Designing legal service delivery the business can rely on.

The work around the work

Imagine a sales manager submitting a contract request through the system your team just launched. She fills in the required fields, attaches the agreement, and receives a confirmation. Then she messages the lawyer she knows.

“Just making sure you saw this.”

The submission worked. The confirmation arrived. Yet she still felt responsible for making sure the work moved. If you lead legal operations and own technology, that gap deserves your attention.

Consider the effort surrounding a single request. Someone figures out whom to contact, explains the deadline, checks whether the work has started, and follows up when nothing appears to happen. A new system can preserve all of that coordination while adding another place to enter information.

I think service design gives legal ops leaders a useful way to examine that burden. Look at the experience from asking Legal for help through receiving a result someone can use. Every handoff carries an expectation about what happens next. Our responsibility is to make those expectations explicit and give the team a workable way to meet them.

A colleague should be able to submit a request and return to their work with confidence. That confidence comes from knowing how the service works, including what happens when the request is unusual or the original plan changes.

Four service design decisions

For a recurring legal workflow, I would organize the design conversation around four decisions: expectations, ownership, recovery, and capacity. Together, they establish the service promise your team is prepared to make.

1. Expectations

Decide what the requester should know at each stage. A receipt confirms that information arrived. It does not tell someone whether the request is complete, when it will be assessed, or when they should expect another update.

Be precise about the commitment. An initial response and a completed review are different events. Where timing depends on complexity or another team’s decision, explain that dependency and how the requester will hear about a change. Build the status information around decisions people need to make.

Design question: After submitting this request, what can someone reasonably expect without having to chase?

2. Ownership

Decide who keeps the request moving when responsibility passes between people. A lawyer may own the legal review while a business colleague owns a commercial decision. The requester still needs a clear account of where the work stands.

Agree who follows up on an overdue handoff, who can resolve a disputed priority, and who provides coverage during an absence. A queue only becomes useful when people have agreed how to manage it. The legal ops leader’s role includes securing those agreements across teams.

Design question: At each handoff, who is responsible for making sure the next step happens?

3. Recovery

Decide how the service continues when the expected route fails. An approver is unavailable. A document cannot be opened. A request arrives with a deadline that the normal process cannot meet.

Give the person handling the exception a usable response. They need to know where the work waits, who can decide what happens next, and what to tell the requester. Technology failures need the same attention: someone must notice the interruption and know how to resume work without losing or duplicating the request.

Design question: When this workflow breaks, can the team recover without relying on a personal favor or insider knowledge?

4. Capacity

Decide what the team can keep delivering after launch. A promise of timely triage needs coverage. Accurate status needs a manageable update process. Automated routing needs maintenance when responsibilities change.

“Legal ops will handle it” needs to become an actual allocation of time. Name the person doing the work and establish what they will deprioritize, or what additional support they need. Include the ongoing effort in the decision to expand the service.

Design question: What people and support will keep this promise realistic during a busy month?

A contract request in practice

Illustrative example for discussion.

Return to the sales manager who follows up with her lawyer. Suppose the confirmation she receives contains only a request number. The tracker says “in progress,” and urgent requests have no defined route. Messaging someone she trusts is a reasonable response to the uncertainty.

Using the four decisions, the team could agree that every complete request receives an initial assessment within a timeframe it has checked against available capacity. That assessment identifies the reviewer and the next expected update. If information is missing, the requester receives a specific question.

When commercial approval is required, the request shows the decision needed and its owner. If that approval becomes overdue, a designated person follows up. If the assigned reviewer is unavailable, a backup takes responsibility. A request whose deadline is at risk reaches someone authorized to reprioritize the work.

The technology requirements now follow from those commitments: meaningful status, assignment coverage, and a visible exception route. The team can test whether its existing tools support them before deciding what else it needs.

The sales manager may still contact her lawyer about a sensitive negotiation. But she should no longer need that relationship simply to discover whether her request is moving.

What this changes about technology

A service design brief makes a technology discussion more specific. You can ask a vendor to demonstrate an overdue approval, a reassigned reviewer, or a request that cannot proceed. You can examine the work required to keep status accurate and the effort needed to change a rule.

It also sharpens the case for AI. Suppose an AI capability extracts details from an email and proposes a review queue. That may make submission easier. The service still needs someone to check important information and handle uncertain classifications.

Follow the request far enough to understand the effect. Does the reviewer receive usable information? Does checking the suggested category take less effort than assigning it directly? What happens when the tool misreads the deadline? Evaluate the work required to reach an acceptable result, including correction and follow-up.

This framing also makes ongoing costs visible. A configuration that requires constant attention may exceed the team’s capacity even when its subscription fits the budget. Ask who will maintain the service and what support the vendor actually provides after implementation.

Decide what to build, configure, or buy

Once the service is defined, the technology decision becomes more concrete. You know what someone needs to accomplish, who is responsible, and what should happen when the normal path breaks down. Use those requirements to compare the ways you could deliver the service.

Start by asking whether the gap requires new technology at all. Clearer approval authority, a maintained template, or a change in ownership may address it. Where technology is needed, consider configuration of an approved system alongside a new product or a custom build. The right choice depends on the work and the capacity available to support it.

Compare the approaches against the same service need

Separate essential requirements from preferences

Write requirements as service behaviors that can be demonstrated. For example: “An authorized requester can see whether Legal is waiting for additional information” is easier to evaluate than “The system needs a dashboard.”

Identify requirements that an option must meet, such as access controls, required records, or a critical integration. Then compare the viable options on usability, implementation effort, adaptability, support, and cost. Agree on the relative importance of those factors before reviewing proposals so an attractive feature does not quietly replace the original need.

Ask whether you need a focused tool for one service or a broader platform supporting several teams. Consider the complete arrangement: a small tool connected to multiple systems can create coordination and support work far beyond its initial purpose.

Compare the cost of keeping the service working

Use the same planning period and workload assumptions for every option. Include licenses or development, configuration, data preparation and migration, integrations, access management, training, support, and ongoing administration. Account for the time internal experts spend defining requirements and reviewing the result.

For a build, include the engineering capacity needed after launch and what that commitment displaces. For a purchase, include renewal assumptions, usage growth, vendor dependencies, and the cost of changes outside standard functionality. For either approach, examine how the department would export its records and move to another solution.

Compare those commitments with the cost of the current service: time spent chasing requests, correcting errors, maintaining workarounds, and managing delays. Use observed evidence where available and make estimates explicit. A cheaper launch may lead to a more expensive service to operate.

Test a complete request before committing

Give each shortlisted option the same representative scenarios using approved test data. Include an ordinary request, missing information, an absent reviewer, a changed deadline, a restricted matter, and a failed handoff. Ask the people who request and deliver the work to participate.

Evaluate the result against agreed acceptance criteria. Can the requester understand the status? Can an owner resolve an exception? Are permissions correct? Can records be exported in a usable form? If AI is involved, test incorrect or unsupported outputs and the path to human review. Check what administrators must do to maintain the service as well as what users see.

Capture what worked, what required manual intervention, and what remains unproven. A successful demonstration should support the decision with evidence; it should not conceal unresolved dependencies.

Record the decision and its conditions

A short decision record should state the service need, alternatives considered, evidence from testing, expected cost, accountable owners, and reasons for the choice. Include the conditions required to proceed—such as confirmed engineering support or a workable data migration—and the circumstances that would prompt reconsideration.

For example, a team improving NDA intake might first test an approved workflow tool. If it supports the routing, permissions, and updates the service requires, configuration may be sufficient. If essential requirements remain unmet, the team can compare a purchased solution with a custom component using the same scenarios and cost assumptions.

The decision earns its value when the department can explain how the chosen approach will deliver the service and who will keep it working.

Write your service design brief

Choose one recurring request. Complete the statements below with the people who request the work and the people who deliver it. Use the answers to guide the workflow and technology decisions.

Walk through a recent request together. Wherever the team gives conflicting answers, there is a design decision to resolve before configuring the workflow.

Look for less chasing

Once the workflow is in use, pay attention to the work people still do around it. Look at requests that need repeated status inquiries, handoffs that require manual rescue, and records marked complete while someone is still waiting for an answer.

Combine those observations with completion time and the quality of the result. Fewer follow-ups can indicate greater confidence, but silence alone does not establish that the service is working. Ask requesters whether they knew what would happen next and whether they received what they needed.

If people return to an old route, find out what it gives them. A direct message might offer reassurance, faster escalation, or information the system leaves out. That is useful evidence for improving the design.

The standard I would want to earn is straightforward: someone new to the business can get legal support without first learning whom to chase. Technology has a valuable role in making that possible. Legal ops leadership makes it a service the team can keep delivering.

Put the service design into practice with Lawtrades

Defining a better service is one part of the work. Someone must map the current process, agree on ownership, configure the workflow, test the exceptions, and prepare the team to maintain it. A department already handling daily demand may need additional expertise or capacity to complete that build.

Lawtrades connects legal teams with attorneys, legal operations professionals, and legal engineers for defined projects and flexible engagements. Legal operations support can help translate your service design brief into intake requirements, handoff rules, and reporting. Legal engineers can help translate service requirements into evaluation criteria, support build-versus-buy assessments, and test proposed solutions in coordination with IT and security. They can also support implementation within an agreed scope; internal owners should confirm the engineering and support capacity needed for any custom build. Attorneys can help document guidance for internal approval or provide coverage so your existing experts have time to lead the work.

Bring Lawtrades one recurring service and the gap you want to address. Ask for a proposal covering the expertise, deliverables, fees, timeline, internal approvals, and maintenance handoff. Define success around the service experience: requesters know what happens next, owners can manage exceptions, and the department can sustain the process after the engagement ends.