From Early Talent to Embedded AI Workflows: Building End-to-End AI Capability with a Legal Partner
Overview
Flex Legal partnered with First AI across two distinct but complementary programmes:
- AI onboarding for trainee lawyers – equipping early-career legal professionals with responsible, practical AI skills from day one
- Flex Champions programme – embedding Microsoft Copilot into live legal workflows to drive measurable productivity and process transformation
Together, these initiatives created a full-spectrum AI capability model; from foundational literacy to advanced, workflow-level adoption.
Crucially, the engagement was not just about internal efficiency, but about building a scalable bank of AI use cases Flex Legal can deploy across client environments, spanning sectors including:
- Real Estate
- Financial Services
- Food Retail
1. Trainee Onboarding Programme
Building AI-Ready Lawyers and Governance professionals from Day One
The Challenge
Flex Legal works with high-potential aspiring lawyers and Company Secretaries at the start of their careersentering fast-paced, client-facing legal environments.
As AI tools like Microsoft Copilot become more widely available, the challenge was not access - but safe, responsible, and practical adoption.
Flex Legal needed to ensure new joiners:
- Understood how to use AI responsibly in legal contexts
- Built early confidence using tools like Microsoft Copilot
- Avoided poor prompting habits or over-reliance
- Could contribute productively from the outset
- Developed skills aligned with modern, AI-enabled legal work
- The goal was to enable real productivity gains, without compromising professional judgment or risk management.
The Approach
First AI worked closely with Flex Legal to design a structured, progressive training programme that balanced responsible AI foundations with practical, workflow-driven use.
Delivered as a focused, in-depth session, the engagement provided practical learning experiences that built capability and confidence from the outset.
- Practical and scenario-based
- Grounded in real legal workflows
- Designed for immediate application in client work
What Was Delivered
Phase 1) Responsible AI Foundations & Copilot for Lawyers
The programme began with a session focused on responsible AI use in legal environments.
Covering:
How lawyers can safely use AI when supporting legal counsel
The principles of ethical AI, including bias, confidentiality, and accountability
Where human oversight remains critical in legal decision-making
Introduced Microsoft Copilot for lawyers:
Why Copilot is a game-changer for legal work
How Copilot integrates securely within Microsoft 365
Built-in security, privacy, and compliance benefits
Participants explored practical productivity use cases:
Document and contract summarisation
Drafting and refining emails
Automating routine, time-consuming tasks
To support effective adoption, First AI introduced the GCSE Prompting Framework:
Goal, Context, Source, Expectations - giving lawyers a repeatable way to structure high-quality prompts aligned to legal work.
The session also covered top legal and general use cases, including contract review, compliance, due diligence, and client communication.
This ensured graduates developed structured, repeatable prompting habits early.
Phase 2) Deep Dive into Legal Use Cases & Live Demonstrations
The second session moved beyond theory into real legal application.
After recapping Copilot’s core features and the GCSE framework, First AI delivered live demonstrations of Copilot supporting legal tasks such as:
- Compliance and regulatory updates
- Due diligence and risk assessments
- Litigation support
- Informing business and commercial decisions
Each demo was paired with example prompts, showing how small changes in context, instruction, and expectations significantly improve output quality.
This phase focused on helping participants understand how Copilot fits into legal workflows, not just what it can do.
Phase 3: Hands-On Promptathon & Workflow Application
The programme concluded with an interactive Promptathon; a hands-on workshop designed to embed learning into day-to-day work.
Participants worked in groups to:
- Apply the GCSE framework to real legal tasks
- Refine poorly written prompts into effective ones
- Identify workflows that were most “Copilot-ready”
- Experiment with using Copilot in a mock environment
This session shifted learning from understanding AI to using AI, with participants directly applying Copilot to challenges they face in legal counsel roles.
“What stood out was how practical the sessions were. Everything was tied back to real legal workflows — from due diligence and compliance to day-to-day communication — which made the learning immediately applicable.”
— Mary, Flex Legal
One example discussed was using Copilot to explain bespoke company acronyms and internal terminology to colleagues, a small but high-impact use case that could save hours of repetitive clarification work each week.
The collaborative format encouraged shared learning and practical experimentation, helping participants leave with prompts and ideas they could immediately take back into their roles.
“The GCSE prompting framework gave our team a simple, repeatable way to get better results from AI. It’s a skill they can continue to build on as tools evolve, not just something tied to one platform.”
— Mary, Flex Legal
The Outcome
Through this structured programme, Flex Legal’s trainee lawyers gain:
- Greater confidence using Microsoft Copilot responsibly
- Practical prompting skills tailored to legal workflows
- Clear understanding of where AI adds value, and where it should not be relied upon
- Hands-on experience applying AI to real legal tasks
Rather than generic AI awareness, the engagement focused on capability building, equipping the legal professionals with skills, frameworks, and judgement they can continue to use as AI tools evolve.
“The Microsoft Copilot training gave our lawyers a clear understanding of how to use AI safely within Microsoft 365, while actually saving time on routine tasks. It helped move Copilot from ‘interesting’ to genuinely useful.”
— Mary, Flex Legal
2. Flex Champions Programme
Embedding AI into Legal Workflows & Client Delivery
The Challenge
Beyond early talent, Flex Legal needed to:
- Embed AI into real legal workflows
- Identify high-value, repeatable use cases
- Ensure outputs were relevant across different client sectors
- Deliver measurable productivity gains
- Build a reusable asset base of a prompt catalogue and use cases to strengthen their client delivery, across a variety of sectors.
The goal wasn’t just adoption - it was operational and commercial impact.
The Approach
First AI delivered a 7-week structured Champions programme, combining:
- 1-on-1 workflow discovery sessions
- Coaching embedded into day-to-day work
- Weekly shared use cases
- Prompt design, testing, and refinement
- Live measurement and feedback
Each use case followed a clear lifecycle:
Ensuring outputs were not just effective - but reliable and scalable.
Building Sector-Relevant AI Use Cases
A key outcome of the programme was the creation of a bank of use cases Flex Legal can deploy across client environments.
These were deliberately designed to be:
- Sector-aware (Real Estate, Financial Services, Food Retail)
- Legally robust
- Reusable across similar client scenarios
- Embedded within the “flow of work”
This transformed AI from a tool into a client delivery asset.
Advanced Prompting in Practice
Champions developed highly structured prompts:
- Average length: 400+ words
- Built using the GCSE framework
- Grounded in legal literacy and context
- Designed to sit directly within legal workflows
This ensured outputs were:
- More accurate
- More reliable
- More aligned to professional standards
“What stood out was how the prompting framework translated directly into better results. The structure removed ambiguity and gave us confidence that what we were producing was reliable and professionally sound.”
— Emma McDowell, Flex Legal
Measurable Impact
Productivity Gains:
Confidence increased from: 3.00 → 7.67 in applying AI to legal tasks
3 hours 20 minutes saved per week (per Champion)
100% reported faster drafting
8/10 average score for understanding Copilot’s impact
10% increase in productivity
High-Impact Use Cases
Top workflows included:
GDPR-based contract analysis
20 hours/month saved
Agreement summaries
3 hours/month saved
Red flag detection (13 factors)
4 hours/month saved
“It’s essentially highlighting it without me needing to go through it and review.”
— Flex Lawyer
Process Transformation
Example: Terms & Conditions Review
Before:
- Fully manual
- Owned by legal team
- Time-intensive
After:
- Commercial team conducts AI-supported first pass
- Legal team validates outputs
Result:
- Reduced legal workload
- Faster turnaround
- Legal expertise focused on higher-value work
Scaling Success Across Flex Legal’s Clients
To ensure impact extended beyond Champions, First AI created a Use Case & Prompt Library, featuring:
- 15+ structured use cases
- Prompt templates
- Videos and walkthroughs
- Beginner guidance
- Cross-sector applicability
AI adoption extended beyond the legal team into wider business functions, with the recruitment team using Copilot to generate interview summaries and draft job descriptions, the commercial team applying it to contract analysis against internal terms and conditions, and the sales team leveraging structured prompts to improve communication and workflow efficiency.
The Outcome
Flex Legal’s lawyers achieved:
Embedded AI within real legal workflows
Measurable productivity improvements
A reusable, sector-relevant use case library
Cross-functional AI adoption
Reduced low-value legal workload
Increased client delivery capability
From Capability to Competitive Advantage
By combining both programmes, Flex Legal has built:
A complete AI capability model
- Graduates → AI-ready from day one
- Lawyers → AI embedded into workflows
A scalable client offering
- Reusable, sector-specific use cases
- Consistent delivery across client environments
Measurable operational impact
- Time savings
- Process transformation
- Improved quality and consistency
Strengthen Your AI Services with First AI
Your clients don’t just need AI training - they need AI that works in practice.
First AI delivers:
Copilot adoption
Prompt engineering capability
Workflow transformation
Scalable use case development
Building AI capability that lasts - and delivers real results.