Complete AI Training
Sign inGet my AI kit

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

AI news ·

LexisNexis launches customer lab to boost product development and AI collaboration with AWS and OpenAI

LexisNexis launched a Customer Lab with AWS and OpenAI to speed legal AI product development. The lab gives teams direct user feedback and early access to new models.

1 min read
Product development

LexisNexis has launched a Customer Lab to accelerate product development and deepen collaboration with AI providers including Amazon Web Services and OpenAI. The lab gives product teams direct access to user feedback and emerging AI models, aiming to speed up how legal technology products incorporate new capabilities.

How the customer lab works

The lab is designed to work with both end users and AI developers. LexisNexis will use insights from customers to guide product improvements while also testing new AI models from partners. The company said it wants to keep up with new models that could be folded into its legal products.

For product development professionals, the setup creates a structured feedback loop. Instead of relying on market reports or delayed user surveys, teams can observe how lawyers and legal researchers use features in real time. That direct input is meant to shorten the cycle from idea to release.

Collaboration with AI developers

LexisNexis is working with Amazon Web Services and OpenAI to stay current with rapidly changing AI models. The company said the partnerships will help it evaluate and integrate Generative AI and LLM capabilities as they emerge. Both AWS and OpenAI provide model infrastructure that LexisNexis can plug into its existing legal research and drafting tools.

This is not a one-time integration. The lab is structured as an ongoing relationship, meaning product teams can continuously test new model versions without renegotiating contracts or rebuilding pipelines.

Why this matters for product development

For product development teams building in regulated industries like law, access to the latest AI models is often bottlenecked by security reviews and data privacy requirements. The Customer Lab AI for Product Development approach removes some of that friction by pre-vetting model providers and creating a sandbox where users and developers can experiment together. Product managers and engineers who attend lab sessions can see exactly where a model fails or surprises a lawyer - and use that to prioritize the next sprint. The lab also means LexisNexis can ship features tied to new OpenAI or AWS releases weeks or months faster than competitors who start from scratch each time.

Share