Build a Custom Matter Management System with Parley and an AI Assistant
TL;DR
You can build a matter management system by configuring a legal-work platform such as Parley, rather than coding every component from scratch.
Parley organizes work through Accounts, Contacts, and Projects. You can use that record model as the starting point for your matter structure.
An AI assistant may help shape your workflows through configuration, but confirm Parley’s current MCP actions, assistant compatibility, and write permissions before expecting it to make changes.
You still need to review access choices, test the matter structure with real work, and check which document connectors support your repositories.
Build your matter management system on a customizable foundation
You can build a matter management system around your firm’s working practices by configuring Parley instead of coding an application from scratch. Parley provides a legal-work foundation with Accounts, Contacts, and Projects to organize organizations, people, and matters. You decide what information each matter needs, how work should move forward, and who should have access. Check which fields and workflow changes Parley supports before assuming your proposed structure is available.
Start with one common matter type and list what you need to see when someone opens it. You might need a responsible lawyer, the next action, and documents awaiting review. Some requirements may fit Parley’s existing records or its reusable instructions and templates. Others may need manual setup or a different approach. Review Parley’s security documentation and test access before adding client material.
Custom development lets you specify what to build, but you must also maintain the application and its integrations. Configuring Parley lets you test your matter structure on an existing platform without first building that software. You still need to set up records, check permissions, and validate the workflow. An AI assistant can help you describe the structure, but you should confirm its documented permissions before asking it to make changes.
Parley's record model: Accounts, Contacts, and Projects
A matter management system needs a way to connect the work you do with the people and organizations involved. Parley organizes records as Accounts for organizations, Contacts for people, and Projects for matters. For a matter involving a company and its representative, you could use an Account for the company, a Contact for the representative, and a Project for the legal work. The Project gives you a place to keep the matter’s context connected to those records.
That structure provides a starting point, while your practice determines what each matter needs to track. Parley documents practice-area-specific capabilities, but you should confirm which ready-made fields and configurable workflows apply to your work before asking an assistant to help shape them. You might want to record a matter’s responsible lawyer, current stage, and next review date, for example. Whether an assistant can create or change those fields depends on its documented access.
Access controls and sharing permissions also belong in your matter design. Before using a Project with client material, decide who should see its records and documents. The specific permission settings and what an assistant can change need separate verification against Parley’s security documentation.
How connected documents create traceable matter context
Parley can keep a matter’s documents connected to the people and organizations involved, so you can inspect evidence in the context of the work. Its record model links Projects, which serve as matters, with Accounts and Contacts. When you attach relevant evidence to a Project, you give yourself a route back to the material behind a draft or decision.
Parley documents connections with Google Drive, Dropbox, SharePoint, and Box for document sync. Check which files each connection brings in and who can access them before relying on the matter record. OneDrive support needs separate confirmation in current Parley documentation. Documented SharePoint support does not establish OneDrive support.
Documents alone may not explain why work changed. Parley also describes using email and meeting transcripts as matter context. If you capture those communications alongside the relevant evidence, you can follow more of the reasoning behind the work. That connected context could help ChatGPT or Claude answer a matter-specific question, but only if the assistant connection permits access to those records. Linked context should not be treated as proof of a complete or immutable audit log.
Setting up Parley and connecting an AI assistant
Start at Parley to find its current sign-up or access process. Once you have access, plan the records you need. Parley uses Accounts for organizations, Contacts for people, and Projects for matters. An Account record represents an organization, not your firm's login account.
Before adding client information, decide who can sign in, which matters each person should access, and what they may share. Your firm must review those security decisions. Do not delegate them to an assistant.
Connect an assistant only after you confirm the current instructions and access scope with Parley. The documentation supplied for this guide does not establish an MCP connection procedure, ChatGPT or Claude compatibility, or assistant write permissions. Ask Parley to confirm those details before granting access or following any connection steps.
Describing your matter structure to the assistant in natural language
Describe the matter structure you want in ordinary language, then ask the assistant to distinguish supported changes from requests that need manual setup. Parley organizes legal work around Projects, which serve as matters, and links them to Accounts and Contacts. You can use those records as the starting point for a practice-neutral request.
For example, you might say, “For each matter, I want to record the responsible lawyer, matter type, next deadline, and current stage. I want stages for intake, active work, and closing. Link each matter to the relevant client and contacts. Tell me which parts Parley supports, and ask before changing anything.” You are describing working practices, not writing code or scripts.
Review the assistant’s response against a sample matter before you accept any proposed structure. If your work needs separate deadlines for client documents and internal review, say so and ask how Parley would represent each one. Repeat the conversation until the proposed fields and stages match how you actually work.
Do not assume the assistant can make those changes. The supplied product documentation does not establish which MCP actions are available, whether ChatGPT or Claude can use them, or whether an assistant has write access. Confirm those capabilities in current Parley documentation before following an assistant-led configuration step. You still need to decide who may see or share each matter, configure available permissions, and verify any changes the assistant makes.
Testing and iterating on your configured system
After you configure your matter structure, test it with a representative matter before relying on it for client work. Create a Project, link the relevant Account and Contacts, and enter the information your practice needs at intake and during later work. Compare the available fields with your requirements and record anything you cannot capture clearly. Parley documents practice-area features, but you still need to check whether they cover your work.
Test permissions with the people who will use the matter. Ask an authorized colleague to open the Project and its documents, then check that someone outside the intended sharing group cannot see them. Review your firm's security choices yourself rather than asking an assistant to approve its own configuration.
If you connect a document repository, use a sample file to check that it appears in the expected matter context. Then test updates against the connector's documented behavior. Parley's document management documentation identifies supported repositories, but you should verify how the connector handles your files.
Repeat these checks when you change fields, sharing choices, or document sources. An assistant can help you identify mismatches and propose revisions, but you must validate matter accuracy and access before staff rely on the configured system.
FAQs
Which AI assistants can connect through MCP? Confirm in current Parley documentation whether ChatGPT, Claude, or another assistant is supported, and check the connection steps before choosing one.
Can a connected assistant change matter records? Confirm in current Parley documentation which MCP actions are available and whether your assistant has read or write access. Do not assume it can configure fields or update records without a documented action and the required permissions.
Does Parley support OneDrive? Parley documents document sync for SharePoint, Google Drive, Dropbox, Box, and Clio. The supplied documentation does not separately confirm OneDrive support, so confirm in current Parley documentation before planning around it.
Which practice areas have ready-made fields? Parley documents employment and investment, family and adoption, humanitarian and protection, removal defense and appeals, waivers, and status and adjustment work. Confirm in current Parley documentation which fields come ready-made for your practice area.
How does matter history stay traceable? Projects link matter work to records and evidence, giving you context to review when an assistant uses matter information. Confirm in current Parley documentation what activity history Parley retains and whether it meets your audit requirements.
Next step: try Parley
Sign up for Parley and test it with a matter structure you use in your practice. Describe the fields and stages you need, then confirm which changes your AI assistant can make through Parley’s currently documented connection. Review the records, permissions, and linked documents yourself. A small test will help you decide whether configuring Parley meets your needs or whether you need custom software.