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⚡ Source: ReedRef: 56729463

Product Manager Artificial Intelligence

Birketts LLP·Sevenoaks·Posted 2 months ago
⭐ Senior
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Job description

Original text imported from Reed

About us

Birketts is a full service, UK Top 50 law firm. With a heritage spanning 160 years, we have more than 700 lawyers and legal professionals and over 600 staff based in Bristol, Cambridge, Chelmsford, Ipswich, London, Norwich and Sevenoaks. We advise businesses, government and public sector organisations and individuals in the UK and internationally across four principal practice groups: Real Estate, Corporate Services, Dispute Resolution and Private Client.

We are defined by our Next Level Law proposition. We work with our clients as a proactive partner, horizon scanning and thinking ahead to the changes, challenges or opportunities that they may face.

Next Level Law is also applied to our people. Our collegiate culture means everyone is encouraged to achieve their next level in everything they do.  RollOnFriday recently ranked us as the 6th best law firm to work at in 2026.

With our ambition to succeed, comes a strong desire to make a positive contribution to the communities we serve, and we are committed to delivering the objectives set out in our ESG strategy. Diversity plays an integral part in all that we do, with female partners comprising 42% of our partnership.

The team you will join

IT plays a vital role in keeping the firm connected, secure, and empowered to deliver excellent client service. We provide the technology, support, systems, and innovation that enable colleagues across Birkett's to work efficiently and confidently.   

Our people work in Squads and Teams across Product Delivery, Product Development, Data Systems, Service Delivery, Cloud & Infrastructure, and Cyber Security. 

The work you will be doing

The Product Manager will play a key role in the design, delivery and use of Artificial Intelligence (AI) solutions that enhance client experience and support Birketts’ strategic goals.  

This role sits within the AI Squad, a cross-functional team focused on developing innovative AI solutions that improve how our colleagues deliver legal services and enable better client outcomes, aligned with our strategy ‘Empowering clients and colleagues to achieve their next level’. 

The squad focuses on solutions that improve legal workflows such as contract drafting, due-diligence review, matter lifecycle management, e-disclosure, document automation, legal research, compliance and regulatory processes, ensuring technology meets “legal-grade” accuracy, risk, and confidentiality standards. 

Main accountabilities: 

You will work closely with internal stakeholders, legal practitioners, technical teams, clients and third-party vendors, helping to shape and deliver AI initiatives grounded in clear business needs, high-quality user experience, and measurable value.  

  • Own and shape the AI product roadmap, with a clear focus on optimising legal workflows. 

  • Lead a cross functional AI squad throughout the full product lifecycle, aligning product, engineering, design and data around a clear mission and measurable outcomes. 

  • Act as a primary liaison between business stakeholders, legal practitioners, clients, and technical teams. 

  • Communicate progress, learnings and opportunities clearly to stakeholders, managing expectations and surfacing new product ideas. 

  • Ensure alignment between business needs, responsible-AI principles and the product roadmap to prioritise the squad’s backlog 

  • Provide light project-management oversight including milestone tracking, risk identification, delivery reporting, and cross-team coordination. 

Please note that this job profile is not an exhaustive list of duties but merely an outline of the key components of the role. You may be required by your line manager to take on additional responsibilities when requested.

What we are looking for

We are seeking an experienced Product Manager, with strong storytelling ability, excellent analytical skills and a passion for AI-driven transformation in legal services. You’ll be able to use your skills and experience to promote the product mindset, connecting technical work to human impact, and making product value visible through storytelling and data. 

 Essential 

  • A track record as a Product Manager in a digital/technology environment, ideally in a client-facing or professional services business coupled with excellent communication and exceptional stakeholder engagement skills. 

  • A product focused, problem-solving mindset coupled with the ability to challenge convention. 

  • Strong understanding of automation, workflow optimisation, and process re-engineering. 

  • Ability to translate complex ideas (including AI/ML concepts) into simple, clear language. 

  • Experience working in agile product development environments. 

Desirable 

  • Experience working in regulated environments or with legal workflows. 

  • Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) 

Hybrid Working

Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home and office working. This role attracts a split of 60% office days and 40% working from home days per week.

Benefits

As a Birketts colleague, you will be eligible to receive a wide range of benefits:

  • 25 days holiday (FTE) plus Bank Holidays Long Service holid
  • SpeedCV AI

    Key skills

    AI-extracted from the job advert

    Must-have skills
    AI product roadmap ownershipProduct lifecycle managementCross-functional squad or agile team leadershipLegal workflow or regulated-industry AI deliveryThird-party vendor managementStakeholder engagement across technical and non-technical teams
    Nice-to-have
    LegalTech platform experiencee-disclosure toolingDocument automation platformsCompliance and regulatory process designDue-diligence review AI tools
    Soft skills
    Strategic thinkingCollaborationCommunicationLeadershipAutonomyStakeholder influenceProblem solving
    SpeedCV AI

    Application advice

    5 AI-generated recommendations to maximise your chances.

    1

    ⭐ Lead your CV personal statement with explicit AI product ownership experience, as the advert opens by naming this the core accountability of the role.

    2

    📊 Quantify your roadmap impact: e.g. 'Delivered AI document automation roadmap across 3 product lines, reducing review time by 35% for a 200-person legal team'.

    3

    🎯 Highlight any LegalTech or regulated-industry AI experience prominently — the advert stresses 'legal-grade accuracy, risk, and confidentiality standards', so domain context is a differentiator.

    4

    🤝 Demonstrate cross-functional squad leadership in your work history, referencing specific squad or agile team structures, as the role explicitly sits within a named AI Squad at Birketts.

    5

    🌐 Call out vendor and third-party management experience, particularly with AI or SaaS providers, as the advert lists external vendor collaboration as a key accountability alongside internal stakeholders.

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    Suggested CV bullets

    3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

    How to tailor your CV

    Add these 3 bullets under your most recent experience:

    • Owned and delivered an AI contract review product roadmap across 4 practice areas, reducing average due-diligence turnaround from 5 days to 2.5 days for a 300-lawyer firm.
    • Led a cross-functional squad of 10 across product, engineering, and compliance to deploy a document automation platform, achieving 92% user adoption within 3 months of launch.
    • Managed 3 third-party AI vendor relationships — including contract negotiation and quarterly performance reviews — ensuring SLA compliance at 99.4% uptime across legal workflow tools.

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    Letter preview — tailored to Birketts LLP

    Dear Hiring Manager,

    Birketts' AI Squad — focused on delivering legal-grade contract drafting, e-disclosure, and matter lifecycle automation to over 700 legal professionals — is precisely the product challenge I have been building towards. I am applying for the Product Manager Artificial Intelligence role and bring direct experience owning AI product roadmaps in regulated environments, alongside a track record of leading cross-functional squads from discovery through to measurable delivery.

    My background in AI product management includes defining and prioritising roadmaps for document automation and compliance workflow tools, working alongside legal practitioners, data engineers, and third-party vendors to ensure solutions meet both user needs and risk standards. I have led squads of up to 12 people across product, engineering, and design, consistently aligning delivery to strategic goals and quantifiable outcomes — reducing manual review time by 30% on one recent programme.

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    SpeedCV AI

    Interview questions

    10 questions generated from this advert.

    Technical

    • How have you built and prioritised an AI product roadmap in a regulated or professional services environment?
    • What frameworks do you use to evaluate 'legal-grade' accuracy and risk when selecting or deploying AI solutions?
    • Describe your experience with document automation or contract drafting AI tools — how did you manage integration with existing workflows?
    • How do you measure the success of an AI product in a legal or compliance-heavy context?
    • Walk us through how you have managed third-party AI vendors, including due diligence, contract negotiation, and ongoing performance oversight.

    Behavioural

    • Tell me about a time you had to align a sceptical group of senior stakeholders behind an AI initiative — what was your approach and what was the outcome?
    • Describe a situation where an AI product you owned did not deliver the expected value. How did you identify the problem and what did you do?
    • Give an example of leading a cross-functional team through a complex product delivery. How did you manage competing priorities?
    • Tell me about a time you had to balance innovation with risk and compliance constraints. How did you navigate that tension?
    • Describe a moment when user feedback significantly changed the direction of a product you were managing. What did you learn?
    SpeedCV AINEW

    STAR answer examples

    Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

    1Question

    Tell me about a time you had to align a sceptical group of senior stakeholders behind an AI initiative — what was your approach and what was the outcome?

    Situation: At a 250-person financial services firm, the Head of Compliance and three senior partners were resistant to adopting an AI contract review tool, citing accuracy and confidentiality concerns. Task: I needed sign-off from all four to proceed with a planned 6-month rollout. Action: I organised a structured pilot with 2 partners, running the AI tool in parallel with manual review on 40 live contracts and presenting a side-by-side accuracy report. I also brought in the vendor's security team to address GDPR concerns directly. Result: The pilot showed 94% accuracy alignment with manual review. All four stakeholders approved the full rollout, which went live on schedule and reduced review time by 28% in the first quarter.
    2Question

    Describe a situation where an AI product you owned did not deliver the expected value. How did you identify the problem and what did you do?

    Situation: I launched an AI-powered legal research assistant to a team of 35 associates at a mid-size law firm. After 8 weeks, adoption sat at 22% against a 70% target. Task: I needed to diagnose the failure and recover the programme before the quarterly board review. Action: I ran 12 user interviews and discovered the tool's output format did not match how associates structured their research notes, creating extra rework rather than saving time. I reprioritised the squad's sprint to rebuild the output template in collaboration with 3 senior associates. Result: Adoption rose to 68% within 6 weeks of the fix, and average research time per matter dropped by 1.8 hours, saving the firm an estimated £14,000 per month in billable hours.

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