Nextpoint AI In Action Webinar

How does Nextpoint's AI streamline litigation workflows?

Legal data has increased in both volume and complexity, calling for a new generation of technology that intuits and adapts to the intricacies of our modern digital world. Nextpoint's AI tools offer a solution that streamlines the litigation process without sacrificing the quality of discovery and case prep. Join this product spotlight with our partners at EDRM to see Nextpoint AI in action, including near-duplicate identification, new redaction tools, and machine learning features built into our EDA workflows. For more on avoiding common redaction pitfalls, see our webinar on sanctionable redaction errors to avoid.

• With near-duplicate identification, our advanced machine learning algorithms enable users to see similarities in their document sets and analyze these documents together.
• New redaction tools increase speed and accuracy in removing confidential information.
• Our EDA tools now includes a set of machine learning features that transform unique types of data into searchable sets so that no piece of evidence is overlooked.

Talk of AI chatbots and image generators has flooded the internet – and the legal tech world. But these GenAI tools have a long way to go before they can be a strong asset for legal teams. Nextpoint’s AI technology utilizes trusted algorithms that have been developed and tested specifically for legal cases, complete with comprehensive security measures and quality controls. With our AI tools, you’ll see tangible solutions to the challenges you’re facing today.

At our product spotlight with EDRM, members of our product team and Nextpoint Law Group will walk through these solutions and explain how Nextpoint’s AI tools can help you streamline your workflows and maximize efficiency. You’ll also get to hear insights from Rakesh Madhava, our founder and CEO.

Who is it for?

Attorneys, litigation support managers, and paralegals curious about how purpose-built AI — not generic chatbots — can streamline document review, redaction, and early data assessment.