iManage Innovation, Technology & Agility

How is your team integrating AI and ML into the product development process, and what specific improvements have you seen as a result?

Businesses understand that data is critical to success and the future, but the vast amount of data flowing through these organizations every day can often overwhelm rather than empower knowledge workers. At iManage, we focus on integrating AI into our products to directly address this challenge. Our AI solutions are designed to cut through the noise and activate the collective knowledge stored within the world’s top knowledge work organizations, enabling knowledge workers to access insights in seconds, whether it’s knowledge assets, such as precedents and guides, or the experts who created those assets. By embedding AI across our product suite, we ensure that this crucial knowledge is always at the user’s fingertips, allowing them to focus less on the mundane and more on their clients.

What strategies are you employing to ensure that your systems and processes keep up with the rapid advancements in AI and ML?

While AI is transforming the legal tech landscape, the core principles of understanding user needs and solving real-world problems remain constant. Our approach begins with a strong emphasis on information architecture before AI. This means we focus on building a solid foundation by carefully structuring and connecting data in a way that aligns with user needs. By doing this, we enable our AI-enabled products to deliver precise, actionable insights and ensure the right knowledge reaches the right person at the right time. 

Equally important is the continuous evaluation of the state-of-the-art. We constantly test the latest developments in AI to fully understand both its strengths and its limitations. This helps us design systems that take advantage of AI’s capabilities while addressing its weaknesses. By pushing the boundaries of what’s possible and refining our understanding of the technology, we ensure that we’re always implementing AI in a way that adds real value to our users. This combination of a strong data foundation and ongoing evaluation ensures that our systems are not only capable of keeping up with AI’s rapid evolution, but also provide practical, everyday solutions.

Can you share some examples of how AI and ML has directly contributed to enhancing your product line or accelerating time to market?

A prime example of how AI has transformed our product line is document enrichment. We use AI to automatically enrich every document uploaded to the DMS with crucial attributes, such as document category, parties, jurisdiction, key dates and more. This automated process not only makes documents far more searchable and provides users with immediate, context-aware results, but it also relieves our customers from the time-consuming task of manual data entry. 

By automatically structuring and connecting data, we ensure quality and enable knowledge to flow seamlessly through organizations. This allows our customers to unlock their collective knowledge, making it accessible across teams and departments, which enhances collaboration and drives smarter decision-making. In essence, we’re empowering organizations to make the most of their data, ensuring that it’s not just securely stored, but also actively used to create value.