USE CASES

Real-World AI Agents, Applied to Your Operations

Explore practical use cases where AI agents take over repetitive, time-sensitive, and operationally complex work.

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Deployment Services

OpenClaw for Law Firms

We deploy and install OpenClaw for law firms—secure tunneling and compute included. Your agent lives on your Mac mini or laptop, installed via official CLI and configured to survive reboots with full gateway verification. We lock it down so nothing touches the public internet while it screens inbound leads against your criteria 24/7. No manual review. No missed opportunities.

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Deployment Services

OpenClaw for Law Firms

We deploy and install OpenClaw for law firms—secure tunneling and compute included. Your agent lives on your Mac mini or laptop, installed via official CLI and configured to survive reboots with full gateway verification. We lock it down so nothing touches the public internet while it screens inbound leads against your criteria 24/7. No manual review. No missed opportunities.

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RL as a Service (RAAS)

Ground Truth Data

We deploy a dedicated team of licensed attorneys to review your agent's legal interactions, document errors and corrections, and deliver structured training packets optimized for reinforcement learning. Customized to your model architecture and use cases. Weekly or monthly delivery cycles.

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RL as a Service (RAAS)

Ground Truth Data

We deploy a dedicated team of licensed attorneys to review your agent's legal interactions, document errors and corrections, and deliver structured training packets optimized for reinforcement learning. Customized to your model architecture and use cases. Weekly or monthly delivery cycles.

Explore case study

FAQ

FAQ

Frequently Asked Questions

Frequently Asked Questions

What exactly is an AI agent in this context?

An AI agent is an autonomous system designed to handle specific business tasks end-to-end. Unlike simple chatbots, AI agents can reason, take actions, integrate with tools, and follow defined workflows. In Agent OS, agents are built to operate reliably in real business environments, not as demos or experiments.

How is this different from a chatbot or no-code automation?
Can these agents integrate with our existing tools and systems?
How reliable and secure are AI agents in production?
Who is this template built for?



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© 2025 LexiOS. All rights reserved. 

© 2025 LexiOS. All rights reserved.