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:

  1. AI onboarding for trainee lawyers – equipping early-career legal professionals with responsible, practical AI skills from day one
  2. 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
Building End-to-End AI Capability with a Legal Partner. Flex Legal + First AI

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.
AI adoption - First AI

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
Building End-to-End AI Capability with a Legal Partner | First AI

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.

GCSE Prompting Framework | First AI

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.

Building End-to-End AI Capability with a Legal Partner | First AI

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

Building End-to-End AI Capability with a Legal Partner | First AI

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.

AI adoption - First AI

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:

Uncover → Craft → Verify | First AI

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.

Building End-to-End AI Capability with a Legal Partner | First AI

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.

Building End-to-End AI Capability with a Legal Partner | First AI

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.