Blog posts

As law firms increasingly adopt AI to enhance research, drafting, and decision-making, robust AI governance becomes essential. A well-structured AI governance framework ensures that AI systems operate securely, ethically, and in compliance with legal and regulatory standards. From safeguarding client confidentiality to maintaining data accuracy, governance frameworks help firms mitigate risks while maximizing AI’s potential. By implementing clear policies, oversight mechanisms, and security protocols, law firms can harness AI’s power with confidence—enhancing efficiency without compromising trust.

The successful integration of artificial intelligence (AI) into legal practices isn't solely about leveraging advanced AI tools—it's fundamentally about establishing robust governance.

As Product Director of Atlas, I've seen first-hand how AI technologies like our Intelligent Knowledge Studio are revolutionizing the way law firms operate. This innovative platform empowers authorized users to create specialized "knowledge collections," ensuring that information is accurate, relevant, and authoritative. 

What are ways to reduce the environmental impact of using AI? If you’re committed to AI and you’re committed to reducing your carbon emissions, then you’re going to face something of a conundrum. All the main cloud providers have reported significant increases in their category three emissions due to data center expansion and the inherent inefficiency of current AI processors and models. Just recently DeepSeek claimed that its model was trained for far less cost and with fewer resources, but it’s very difficult to verify the claims and, in any case, the model was trained on the output from current LLMs such as Chat-GPT 4, so the power had already been consumed elsewhere.

The euphoria around AI and its promise of productivity in organizations has passed its peak of hype. With a solid year and a half of AI experience under their belts, CIOs now understand that AI is not the panacea it first appeared to be. Initially, it seemed like an instant miracle, but simply bolting ChatGPT onto enterprise systems didn’t cut it.

As businesses increasingly adopt AI, the need for thoughtful, strategic implementation becomes critical. One promising approach gaining traction is Composite AI, which offers practical solutions to some of the most pressing challenges associated with large language models (LLMs). From reducing energy consumption to minimizing biases and misinformation, Composite AI provides a more controlled, efficient, and reliable way to leverage AI in business. 

If you’ve heard about SharePoint agents—or are just stumbling across them for the first time—you’re in the right place. In this blog, we’ll cover what SharePoint agents are, what they can do for your organization, their availability, and what you need to know about pricing and more.

What is ethical AI and why is it so important?

This blog explores how legal and other professionals can effectively manage AI data challenges to enhance productivity and accuracy.

Best Practices for Prompting AI Models with RAG Systems Connected to Enterprise Data 

Unlock the full potential of your AI assistant with advanced contextual understanding—transforming user interactions into personalized and dynamic experiences.

Explore the transformative role of Knowledge Hubs in leveraging artificial intelligence to streamline information and enhance learning.