By Chelsey Lambert, Co-Founder & Co-CEO, Legal Tech Decoded

An attorney opens Word to revise an agreement. A paralegal works through the correspondence that arrived overnight. A managing partner wants to know which matters need attention before the weekly meeting. They are all working on the same clients, but the information each person needs may be scattered across email, documents, and the firm’s practice management system.

Adding AI should make that work easier. Asking everyone to copy the same information into another application, explain the matter again, and move the result back into the original system can create another layer of work.

Law firms now have more choices about where AI lives. A legal AI console such as LOIS can provide a place to ask questions and work with connected matter information. An embedded assistant such as Qanooni can bring legal AI into Word and Outlook. A case management platform such as Clarra can make its information and supported actions available to connected AI tools through Model Context Protocol, or MCP.

The opportunity is to layer legal-specific AI onto the tools your firm already uses, with access to the context that makes the work meaningful. The right choice depends on where your team works, what information it needs, and how much of the surrounding workflow you want to connect.

The interface matters because adoption happens during real work

For a lawyer who has spent years drafting in Word and communicating in Outlook, a familiar interface has practical value. The document is already open. The correspondence is already there. An AI assistant that works in that environment can reduce the steps between identifying a problem and reviewing a proposed solution.

Consider a contract revision. The attorney needs the latest draft, the client’s instructions, and the position the firm accepted in an earlier negotiation. A useful AI workflow brings those materials into the review, proposes changes, and lets the attorney assess the language in context. The benefit comes from the connection between the task and the supporting information.

For the paralegal, the priority might be assembling a reliable matter summary before a call. For the attorney, it might be testing a draft against the record. For the managing partner, it might be making a useful process repeatable across the team. One firm can have several AI needs without requiring every person to work through the same interface.

LOIS brings the AI conversation closer to the matter

Our Filevine core platform and LOIS reviews explore two related parts of that picture: the operational system where matter information is organized and the AI experience that can help a team use it.

In the demonstrations covered in our reviews, Filevine showed configured matter phases generating follow-up tasks, while LOIS supported work such as drafting and redlining in Word, preparing deposition materials through reusable Skills, and identifying deadlines from a scheduling order. These examples illustrate how connected information can support the next step in a matter, with people reviewing the proposed work.

Think of the console as a coordinated place to work with AI while the connected systems supply the underlying information. Its usefulness depends on what it can access and which actions the chosen setup supports. Firms evaluating LOIS independently of Filevine’s core platform should confirm those connections and capabilities for their own environment.

For a litigation team, the practical question is whether the assistant can work from the relevant records and return an answer the attorney can verify. For staff, it is whether the output makes the handoff clearer. An impressive answer has limited value if someone still has to reconstruct its source or manually recreate every follow-up step.

Qanooni meets lawyers inside Word and Outlook

Qanooni takes the familiar-workspace approach directly into Microsoft 365. Its positioning centers on legal work inside tools such as Word and Outlook, with matter context informing the task. That gives firms another route to AI adoption: keep the workspace people know and add legal-specific assistance within it.

According to the product background shared with us, the team spent approximately nine months speaking with practitioners across the United States, United Kingdom, and Europe before building, including solo firms and major international practices. Three priorities emerged from that research: integration with daily workflows, intelligence that accumulates around a matter, and stronger control over data sprawl.

Workflow integration starts with the lawyer’s day. Someone reviewing a draft should be able to seek assistance where the drafting happens. Someone responding to a client should be able to work within the correspondence. The goal is to let lawyers work where they prefer, with fewer interruptions to established habits.

The second priority is compounding intelligence. In the product overview shared with us, Qanooni’s backend is organized around the matter, with context graphs, precedents, playbooks, and preferred positions intended to persist over time. The idea is that useful firm knowledge remains available for the next task, rather than disappearing at the end of a conversation.

Imagine a team negotiating a recurring contract provision. A new associate needs more than a generic explanation of the clause. They need the client’s objectives, the firm’s preferred language, and the fallback position already discussed. When those materials are available to the assistant, the starting point can become more relevant. The lawyer still decides what belongs in the document.

The third priority is limiting unnecessary copies of client information. Qanooni’s stated design direction is to work with existing systems of record, including Microsoft 365 and Actionstep. That is a useful purchasing question for any connected AI product: which information stays in the source system, and which content, indexes, or temporary copies are processed or retained elsewhere? A familiar interface alone does not establish the answer.

Clarra connects AI to litigation operations

Clarra illustrates another option: bringing AI connections into case management itself. The company’s August 2026 announcement described an MCP server with more than 120 tools and an integration with Claude Cowork. MCP provides a standard way for compatible AI applications to access supported information and actions in another system.

For a firm, the significance is the connection between a question and the operational record. An approved assistant can potentially do more than read an exported document when the platform exposes the relevant capabilities. The firm should test the specific actions it needs, the permissions applied to them, and how changes are reviewed and recorded.

Clarra Exchange addresses the related challenge of collaboration across organizations. Its launch materials describe shared litigation workspaces for authorized participants, including co-counsel, clients, and experts, with controls over matter information and documents. That could help a team coordinate around current information while managing who can see it.

Reusable AI Skills and shared litigation workspaces solve different problems. A Skill can capture instructions for recurring work; Exchange’s documented role is controlled collaboration around litigation. Both point toward a broader need: making useful knowledge accessible to the right people without losing control of the underlying information.

Ready for legal work still requires your firm’s context

Legal-specific AI can arrive with capabilities designed for drafting, document review, matter analysis, and other familiar tasks. A firm may be able to begin using those capabilities without building or training its own AI model. That is a meaningful change in accessibility.

But legal readiness and firm readiness are different. The assistant still needs the right sources, approved access, and any relevant firm standards. Connecting documents so an AI can reference them is also different from using those documents to train a model. Firms should understand which approach a provider uses and what its agreement permits.

The same distinction applies to people. Working inside Word can reduce the amount of interface training required. It does not eliminate the need to teach users how to select sources, evaluate output, and recognize when a question requires further research or professional judgment.

Connected can support better control when the design earns it

A governed AI workflow can give firms a more controlled alternative to employees independently copying client information into unrelated applications. It can also make answers more useful by bringing relevant records closer to the task. Those are potential advantages to verify in the proposed deployment.

Ask the provider to show the data path. Who can access the matter? Where is information processed? What is retained? Can users inspect the sources behind an answer? Which actions require approval? The answers should be specific to your subscription, integrations, and configuration.

Then test a real workflow. Have a paralegal prepare a matter update, an attorney review a draft against selected source materials, or a practice leader evaluate a repeatable preparation process. Look at the quality of the result and the amount of work required to check it. That is where the value becomes visible.

Choose the working environment that fits your firm

Some firms will prefer a console that coordinates AI work across connected information. Others will see the clearest starting point inside Word and Outlook. Firms reconsidering their operational platform may prioritize how case management connects to AI and supports collaboration.

You have choices. Start with the work your people already do well, identify the friction around it, and ask how legal AI can help inside that environment. The goal is to give the team a more informed starting point and a clearer path from information to action.

If you would like help evaluating where legal AI belongs in your firm, begin with our Legal AI-Q Literacy Assessment or schedule a consultation with Legal Tech Decoded. We can help you define the use case and the questions that will make your next demonstration more useful.

Related reviews and product resources

Filevine core platform product review

LOIS product review

Qanooni product overview

Qanooni security and data privacy

Clarra MCP announcement

Clarra Exchange

Additional source: CLA-26 Exchange Press Release FINAL, dated October 8, 2026. Qanooni research history and the three product priorities are attributed to the product overview shared with Legal Tech Decoded.