When Fisher Phillips, a leading U.S. employment law firm, deployed Casetext’s CoCounsel, the results were immediate and transformative. Tasks that had once required hours of combing through case law and drafting first-pass memos were completed in minutes.

Understanding what RAG can do is one thing. Understanding how it actually works is another. For technical teams tasked with implementing AI solutions, and business leaders evaluating vendor proposals, knowing the architecture beneath the surface makes the difference between a system that transforms operations and one that disappoints.

Your sales team needs to know if a product warranty covers water damage. Your compliance officer wants to verify whether a new regulation affects your operations. Your customer support agent is looking for the exact troubleshooting steps for a rare technical issue.

Lineate, the global software development company, today announced that it has been recognized as an AWS Advertising and Marketing Technology Competency Partner. This designation highlights Lineate’s adherence to best practices and its proven track record of successfully delivering AWS services to end customers.

When some communication tools offer to use AI to compose responses, it can make you cringe. Not because the responses aren’t good, but because it seems to imply that the hard part of communication is just generating words. Lineate CEO, Ben Engber, explains why this matters.

At Lineate, we’re often asked how our approach compares to out-of-the-box AI solutions. The answer is simple: we leverage and extend AI and machine learning models to create relevant business functionality. Most generative AI models people talk about are trained on the internet at large and rely on that generic knowledge, plus whatever you provide in a prompt, to generate answers. For anything beyond very basic use cases, organizations need additional integration and configuration to make AI truly business-aware.

As we embarked on our mission to challenge AI to beat us at every aspect of software development, we quickly realized that most companies are thinking too narrowly about AI's disruptive potential. While others focus on AI as a coding assistant, we needed to reconceptualize the entire value chain and define a methodology for systematically replacing ourselves.

Generative AI isn’t just hype. It’s a disruptive force that’s already reshaping software engineering. At Lineate, AI is built into every stage of the development process. The team has identified 14 areas where AI can transform engineering and is doubling down on the five that deliver the most immediate impact.