Legal Aid (UK) - Clio

Opening a new regulated market through workflow simplification and structured data modeling

Role

Product Designer

Industry

SaaS · B2B

status

Live

Year

2022

Describe this image here
Describe this image here

Challenge

Role: Design Lead
Scope: End-to-end discovery → IA → UX → validation → delivery
Market: UK Legal Aid
Impact:
+26% MMR growth in UK
Opened 20% additional addressable market
Improved NPS
Launched at ClioCon

The Challenge

Clio could not properly support UK Legal Aid firms.

Firms were required to manually complete bulk spreadsheets with up to 58 fields, correct errors, and upload them directly to the Legal Aid Agency portal. There was no reliable way within Clio to capture required Legal Aid data or generate compliant reports.

This created:

  • Manual administrative burden

  • Error-prone submissions

  • Missed reimbursements

  • Lost sales opportunities in the UK market

Legal Aid became a consistent deal blocker and limited 20% of the UK addressable market.

My Role

As Design Lead, I was responsible for understanding the Legal Aid process end-to-end — from how firms currently worked to how we could embed compliant workflows directly into Clio.

This required balancing:

  • Legal accuracy

  • Complex rate structures

  • Structured reporting requirements

  • Usability for time-constrained legal professionals

Describe this image here
Describe this image here

Process

Discovery

I conducted qualitative research across multiple areas of UK law to understand variations in Legal Aid requirements.

Key findings:

  • Lawyers were performing highly manual administrative tasks themselves due to lack of error prevention

  • Cost structures varied significantly by practice area, region, activity type, and fee scheme

  • Errors in bulk uploads created downstream rework and reimbursement risk

Competitive analysis showed partial solutions in the market, but competitors struggled with error prevention and accurate cost modeling.

This presented an opportunity to go to market with a more complete and reliable solution.

Information Architecture & Data Modeling

The complexity of Legal Aid lay in its rate matrix. The documentation provided by the Legal Aid Agency exceeded 5,000 lines and had no structured format.

I worked with engineering to:

  • Convert this documentation into a structured JSON data model

  • Define relationships between practice area, activity type, region, category of law, and fee scheme

  • Map required fields dynamically based on area of law

This enabled us to surface the correct inputs programmatically rather than relying on static forms. Card sorting workshops with CS, design, and engineering helped define a scalable taxonomy that supported iterative expansion.

UX Strategy

The goal was not visual redesign, it was error prevention and clarity.

I redesigned the workflow to:

  • Surface only relevant fields per case type

  • Reduce redundant input

  • Generate compliant exports directly within Clio

  • Provide visibility into submission readiness

This shifted the process from spreadsheet-based correction to system-guided completion.


Describe this image here
Describe this image here

Outcome

Validation

I created a full interactive prototype covering core Legal Aid tasks. We conducted usability testing using the System Usability Scale (SUS). Results showed improved usability confidence and reduced perceived complexity compared to the legacy approach. Participants reported greater clarity and stronger confidence in submission accuracy.

Development & Delivery

I collaborated closely with engineering in 2-week sprints over 4 months. The work required precise mapping between UX fields and backend rate logic.

We prioritized:

  • Accuracy over feature breadth

  • Correct export formatting

  • Incremental rollout to mitigate regulatory risk

Post-MVP, I revisited UI improvements to further refine clarity and reduce friction.

Rollout

The feature launched in a closed beta to 4 accounts to validate real-world usage. Our primary KPI was export generation frequency and error rate. Accounts successfully generated and uploaded compliant spreadsheets to the Legal Aid portal. We then expanded beta access before broader release.

Results

  • UK MMR increased by 26%

  • Opened 20% of previously inaccessible market

  • Increased NPS

  • Publicly announced at ClioCon

Legal Aid moved from a deal blocker to a strategic UK growth lever.

Reflection

This project strengthened my ability to:

  • Translate regulatory documentation into structured product logic

  • Balance legal compliance with usability

  • Lead cross-functional collaboration in complex domains

  • Deliver measurable commercial impact

While not a multi-org transformation project, it demonstrated how structured discovery and disciplined UX architecture can unlock new markets.

Describe this image here
Describe this image here

Legal Aid (UK) - Clio

Opening a new regulated market through workflow simplification and structured data modeling

Role

Product Designer

Industry

SaaS · B2B

status

Live

Year

2022

Describe this image here

Challenge

Role: Design Lead
Scope: End-to-end discovery → IA → UX → validation → delivery
Market: UK Legal Aid
Impact:
+26% MMR growth in UK
Opened 20% additional addressable market
Improved NPS
Launched at ClioCon

The Challenge

Clio could not properly support UK Legal Aid firms.

Firms were required to manually complete bulk spreadsheets with up to 58 fields, correct errors, and upload them directly to the Legal Aid Agency portal. There was no reliable way within Clio to capture required Legal Aid data or generate compliant reports.

This created:

  • Manual administrative burden

  • Error-prone submissions

  • Missed reimbursements

  • Lost sales opportunities in the UK market

Legal Aid became a consistent deal blocker and limited 20% of the UK addressable market.

My Role

As Design Lead, I was responsible for understanding the Legal Aid process end-to-end — from how firms currently worked to how we could embed compliant workflows directly into Clio.

This required balancing:

  • Legal accuracy

  • Complex rate structures

  • Structured reporting requirements

  • Usability for time-constrained legal professionals

Describe this image here

Process

Discovery

I conducted qualitative research across multiple areas of UK law to understand variations in Legal Aid requirements.

Key findings:

  • Lawyers were performing highly manual administrative tasks themselves due to lack of error prevention

  • Cost structures varied significantly by practice area, region, activity type, and fee scheme

  • Errors in bulk uploads created downstream rework and reimbursement risk

Competitive analysis showed partial solutions in the market, but competitors struggled with error prevention and accurate cost modeling.

This presented an opportunity to go to market with a more complete and reliable solution.

Information Architecture & Data Modeling

The complexity of Legal Aid lay in its rate matrix. The documentation provided by the Legal Aid Agency exceeded 5,000 lines and had no structured format.

I worked with engineering to:

  • Convert this documentation into a structured JSON data model

  • Define relationships between practice area, activity type, region, category of law, and fee scheme

  • Map required fields dynamically based on area of law

This enabled us to surface the correct inputs programmatically rather than relying on static forms. Card sorting workshops with CS, design, and engineering helped define a scalable taxonomy that supported iterative expansion.

UX Strategy

The goal was not visual redesign, it was error prevention and clarity.

I redesigned the workflow to:

  • Surface only relevant fields per case type

  • Reduce redundant input

  • Generate compliant exports directly within Clio

  • Provide visibility into submission readiness

This shifted the process from spreadsheet-based correction to system-guided completion.


Describe this image here

Outcome

Validation

I created a full interactive prototype covering core Legal Aid tasks. We conducted usability testing using the System Usability Scale (SUS). Results showed improved usability confidence and reduced perceived complexity compared to the legacy approach. Participants reported greater clarity and stronger confidence in submission accuracy.

Development & Delivery

I collaborated closely with engineering in 2-week sprints over 4 months. The work required precise mapping between UX fields and backend rate logic.

We prioritized:

  • Accuracy over feature breadth

  • Correct export formatting

  • Incremental rollout to mitigate regulatory risk

Post-MVP, I revisited UI improvements to further refine clarity and reduce friction.

Rollout

The feature launched in a closed beta to 4 accounts to validate real-world usage. Our primary KPI was export generation frequency and error rate. Accounts successfully generated and uploaded compliant spreadsheets to the Legal Aid portal. We then expanded beta access before broader release.

Results

  • UK MMR increased by 26%

  • Opened 20% of previously inaccessible market

  • Increased NPS

  • Publicly announced at ClioCon

Legal Aid moved from a deal blocker to a strategic UK growth lever.

Reflection

This project strengthened my ability to:

  • Translate regulatory documentation into structured product logic

  • Balance legal compliance with usability

  • Lead cross-functional collaboration in complex domains

  • Deliver measurable commercial impact

While not a multi-org transformation project, it demonstrated how structured discovery and disciplined UX architecture can unlock new markets.

Describe this image here

© 2026 · Kloë Cole

© 2026 · Kloë Cole

© 2026 · Kloë Cole