Blog posts

As AI adoption continues to accelerate, organizations are increasingly relying on Large Language Models (LLMs) to power intelligent applications—from chatbots to copilots to knowledge assistants. But building an AI system is just the beginning. One of the most critical, yet often overlooked, aspects of the AI development lifecycle is evaluation: understanding how well your system performs, identifying failure modes, and making informed decisions about models, prompts, and architecture.

At ClearPeople we are minding the GAPS (Governance, Accuracy, Prompt controls, Sustainability) in AI. In this post we discuss the value of AI governance and how Atlas Fuse makes this happen.

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.

With Microsoft SharePoint 2019 (SP 2019) reaching the end of extended support on July 14, 2026, organizations in legal and professional services must proactively plan their migration strategies to avoid security vulnerabilities and operational disruptions.

Atlas by ClearPeople, has a remarkable track record of customer satisfaction, consistently maintaining a CSAT score between 95% and 100%. This level of excellence doesn’t happen by accident—it’s the result of our Success Team’s commitment to delivering world-class service and exceptional support. But what’s the secret behind the success of Atlas? Why do our clients consistently rate us so highly?

One of the significant transformations in legal operations will be the rise of modern, intelligent and integrated extranets for client collaboration. The competitive legal market of 2025 demands more than expertise by the hour, it requires innovation in client service.

We’ve worked with law firms across different continents and have seen firsthand how keeping up with data residency regulations can feel like an uphill climb. Every region has its own strict requirements, and the last thing any firm wants is to risk compliance issues—or worse, lose client trust. Fortunately, Microsoft 365’s Multi-Geo capabilities offer a smart way to tackle these challenges head-on.

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.