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Legal Services · Legal Operations & Business

Track matter management and workload

EnhancesStable
Available Now
Production-ready. Commercial solutions exist and organizations are actively deploying.

Trajectories describe the observable direction of human effort — not a prediction about specific roles, headcount, or individual careers.

What You Do Today

Legal departments track active matters, assign work, manage deadlines, and report on legal department performance to business leadership.

AI Technologies

Roles Involved

Who works on this
Digital Transformation LeaderChief of StaffChange Management LeadOperating Model DesignerWorkforce Strategy LeadVendor / Technology Partner ManagerOffice ManagerLegal Operations ManagerLegal Project ManagerExecutive Assistant
VP/SVPDirectorManager/SupervisorIndividual Contributor

How It Works

AI predicts matter outcomes and resource needs from historical data, optimizes work allocation, and generates performance dashboards.

What Changes

Matter management is predictive instead of reactive; AI forecasts which matters will need more resources and flags at-risk deadlines.

What Stays the Same

Strategic work allocation, talent development decisions, and the leadership that keeps a legal department running effectively.

Evidence & Sources

  • Mitratech
  • Onit
  • SimpleLegal

Sources listed are directional references, not formal citations. Verify against primary sources before using in business cases or presentations.

Last reviewed: March 2026

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for track matter management and workload, document your current state in legal operations & business.

Map your current process: Document how track matter management and workload works today — who does what, how long each step takes, and where the bottlenecks are. Use your matter management system data to establish a factual baseline.
Identify the judgment calls: Strategic work allocation, talent development decisions, and the leadership that keeps a legal department running effectively. — these are the boundaries AI won't cross. Know them before you start.
Check your data readiness: AI tools for legal operations & business need clean, accessible data. Check whether your matter management system has the historical data, integrations, and quality to support Matter analytics tools.

Without a baseline, you can't tell whether AI actually improved track matter management and workload or just changed who does it.

2

Define Your Measures

What to track and how to calculate it

matter cycle time

How to calculate

Measure matter cycle time for track matter management and workload before and after AI adoption. Pull from your matter management system.

Why it matters

This is the most direct indicator of whether AI is adding value to legal operations & business.

outside counsel spend

How to calculate

Track outside counsel spend using the same methodology you use today. Don't change how you measure just because you changed how you work.

Why it matters

Speed without quality is just faster mistakes. Measure both together.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a goal. Measure outcomes. If the tool helps with track matter management and workload, people will use it.
3

Start These Conversations

Who to talk to and what to ask

General Counsel or Managing Partner

What's our plan for AI in legal operations & business? Are we piloting, planning, or waiting?

This tells you whether to experiment quietly or push for formal investment in track matter management and workload.

your matter management system administrator or vendor

What AI capabilities exist in our current matter management system that we're not using? Most platforms are adding AI features faster than teams adopt them.

The cheapest AI adoption is the features already included in your existing license.

a practitioner in legal operations & business at another organization

Have you deployed AI for track matter management and workload? What worked, what didn't, and what would you do differently?

Peer experience is more useful than vendor demos. Find someone who has actually done this.

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.

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These architecture components support or enable this AI application.

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