Twelve months later, the collaboration between 成人VR视频 and Safe Sign continues to be one of the most exciting engines of innovation in our company. Together, we are building a foundation for the next era of professional-grade AI: one that combines frontier research, trusted data, and deep domain expertise.

Since joining 成人VR视频, the Safe Sign team has become part of one integrated research organization within TR Labs, now known as鈥疐oundational Research. What began as a 15-person startup has grown into a 50-person global group that works seamlessly alongside our engineers, data scientists, and subject-matter experts across legal, tax, accounting, and compliance. Together, we are combining frontier research talent and deep domain expertise to accelerate development of the鈥扇薞R视频 large language model, trained on professional-grade data and purpose-built for high-stakes work.

General-purpose models have unlocked incredible capabilities in language understanding and reasoning. But professionals work differently, and their tools must reflect that. Broad models are not optimized for the standards of accuracy, context, and accountability that legal and tax professionals require. They are powerful, but they are not precise.

A purpose-built model changes that. By training a purpose built LLM on decades of 成人VR视频 content and data, and by learning directly from thousands of subject-matter experts, our model can reason the way professionals do. It can connect facts with context, apply appropriate logic to specific scenarios, and provide grounded, verifiable output that supports confident decision-making. The result will be a model designed not for conversation, but for action and trust. A model that understands how real professional work gets done.

鈥淭his first year has shown what happens when world-class AI research meets trusted domain expertise,鈥� said鈥�, co-founder of Safe Sign and now Head of Foundational Research within TR Labs. Before joining 成人VR视频, Jonathan spent鈥痵even years as a senior researcher at Google DeepMind, where he helped pioneer methods in large-scale model training and neural optimization. 鈥淲e are combining deep technical innovation with the quality and structure of 成人VR视频 data,鈥� he said. 鈥淭hat partnership allows us to move faster, train smarter, and build something truly differentiated for the professional world.鈥澨�

The collaboration extends beyond our own teams. Through the new鈥�Frontier AI Lab with Imperial College London, co-led by Jonathan, we are tackling some of the most important challenges in AI, including safer model training, efficient evaluation, and the long-term societal impact of advanced systems. This partnership reflects our belief that responsible innovation begins with scientific rigor and openness.

All of this work is paving the way for what comes next. In 2026, we intend to bring to market the first 成人VR视频 large language model designed from the ground up for professional-grade performance. It will combine our trusted content, unique data architecture, and agentic AI capabilities to deliver accuracy, transparency, and reliability at scale.

We are building a future where intelligence is not abstract and relegated to the written word but applied and embodied via AI. An industry first, where AI becomes the operating layer for professional work. And where innovation happens not just in research labs, but in the hands of professionals who depend on 成人VR视频 to move faster, think smarter, and act with confidence.

In just one year, this collaboration has shown what鈥檚 possible when bold vision meets real鈥憌orld scale. The year ahead will push the boundaries of professional鈥慻rade AI and set a new benchmark for what the industry can achieve.

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

Below are five reasons this acquisition is a boon for our customers across all professions as we scale this technology across the 成人VR视频 portfolio.

1. LLMs are helping legal professionals conduct research more quickly and effectively, and Safe Sign Technologies brings expertise in training and developing specialized LLMs. Safe Sign Technologies has developed two legal specific LLMs. Based on our internal assessment, we believe Safe Sign鈥檚 models have demonstrated industry-leading performance across a number of domain-specific evaluations. By combining their early-stage technology and their expertise with our existing internal efforts, we hope to significantly accelerate our continued evolution as a content-enabled technology company.
2. We expect Safe Sign Technologies will help 成人VR视频 realize our CoCounsel vision even faster. CoCounsel is founded upon our ability to combine our data, expertise, and trusted content with cutting-edge technology. We expect this acquisition to help accelerate our ability to provide our customers with a professional grade AI experience through CoCounsel 听鈥� our genAI assistant 鈥� that enables professionals across industries to accelerate and streamline their workflows.
3. Alexander Kardos-Nyheim, Dr. Jonathan Schwarz and their team are strong additions to 成人VR视频. Co-Founders Alexander Kardos-Nyheim and Dr. Jonathan Schwarz built the Safe Sign Technologies team with top law and AI professors and researchers from Cambridge, Oxford, MIT and DeepMind. They have a world-class team comprised of tenured professors, AI scholars, mathematicians, coders and influential business leaders. Their mix of domain and technical expertise brings a highly unique perspective to the development of technology, which perfectly aligns with our content and technology strategy.
4. This is good news for 成人VR视频 customers. Specialized language models have the potential to significantly increase the speed and accuracy of genAI applications. The accuracy of AI models, including LLMs, is dependent on the quality of content that they are trained on. We believe bringing together Safe Sign鈥檚 expertise and approaches to training LLMs with 成人VR视频 trusted content and insights will help us deliver greater accuracy, quality and performance from our AI solutions that will continue to drive benefits for our customers.
5. This deepens our relationships with the academic and AI research communities. Safe Sign developed their AI system using cutting-edge and nascent research paradigms enabled by their strong academic connections.听Safe Sign focuses on deep-learning research with a particular emphasis on data-centric methods. As a result of this acquisition, we will be furthering our investments in the integration and development of these early-stage specialized language models, deepening our relationships with the academic and AI research communities, while continuing our听ongoing investments in building AI skills across our product portfolio.

Read the press release for more about this exciting acquisition and please join me in welcoming the Safe Sign Technologies team to 成人VR视频.