The generative AI-driven solution enables UK legal professionals to find the best starting point from their own databases or Practical Law templates, use content from Practical Law alongside their legal department鈥檚 or firm鈥檚 contract repository to draft or revise clauses, leverage Practical Law contract playbooks, and correct common drafting errors. It uses AI to refine and review documents, producing more accurate, higher-quality work 鈥� without leaving Microsoft Word.

I recently shared a CoCounsel Drafting demo with 鈥檚 Richard Tromans.

鈥淭he offering has been especially shaped for legal needs here and will directly engage with TR鈥檚 contract data in Practical Law,鈥� Tromans said in .

I highlighted CoCounsel Drafting capabilities and features for Tromans, and we discussed how 鈥淟LM-supported drafting could be truly transformative.鈥� We talked about how users will be able to use the large language model (LLM) to modify a clause, for example, and how CoCounsel Drafting uses generative AI grounded in retrieval augmented generation (RAG) to access聽Practical Law content and notes.

We also discussed how CoCounsel Drafting delivers a level of detail similar to what a junior associate may produce when asked to draft a contract. I noted that CoCounsel Drafting allows customers to use their own playbook to draft a preferred set of terms for any contract type or use a Practical Law playbook for a range of popular contract types.

Finally, Tromans and I discussed integrations 鈥� with HighQ and with document management systems (DMS) including iManage 鈥� as well as security.

On the other side of the pond, U.S. customer feedback on CoCounsel Drafting, which we introduced earlier this year, has been overwhelmingly positive. I hope that UK legal professionals are equally pleased with the time savings and productivity increases CoCounsel Drafting offers.

As a former lawyer turned AI product leader, I’ve lived the pain of tedious legal tasks firsthand. That’s why I’m passionate about harnessing generative AI to transform legal drafting. I know how much time and energy gets wasted on repetitive tasks, taking away from the work that really matters. Now, I’m excited to help lawyers reclaim that time and focus on what they love 鈥� whether that’s helping clients, developing strategy, or simply enjoying a better work-life balance.

You can learn more about CoCounsel Drafting , and check out Tromans鈥� blog .

This is a guest post from Rawia Ashraf, vice president of Product Management, 成人VR视频.

GenAI technology has proven its readiness, but pressing questions now revolve around ethics, and governance. As companies rush to implement AI solutions, it’s vital we consider how we implement AI.

Keeping humans in the loop is a key aspect to our strategy employed in our responsible AI practice at 成人VR视频. Human-in-the-loop is critical at every stage: design, development, and deployment. For instance, we require developers and product owners to include the details of their human oversight process in the model documentation template. Post-deployment, teams are dedicated to human-in-the-loop training and monitoring.

Human involvement is also crucial when considering the AI models performance, including tracking model drift and overall performance metrics. We have hundreds of advanced subject matter experts review the outputs of our AI systems. User feedback, gathered through human reviewers, helps ensure that our models continue to perform as intended.

Beyond improving the technical aspects of AI systems, keeping humans in the loop serves another vital purpose: it reassures our workforce that they remain critical to the company’s success. As we navigate the AI future, it’s important to remember that every technological advancement throughout history has required us to strike a balance between human skills and new tools. AI is no different. By keeping humans in the loop, we can leverage the strengths of both human intelligence and AI, optimizing our processes while maintaining the critical elements of human judgment, creativity, and ethical oversight.

It’s not just about making our AI systems more accurate or reliable, it’s about creating a future where technology enhances human capabilities rather than replace them. That’s the kind of responsible AI implementation we should all strive for.

For more on the importance of responsible AI and human-in-the-loop review, check out my interviews in and (subscription required).

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 聽鈥� 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.聽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聽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.