will only keep growing.

This is a guest post from Jake Heller, head of CoCounsel, Thomson Reuters, and Erin Nelson, CoCounsel content strategist, 成人VR视频.听听

CoCounsel 2.0 draws on its robust set of specialized skills to handle complex, multi-step work, helping professionals quickly pinpoint key knowledge in vast databases, thoroughly communicate sophisticated information, and complete essential work with unprecedented speed.听CoCounsel 2.0 generates answers three times faster than the current version, operates more intuitively, and delivers more thorough, nuanced results.

It also tests combining the unique capabilities and strengths from OpenAI, Google, and 成人VR视频, such as its industry-leading content and legal technology.听 CoCounsel 2.0 will also bring additional and upgraded capabilities for legal professionals.

The just-launched Claims Explorer in Westlaw Precision with CoCounsel simplifies claims research by enabling legal professionals to enter facts and identify applicable claims or counterclaims. , the end-to-end GenAI-enabled solution from 成人VR视频, accelerates drafting by as much as 50%.

鈥湷扇薞R视频 is here for one reason: to ensure our customers reliably and safely realize the greatest possible value from this generational technology鈥攁s quickly as possible,鈥� said David Wong, chief product officer, 成人VR视频. 鈥淐oCounsel 2.0 is founded upon our ability to combine our data, expertise, and trusted content with cutting-edge technology. Partnering with leading LLM providers is a key part of our strategy and will help us deliver even more for our customers, enabling them to accomplish what they need to evolve their businesses more quickly and more effectively than ever.鈥�

Wong will discuss CoCounsel 2.0 with Jake Heller, head of Product for CoCounsel, 成人VR视频, and Kriti Sharma, chief product officer of Legaltech, 成人VR视频, in their ILTACON session, 鈥淢aximizing Impact and ROI: Harnessing the Full Potential of GenAI in the Legal Profession.鈥�

鈥淐oCounsel 2.0 is more powerful than the first generation of CoCounsel and accessible from within 成人VR视频 products 鈥� beginning with Westlaw Precision and Practical Law 鈥� plus from within Microsoft 365, beginning with Word, Teams, and Outlook. It’s exactly what our legal customers are looking for,鈥� Sharma said. 鈥淒ebuting CoCounsel 2.0 at ILTACON is the perfect fit, as it鈥檚 all about realizing successful legal strategies for transforming the legal industry. I’m thrilled for the opportunity to share our powerful CoCounsel 2.0 vision and discuss how legal professionals can embrace professional-grade GenAI to streamline their workflows and boost productivity while maximizing ROI.鈥�

鈥淲e鈥檝e always been on the leading edge of emerging technology and it鈥檚 incredibly fulfilling to experience our vision 鈥� of providing every professional we serve with a GenAI assistant 鈥� becoming reality for our customers,鈥� Heller said. 鈥淲e鈥檙e seeing a growing maturity in the adoption of AI, and legal professionals are ready for the practical application and optimization of GenAI. CoCounsel 2.0 enables them to use GenAI to its fullest potential to drive efficiencies and productivity gains 鈥� working with the tools they already use every day.鈥�

For more on CoCounsel 2.0, read the press release. Check out more Innovation Blog posts for product news, leader insights, and customer perspectives on how 成人VR视频 is paving the way for the future of professionals.

CoCounsel will unify the entire customer experience and give customers a new way to access 成人VR视频 product capabilities through a single GenAI assistant with applications across Legal, Tax, Risk & Fraud, and Media.

CoCounsel is an AI assistant that acts like a team member 鈥� handling complex tasks with natural language understanding. Completing tasks at superhuman speeds, CoCounsel provides high-quality information at the right time, maintains multiple threads of work, as well as keeping context and memory across the different tasks and products customers use each day. By augmenting professional work with GenAI skills, CoCounsel delivers accelerated and streamlined workflows, enables professionals to produce higher-quality work more quickly, all while keeping customer data secure. Watch more听here.

Over time CoCounsel will link 成人VR视频 products across its entire portfolio, meaning customers can bring together multiple skills and workflows from different products into one place to enhance user experience and value.

鈥淭oday, 成人VR视频 published a global AI study sharing that 81% of professionals believe AI could be applied to their work; responding to customers changing needs challenges us to build and apply the very best applications of GenAI to professional work,鈥� said David Wong, 成人VR视频 Chief Product Officer. 鈥淥ur unique combination of resources means we can deliver on our vision of providing professionals a new, human-centric point of access to our suite of 成人VR视频 products. As our products continue to expand and improve, the customer experience will remain centered in our GenAI assistant as CoCounsel learns new skills and capabilities – unlocking productivity and becoming the way professionals work.鈥�

成人VR视频 uses cutting-edge generative AI technologies. For example, CoCounsel is powered by GPT-4, thanks to an early and ongoing partnership with OpenAI.

鈥淲e are excited to continue working with 成人VR视频. By powering solutions like CoCounsel, their new professional-grade AI Assistant, together we make knowledge workers more creative and productive,鈥� said Brad Lightcap, COO at OpenAI. 鈥淎I automates routine tasks and makes it possible to quickly analyze huge amounts of data 鈥� but even more importantly, it helps people come up with new ways to solve complex problems.鈥�

Delivering new CoCounsel skills for Tax and Legal professionals

CoCounsel is embedded in and delivers the power of GenAI where professionals work, whether it鈥檚 in听Westlaw Precision听with CoCounsel, and听Practical Law Dynamic Tool Set听with CoCounsel. Today, the company is announcing new, additional skills for both Tax and Legal professionals including:

Checkpoint Edge with CoCounsel 鈥�听Our first generative AI product for tax professionals delivers better, faster answers to complex tax research questions, rooted in 成人VR视频 trusted proprietary content, enhancing efficiency for seasoned researchers and enabling inexperienced researchers to work with reduced supervision.

Westlaw Edge UK with CoCounsel 鈥�听The first 成人VR视频 generative AI legal research offering in the UK streamlines the initial phase of legal research, allowing customers to ask complex questions in natural language and delivering a synthesized answer grounded in trusted Westlaw content with detailed insights from top results including a list of key cases, legislation, and related topics.

CoCounsel Integrations with Microsoft 365 鈥�听With third-party integrations, CoCounsel will connect professionals with the tools they use daily starting with Microsoft 365 – adding CoCounsel applications for Teams, Word, Outlook, and SharePoint to accelerate research, drafting and review.

鈥淎t Ford, we constantly pursue technology at the forefront of AI and machine learning innovation, to strengthen operations across the company, from design and manufacturing to legal and compliance. When I first saw CoCounsel as a beta customer, I knew it was a game-changer,” said Darth Vaughn, Managing Director, Legal Ops+ and Litigation Counsel at Ford Motor Company. “With CoCounsel, we work more efficiently and thoroughly, giving people in a wide range of roles more time for higher-level, strategic work, as well as cross-functional coordination. We eagerly anticipate skills that continue to enhance our legal professionals and our broader organization.”

成人VR视频 will use its GenAI platform to create even more GenAI skills, and they鈥檒l be introduced into products across every business segment it serves under the CoCounsel brand. 成人VR视频 is well-positioned to deliver an experience that will transform professional work by calling on its 30+ years of experience in this field and its proprietary content used to continue to expand its GenAI platform.

The GenAI platform – accelerating the delivery of professional-grade GenAI

成人VR视频 has invested in infrastructure positioning them to innovate with GenAI鈥攄esigning, developing, and launching new, high-quality GenAI features鈥攓uickly and securely, aligned to its听Data and AI Ethics Principles.

成人VR视频 has both trusted, proprietary, content knowledge-based models, as well as a portfolio of workflow-embedded software tools, all brought together through its one-of-a-kind GenAI engineering platform. This common development platform enables the company to design, build, and deploy reusable GenAI components that become the building blocks for future skills and products, positioning the company to deliver on a vision for enabling professionals across multiple industries to seamlessly complete complicated work involving multiple products through a single GenAI assistant.

Availability

• Westlaw Edge UK with CoCounsel is available to customers in the UK.
• Checkpoint Edge with CoCounsel is expected initially in the United States, starting from summer 2024.
• CoCounsel Integrations with Microsoft 365 are expected to be available in BETA to customers in the USA and UK from summer 2024.
• Further roll out of CoCounsel skills are expected across 2024 and beyond

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