Blog Post

Legal AI is now a competitive advantage for law firms. Harvey is now used by more than 100,000 lawyers across 1,300-plus organizations. CoCounsel, Thomson Reuters’ assistant, is wired directly into Westlaw and Practical Law. Platforms like Litify, Clio, and RingCentral are layering AI into the systems firms already run every day.

But here’s what the vendors won’t tell you in the demo: AI readiness for law firms has almost nothing to do with which tool you buy. It has everything to do with whether the systems underneath it are clean, connected, and secure enough to trust an AI on top of them.

The best legal AI pointed at messy data, disconnected systems, and loose security will only multiply your problems faster. Before your firm signs up for any of these platforms, the foundation is what determines whether you get value or a very expensive disappointment.

Popular legal tech platforms today

Look at what some of the law firms we work with depend on:

Harvey and CoCounsel generate research, summaries, and first drafts — but their output is only as good as the documents and matter data you feed them. Garbage in, confident-sounding garbage out.

Litify runs on Salesforce and unifies matter management, intake, billing, and documents into one system, with AI built in. Its value comes entirely from having your data structured and centralized in the first place — Litify’s platform is built on Salesforce, AWS, and Anthropic infrastructure.

Clio brings AI into practice management through Clio Duo, but it can only reason over the matters, contacts, and time entries you’ve actually kept organized in it.

RingCentral adds an AI layer (RingSense) that transcribes and analyzes client calls and can even route inbound calls automatically. It’s a powerful system, but only if it integrates cleanly with your case management system for tracking messages and notes. RingCentral integrates with Clio, Litify, and other legal platforms.

Every one of these tools assumes something about your firm: that your data is organized, your systems talk to each other, and your security can withstand pointing an AI at privileged client information.

How to avoid stalling on AI projects

Readiness isn’t a mindset. It’s four concrete conditions, and you can check your firm against each one:

• Clean, structured data. AI is a reflection of what you give it. If your matters live half in a case management system, half in email, and half in a shared drive named “Documents_FINAL_v3,” an AI tool will surface the wrong version, miss context, and produce answers you can’t rely on. Getting your matter data consolidated and consistent is the unglamorous work that makes every AI feature above actually perform.
• Systems that connect. The real payoff comes when your phone system, case management, document storage, and research tools share information instead of sitting in silos. That requires deliberate integration and, often, a cloud foundation built to support it. Sorting out which systems you need and how they fit together is exactly the kind of planning a virtual CTO exists to do — mapping your tools to your workflow before you spend on licenses.
• Security that can hold privileged data. This is the one that should keep managing partners up at night. Feeding client information into an AI tool raises immediate questions of confidentiality, privilege, and your ethical duty to protect client data. That means enforced multi-factor authentication, controlled access, clear data-handling rules, and knowing exactly where client information goes when a tool processes it. AI readiness and strong cybersecurity and data protection are the same project — you cannot responsibly do the first without the second.
• A modern cloud backbone. Most of these platforms are cloud-native and expect you to be too. A firm still anchored to an aging on-premise server and a patchwork of local files will fight the tooling at every step. A properly configured Microsoft 365 and cloud environment gives AI tools the secure, accessible data layer they’re designed to work with.

Establishing the right technology foundation

The firms getting real value from legal AI started by getting their house in order. They consolidated data, integrated systems, tightened security, and then layered AI tools on top. The firms struggling started with a subscription and discovered the hard way that AI can’t fix a broken foundation.

You don’t need an in-house IT department to get there. Many firms handle this through a co-managed or outsourced IT partnership.

Schedule an AI Readiness Assessment

Before your firm commits to Harvey, CoCounsel, Litify, Clio, RingCentral, or anything else, run a simple AI-readiness check: Is our matter data clean and centralized? Do our core systems actually connect? Can our security stand up to privileged data flowing through an AI? Are we operating in a modern cloud environment? If the answer to any of those is no, that’s where the real work is.

Eclipse Networks helps law firms build that foundation, from organizing and securing data, integrating case management and communications, to standing up the cloud and security environment that legal AI depends on. If you’re weighing an AI platform and want to know whether your systems are actually ready for it, schedule a consultation and we’ll help you build the base before you buy the tool.