Lean in Law: Why Process Improvement Matters More Than Ever
- Jo-Anne Wild
- Apr 11
- 6 min read
This article is an updated and expanded version of an article first published in 2019, reflecting how Lean thinking now applies to modern law firms, legal technology and AI.
TLDR
Most law firms do not have a technology problem. They have a process problem.
Many firms are investing in AI, workflow automation and new legal technology, but are applying them to inefficient, inconsistent processes. This often creates faster chaos rather than better outcomes.
Lean provides a practical framework for understanding how work really happens, identifying waste, simplifying processes and creating consistent ways of working. Firms that do this first are far more likely to see value from AI and legal technology.
Key Takeaways
Lean is still relevant because it helps firms improve processes before they automate them
AI will amplify poor processes unless work is first simplified and standardised
Most waste in modern law firms comes from duplicated effort, waiting, unnecessary approvals and disconnected systems
The best place to start is with one process, such as client onboarding, matter opening or billing
Sustainable improvement comes from involving the people doing the work, testing changes and refining them over time
Many law firms are investing in AI, workflow tools and new practice management systems. Yet too often they are digitising poor processes rather than improving them.
If a process is slow, inconsistent or full of unnecessary steps, adding technology simply allows the firm to do the wrong thing faster.
That is why Lean remains relevant.
Lean has its roots in manufacturing, but at its heart it is simply a practical way of understanding how work really happens, removing what gets in the way, and improving the experience for clients and staff.
We often describe Lean as "advanced common sense".
Lean was developed by Taiichi Ohno at Toyota. He had no Lean books, workshops or consultants. He observed the work, understood the problems, involved the people doing it, and improved things step by step.
That same approach still works in law firms today.
Lean Is Not a Magic Bullet
Many Lean projects in law firms fail because they are treated as a quick cost-cutting exercise.
Lean is not a panacea. It provides a framework for improvement, but firms only see lasting benefits when they look at people, process and technology together.
What works in one firm may not work in another. The starting point is always to understand the work as it really happens, speak to the people doing it, and identify what is creating friction.
Improvement is rarely immediate. Most process improvement follows a predictable pattern:
Performance dips while people adapt and hidden issues surface.
Improvements begin to take hold.
Progress slows and levels off.
The cycle starts again.
Many firms abandon change during the initial dip and return to the old way of working. The firms that succeed are the ones that test, learn and stay focused on the longer-term outcome.
The Core Principles of Lean
The principles of Lean are straightforward:
Focus on what creates value for the client
Respect and involve the people doing the work
Remove waste from the process
Create flow so work moves smoothly
Only start new work when there is genuine demand
Keep improving
Value
Value is anything the client is willing to pay for. Everything else is either necessary support activity or waste.
The critical question is not whether a task feels important internally. It is whether it improves the outcome for the client.
Value Stream Mapping
A value stream is every step involved in delivering a service, from initial instruction through to completion.
Mapping the process visually helps firms identify where work flows well and where it stalls, loops back, waits for approval or gets duplicated.
For many firms, this exercise is eye-opening. Partners and managers often discover that processes still include steps that nobody questioned for years.
The Eight Types of Waste in a Modern Law Firm
Lean identifies eight common forms of waste. They are often remembered using the acronym TIM WOODS.
Transportation
Unnecessary movement of information or work.
Examples include:
Sending the same matter details between multiple systems
Forwarding documents through long email chains
Repeated hand-offs between departments for approval
Inventory
Work waiting to be done.
Examples include:
Unopened client enquiries sitting in inboxes
Matter reviews waiting for one partner's approval
Backlogs of unsigned engagement letters or bills
Motion
Unnecessary effort or switching between tasks.
Examples include:
Moving between multiple disconnected systems
Searching for documents or the latest version of a precedent
Attending meetings that do not lead to decisions
Waiting
Time lost while work is paused.
Examples include:
Waiting for conflict checks or approvals
Delays in receiving information from clients
Work held up because no one knows who owns the next step
Overproduction
Doing more than is necessary.
Examples include:
Producing reports nobody reads
Copying large numbers of people into emails
Creating AI-generated drafts that are never used
Overprocessing
Adding effort that does not improve the result.
Examples include:
Entering the same data into several systems
Repeatedly reformatting documents
Multiple layers of review where one would be enough
Defects
Errors that require rework.
Examples include:
Incorrect matter data
Using the wrong precedent or form
Poor-quality AI output that has to be rewritten
Skills
Failing to use people's knowledge effectively.
Examples include:
Partners doing work that could be delegated
Experienced support staff excluded from improvement discussions
Teams lacking training in the systems they already have
For example, a firm may introduce AI to draft engagement letters or client care documents. However, if there are several different ways of opening a matter, inconsistent client data and multiple systems holding different versions of the same information, the result is often more rework, not less.
The AI may produce the document faster, but staff still spend time correcting missing details, checking inconsistent data and resolving errors.
This is why process improvement must come before automation.
Do Not Automate Waste
This is the issue many firms now face.
AI and workflow automation can produce significant gains, but only when the underlying process is clear and consistent.
A badly designed process supported by AI is still a badly designed process.
If firms have inconsistent ways of opening matters, poor-quality data, duplicated systems or unclear responsibilities, technology will usually make those problems more visible and more expensive.
Before introducing AI or automation, firms should:
Map the current process
Remove unnecessary steps
Standardise how work is done
Clarify who owns each stage
Improve the quality of matter data
Only then should they decide where technology will genuinely help.
Where to Start
The best way to begin is not with a large transformation programme. Start small.
Choose one process that matters, perhaps client onboarding, conflict checks, matter opening, billing, time recording or document production.
Then follow four simple stages.
1. Understand the Current Position
Define the problem clearly.
A good problem statement should:
Focus on one issue only
Avoid blame
Avoid jumping straight to a solution
Be specific and measurable
Then observe the work as it happens.
Speak to the people doing it. Measure how long things take. Understand where delays, duplication and frustration occur.
2. Design the Future State
Ask what the ideal process would look like.
A useful technique is Start, Stop, Continue:
What should we start doing?
What should we stop doing?
What should we continue doing because it works?
Then create a new version of the process with the waste removed.
3. Plan the Change
Do not try to fix everything at once.
Break the change into manageable stages. Prioritise the quick wins and test improvements in small steps.
Some ideas will work immediately. Others will not. The important thing is to learn from the results.
4. Keep Improving
Lean is not a one-off project.
Once a process improves, revisit it again. As firms grow, client expectations change and new technology becomes available, the process will need refining again.
Final Thoughts
Most law firms do not have a technology problem. They have a process problem.
The firms that gain the most from AI and legal technology will not necessarily be those with the largest budgets. They will be the firms that first understand how their work really happens, remove waste, and create consistent ways of working.
Lean provides the discipline to do that.
If you want to start, choose one process, map it, challenge it, and improve it before you automate it.



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