Systems · Data · AI
Your team can do more. Let's figure out how.
Data everywhere. Tools that don't talk to each other. People doing the same work twice because the systems weren't set up to connect. The people who could fix it are already working full-time and then some. Sometimes it helps to bring in someone from the outside to work through the analysis together.
That's what this is about — enabling your teams to perform at their best, and doing the analysis together to figure out what changes are feasible.
I'm Clay Cash. I've spent 30 years working with teams on data, systems, and operations — 20 of those years in legal, where getting it wrong isn't an option. These days, the work is focused on helping organizations get ready for AI by making sure the foundation underneath it is solid.
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New
AI Operational Readiness Assessment →
A hands-on look across your business groups, workflows, and tools — including a financial analysis of what improvement actually looks like in real numbers. You get a plan. Not a pitch.
On-site or remote. 30 years of experience.
The Opportunity
Here's what's possible right now.
AI works best when your data is in order.
The teams seeing the best results from AI aren't the ones with the biggest budgets. They're the ones who got their data organized first. Connected their tools. Made sure everything was in one place. That's a step anyone can take.
All that stuff you've saved? It's actually useful.
Emails, contracts, documents, spreadsheets — you've been saving it all for years across a dozen different places. With the right setup, all of that becomes searchable and connected. You already own it. Let's make it work for you.
Good systems make everything easier.
When people can find what they need, when tools work together, and when data flows without someone manually moving it around — everything gets better. Faster decisions. Work done right the first time. Lower costs.
The Approach
Strong foundation first. Then build something great.
The approach is straightforward: work with your team to understand what you have, figure out what's working and what isn't, and build on the foundation that's already there. The goal is a continuous improvement framework that your team owns — so they keep adopting the best new tools as they come out, long after the engagement is done.
This isn't a big-firm engagement with a squad of junior analysts. It's a focused, experienced evaluation — working directly with your people to figure out what's feasible and what makes sense for your organization.
In Practice
What this looks like for your team.
Automated workflows inside your systems.
Not another tool to log into. AI workflows built within the platforms your team already uses — monitoring incoming work, preparing deliverables, running quality checks, and surfacing what matters most. Your people keep working the way they work. The system gets smarter around them.
Overnight quality control.
AI agents that review work product while your team sleeps — checking consistency, verifying completeness, and confirming compliance. They know when to stop and ask a human before proceeding. By morning, your team has a clean report of what was verified and what's ready to go.
One governed foundation.
All data flows through a single, auditable architecture. Every team works from the same source of truth. Every workflow connects to the same foundation. Defensible, traceable, and built to support your best work.
The tools keep changing. The work stays the same.
From database systems in the mid-90s through client-server, web, cloud, and now AI — the tools have evolved, but the nature of the work hasn't changed: large-scale systems, complex data, and teams that need things to work under pressure.
The current focus is AI-assisted workflows for legal operations — production systems that run overnight, handle quality checks, and know when to stop and ask a human before proceeding. That experience with real-world automation is what informs the assessment work.
Try the ClayBot →
Ask me anything about legal data challenges, how AI can help your team, or Clay's background. Powered by Claude.
Let's talk about what you're working on.
Whether it's AI readiness, connecting systems that don't talk to each other, or just figuring out what's feasible for your team — happy to have the conversation.