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Legal teams already use AI across contracts, research, and workflows, but adoption has outpaced understanding. This article explains how generative AI works, why risks like hallucinations, data exposure, bias, and accountability are unavoidable, and what responsible use looks like in practice. It translates bar guidance and real-world experience into concrete steps legal teams can take to adopt AI deliberately while keeping judgment, confidentiality, and professional responsibility in control.

When AI handles routine legal work, judgment becomes the scarcest resource. It's not abstract wisdom. It's filtering signal from noise, asking right questions, and knowing when to override algorithms. Lawyers must develop judgment systematically to deliver value clients will pay for.

AI reveals what lawyering actually is: not document review and contract drafting, but human judgment, empathy, and creative problem-solving that no algorithm can replicate.

Introduction AI agents represent a meaningful shift in how legal teams use technology. Traditional generative AI responds to prompts by producing content. Agents go further. They act. By combining language models with goals, tools, and memory, agents execute multi-step workflows across connected systems. For legal teams, this expands automation beyond isolated tasks into coordinated processes. Agents can review intake requests, extract key facts, validate deadlines against matter management...

Generative AI is already embedded in legal workflows, from contract review to intake and research. This article explains how generative models, AI agents, and multimodal systems actually work, where they add real leverage for legal teams, and why human judgment, review, and accountability must remain firmly in control.

Legal teams evaluating AI vendors typically focus on features and pricing, but three fundamental questions often get overlooked: Where is client data stored? Is that data used to train AI models? What happens when the relationship ends?

In most growing B2B companies, these two functions are bound together by necessity but separated by mindset. Sales is rewarded for closing new business. Legal is rewarded for preventing costly mistakes. Both are essential, yet their incentives and instincts couldn’t be more different.

People now expect AI to be in all the applications they're using. They know how to go to generic places like ChatGPT to use it in their personal life or for work. Where we're excited is how we can make it easy for them to find AI opportunities when they're doing legal work in their documents.

Artificial intelligence is reshaping how businesses handle contracts. While most people think of AI as a tool for drafting documents, the real shift comes after contracts are signed. For in-house legal teams across the Asia-Pacific (APAC) region, the focus is now on governance.

1. With the addition of vLex, how do you see this expanding Clio’s role in supporting legal professionals? With the addition of vLex ,...

12:08 PMTired of leaving legal tech conferences with business cards but no real connections? Discover why meaningful relationships matter more than constant travel in the legal technology ecosystem, and learn practical strategies for building genuine connections that drive innovation. From choosing quality events to creating intimate networking moments, explore a human-first approach to legal tech that puts people before platforms and empathy before efficiency.

By Chad Atlas The pace of progress in foundational AI is nothing short of explosive, and legal technology is feeling the impact in real...

La IA ya no es una promesa del futuro. Está aquí, presente en nuestras plataformas favoritas, transformando cómo trabajamos, creamos y colaboramos.

AI is fundamentally reshaping how the legal profession creates, organizes, and accesses knowledge. Historically, legal knowledge has been...

As I re-examine the legal technology ecosystem, I'm struck not as a mere collection of digital tools, but as a complex adaptive system reshaping the practice of law. Integrating AI technologies across previously disconnected domains is creating something I call the "integrated intelligence economy" – a new paradigm where data and insights flow across formerly isolated systems, changing the economics of legal knowledge and the organizational structure of legal service delivery itself.

AI tools in legal tech continue to advance, yet a gap between controlled demonstrations and real-world performance remains significant.

This article offers key insights and questions to consider when assessing GenAI solutions.

We are now at the stage of the AI revolution where even those of us living under a proverbial rock have heard of generative AI. The idea...

To develop truly useful AI software, you must involve a subject matter expert (SME) in its development. 

If technology can handle adeptly the more mundane tasks in a lawyer’s day, why will clients be inclined to pay humans to take more time to