Remco Visser and Knut-Magnar Aanestad Empower Legal Teams with AI at Saga
Remco Visser and Knut-Magnar Aanestad, Legal Engineers at Saga
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Legal Engineers at Saga
Remco Visser holds a Master’s degree in Finance from VU Amsterdam and is dedicated to advancing AI and data analytics in the legal sector. His strong focus on innovation has led him to lead numerous transformation projects for prominent law firms and legal departments, where he has applied his expertise in data analytics, legal tech, and generative AI.
As part of the team at Saga, Remco leads AI training and adoption programs that help law firms navigate the complexities of generative AI integration. He collaborates closely with clients to develop tailored solutions that meet their operational needs and ensure that AI tools are deployed in secure, controlled environments. His hands-on, practical approach has made him a valuable partner for clients looking to adopt innovative solutions that drive operational efficiency.
Remco is passionate about supporting clients in optimizing their processes, helping them realize the benefits of AI in legal work. He is recognized for his ability to bridge the gap between technical expertise and practical application, making complex AI tools accessible and actionable for clients.
Knut-Magnar Aanestad is a pioneer in legal innovation, with over 25 years of experience in digital development and legal engineering. Starting his career at the Norwegian Research Centre for Computers and Law, he quickly developed an interest in the transformative potential of technology within the legal sector. His expertise spans data protection, privacy law, and the application of technology in legal contexts, making him a sought-after thought leader and keynote speaker.
Knut-Magnar’s career includes roles at several top-tier Norwegian law firms, where he held positions focused on technology and innovation management. His in-depth understanding of artificial intelligence and its applications in legal delivery has led him to work with numerous global clients, promoting efficiency and modernization within legal practices. Known for his commitment to redefining the legal landscape, Knut-Magnar collaborates with organizations to implement AI-driven solutions that enhance client service and operational performance.
His approach is driven by a belief that technology can fundamentally improve the practice of Law. He works closely with clients to design AI applications that address their unique needs, promoting change that is both practical and sustainable.
Transcript
Our mission at Saga is to help legal professionals, improve the quality of their work, but also to help them work more efficiently. Saga is different from the competition because we really focus on the user. So the legal professional instead of just technology. One of the challenges of working with legal work is that you have a lot of different data sources from your emails, prudence, your contracts.
You want to get it all together into one database and preferably a vector database if you work with AI. And DataStax helps us to get that vector database up and going and then get all the information from, from our customer into the same vector database. And our end user benefits really from having it all together and then use AI on top of that. Then they can make an overview of their case by their prompts. Astra as a vector database helps our customer because it opens up the possibility to use large language models on a large context.
Because then we do vector search and then retrieve what's relevant and then send that to the large language model that then produces the relevant information back to the lawyer. Well, it's really important because they don't work with documents only that are like 150 pages or what they work in a larger context.
We need to see a lot of documents and a lot of data in relation at the same time. And with the current capabilities of the large language models, we need to have that kind of database and that kind of technology in order to create relevant answers back to the user, the lawyer. The advantages of vector search and databases with vector search is that it can handle a lot of information and then retrieve the most relevant information that is provided in the answers for the lawyers.
So they can actually retrieve and, and work with a lot of information at the same time. So we work internally a lot with AI to build our platform quicker. Our development team loves to work with these AI code agents or vibe coding out of the box. There's already a lot of amazing functionality, for example vector search or hybrid search.
But we also work together to make it more customized to our customers in the legal world. And they use it mostly for reviewing, drafting, summarizing, proofreading, create an overview of your case or to get tested on your arguments. What we do is we try to really work together with the law firms and legal professionals into integrating AI into their daily work.
So instead of just pushing a technology, there were various reasons why we landed on DataStax. One of the reasons is the model that offer the lawyers a lot of context in the app. It scales really well and it performs really well.
And then I think one really important, important part is the way that we're able to work with you. We work as one team. We're an ecosystem company, so we want to create stuff together with all our partners, with our clients. That's the way things really get better.