Mishcon de Reya LLP
Product Manager – AI & Innovation
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Product Manager – AI & Innovation
Technology – Product Manager (AI and Innovation Portfolio)
The Department
Our Technology team continues to thrive, playing a critical role in driving firm-wide innovation and strategy. Unlike a traditional support function, Technology is at the heart of our growth agenda, backed by strong executive leadership and consistent investment.
The Role
Mishcon is committed to leveraging Artificial Intelligence (AI) to deliver tangible improvements in how we provide legal services and operate the business. This includes enhancing internal efficiency, streamlining legal workflows, and developing revenue-generating client-facing offerings that strengthen client outcomes. Initiatives range from firm-wide AI platforms to broader adoption strategies.
Reporting to the AI and Innovation Lead, this role entails owning a portfolio of AI initiatives spanning internal productivity, legal workflow optimisation, and selected client-facing propositions. You will operate at the intersection of user needs, business value, technological capability, and responsible AI governance, ensuring solutions that are practical, secure, trusted, and commercially impactful.
This is a product leadership opportunity for someone who can identify high-value challenges, refine clear strategic bets, and execute ideas from discovery through to measurable adoption and impact. Collaboration is key—you will partner closely with legal teams, business services, engineering, data, security, procurement, risk and compliance, and external vendors to deliver AI solutions that create real value.
Duties and Responsibilities
Product Strategy and Outcomes
- Define and own the product strategy and roadmap for your AI portfolio, aligning with the firm’s efficiency, workflow optimisation, and client-facing value goals.
- Translate business, client, and practice needs into actionable problem statements, product opportunities, and prioritised outcomes.
- Establish success metrics for your portfolio, including adoption, efficiency gains, quality improvement, reduced risk, client impact, and commercial value.
- Develop investment cases and sequencing plans, balancing quick wins with long-term capability building, while evaluating buy/partner/both decisions.
Discovery and Problem-Solving
- Lead structured discovery work with lawyers, knowledge teams, business services, and clients (where applicable) to identify and validate high-impact problems.
- Collaborate closely with design, engineering, data/AI specialists, and domain experts to test assumptions early (prototypes, pilots, controlled releases), then scale what delivers results.
- Ensure products align with real-world behaviours and constraints, accounting for confidentiality, matter context, quality expectations, and user acceptance challenges.
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Cross-Functional Delivery
- Work hand-in-hand with engineering, data, design, security, and architecture teams to deliver secure, scalable, and reliable AI solutions.
- Act as the end-to-end product owner, covering discovery, prioritisation, design, delivery, launch, adoption, iteration, and retirement as needed.
- Make data-driven decisions balancing user value, technical feasibility, risk, and operational readiness.
- Partner with external vendors, including evaluation, onboarding, contract development, release oversight, and performance management.
- Manage AI tooling and service contracts, ensuring all product changes/feature updates are assessed rigorously before rollout.
Responsible Use of AI, Risk & Governance
- Ensure AI products and experiments comply with the firm’s governance, risk, and compliance standards.
- Complete an AI Risk Assessment (AIRA) before any pilot or trial, covering intended use, data handling/security during trials, and updating terms as projects advance.
- Coordinate with Risk & Compliance, Procurement, Security, and control functions to ensure proper assessment and oversight before rollouts at any stage (pilot, trial, or production).
- Embed responsible AI principles into product design, including:
- Clear intended use and guardrails (data sensitivity, IP protections).
- Human oversight, monitoring, and change control.
- Escalate material scope, supplier, use-case, or risk changes proactively, ensuring accountability and mitigation.
Client-Facing and Commercial Impact
- Identify and deliver AI-enabled capabilities that:
- Improve client outcomes.
- Support client-facing propositions (efficiency, insights, differentiated service).
- Partner with Business Development, practice leads, and product teams to explore revenue-generating AI and innovation opportunities while ensuring governance, contracts, and confidentiality align with legal service standards (e.g., confidentiality safeguards, IP clauses, supplier liability).*
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Essential Skills and Experience
- Proven expertise as an AI/ML or digital product manager in a modern, fast-moving organisation, with a track record of shipping solutions delivering measurable outcomes (KPIs, adoption metrics, cost savings, etc.).
- Legal services, professional services, or regulated industry experience, particularly exposure to data-sensitive environments (confidentiality, audit trails, compliance).
- Strong product craftsmanship in:
- Discovery, prioritisation, roadmap planning.
- Iterative development and iterative delivery frameworks.
- Launch/growth strategies, adoption frameworks, and lifecycle management.
- Exceptional stakeholder management, capable of advocating effectively for product vision with senior leaders, subject-matter experts, and cross-functional teams.
- A hands-on understanding of AI/automation products in regulated environments, including:
- Data quality and assumptions.
- Operational constraints (growth, adoption, safety).
- User trust-building strategies.
- Proven capability to solve ambiguous problems, make tough trade-offs, and communicate complex concepts clearly—both in writing and verbally.
- Experience partnering with engineering/data/security teams to design, test, and deploy scalable, high-quality solutions.
Desirable Experience
- Direct experience launching or scaling generative AI tools (LLMs, vision systems, etc.) in production environments with strong governance requirements (e.g., legal, compliance, ethical constraints).
- Specialisation in AI adoption strategies, particularly in organisations with diverse user populations (e.g., lawyers vs. knowledge teams vs. front-office operations).
- Knowledge of AI governance frameworks, including:
- AI literacy training needs.
- Broader regulatory landscape (e.g., EU AI Act, GDPR, conflict-of-interest controls).
- Supplier-specific roles in AI (e.g., comprehensive redress policies).
- Expertise in managing vendor relationships for AI technologies, navigating terms related to supply chain, confidentiality, IP, and intellectual property rights.
Note: This outline represents key components of the role but is not exhaustive. Additional responsibilities may be assigned by management as needed.
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