At a Glance
- Tasks: Lead AI product initiatives to enhance legal services and internal efficiency.
- Company: Mishcon, a forward-thinking law firm embracing AI innovation.
- Benefits: Competitive salary, professional development, and a dynamic work environment.
- Other info: Collaborative culture with opportunities for impactful career growth.
- Why this job: Shape the future of legal services with cutting-edge AI solutions.
- Qualifications: Experience in product management and knowledge of AI in regulated environments.
The predicted salary is between 70000 - 90000 £ per year.
Mishcon is investing in Artificial Intelligence (AI) to drive measurable improvements in how we deliver legal services and operate the business.
This includes improving internal efficiency, optimizing legal workflows, and developing client-facing products and services that generate revenue and strengthen client outcomes.
These initiatives span firmwide AI platforms and broader adoption.
Reporting to the AI and Innovation Lead, you will own a portfolio of AI initiatives spanning internal productivity, legal workflow optimisation and selected client‑facing propositions.
You will work at the intersection of user need, business value, technology capability and responsible AI governance.
This is a product leadership role for someone who can identify high‑value problems, shape clear product bets, and take ideas from discovery through to adoption and measurable impact.
You will partner closely with legal teams, business services, engineering, data, security, procurement, risk and compliance, and external vendors to deliver AI solutions that are useful, trusted, safe and commercially meaningful.
Responsibilities
- Own the product strategy and roadmap for a defined portfolio of AI product capabilities and experiments, aligned to the firm’s AI strategy and priorities (efficiency, legal workflow optimisation, and client‑facing value).
- Translate business, client and practice needs into clear problem statements, product opportunities and prioritised outcomes.
Define success measures for your portfolio, including adoption, efficiency gains, quality improvement, risk reduction, client impact and commercial value.
- Shape investment cases and sequencing decisions, balancing near‑term wins with sustainable capability building and buy/partner decisions.
- Lead structured discovery with lawyers, knowledge teams, business services and where appropriate clients to identify problems worth solving and validate demand.
Work in tight collaboration with design, engineering, data/AI specialists and domain experts to test assumptions early (prototypes, pilots, controlled releases), then scale what works.
- Ensure products are designed around real behaviours and constraints, including confidentiality, matter context, quality expectations and change readiness.
- Work closely with engineering, data, design, security and architecture colleagues to deliver secure, reliable and scalable AI solutions.
Act as the product lead through the full lifecycle: discovery, prioritisation, design, delivery, launch, adoption, iteration and retirement where appropriate.
- Drive high‑quality product decisions by balancing user value, technical feasibility, operational readiness and risk.
- Partner with vendors where relevant, including product evaluation, onboarding, contract input, release review and ongoing performance management.
Manage suppliers and contracts for AI tooling and services, ensuring product changes/features are assessed appropriately before rollout.
- Ensure AI products and experiments are developed and deployed in line with the firm’s governance, risk and compliance requirements.
Complete an AIRA in advance of any AI pilot or trial, reflecting intended use, data handling and security during the trial, and update through onboarding/contracting to reflect the final contracted position.
- Partner with Risk & Compliance, Procurement, Security and other control functions to ensure appropriate assessment and oversight is in place before pilots, trials and production use.
- Embed responsible AI principles into product design and delivery, including clear intended use, guardrails, human oversight, monitoring and change control.
Ensure material changes in scope, supplier arrangements, use cases or risk profile are surfaced and managed appropriately.
- Identify and deliver AI‑enabled capabilities that improve client outcomes and support client‑facing propositions (including efficiency, insight and differentiated delivery).
Work with Business Development, practice leadership and product peers to shape where AI & innovation can create revenue opportunities and scalable services – while ensuring governance and contractual positions are fit for a law firm context (confidentiality, IP, supplier terms, liability).
Qualifications
- Essential: Significant experience delivering digital products as a Product Manager in a modern product organisation with a demonstrable record of shipping products that deliver measurable outcomes.
- Experience in legal services, professional services or another regulated environment.
- Strong product craft across discovery, prioritisation, roadmap planning, iterative delivery, launch, adoption and lifecycle management.
- Strong stakeholder management skills, including the ability to work credibly with senior professionals and subject‑matter experts.
- Working knowledge of AI/automation products and the practical constraints of deploying them in real‑world organisations (data quality, adoption, safety, and operational readiness).
- Ability to structure ambiguous problems, make sound trade‑offs and communicate clearly in writing and verbally.
- Experience partnering with engineering/data/security teams to deliver secure, reliable products.
- Desirable: Experience launching or scaling generative AI tools in production environments with strong governance requirements.
- Experience shaping product adoption and enablement strategies in complex organisations with diverse user groups.
- Familiarity with AI governance expectations and risk controls, including AI literacy/training considerations and broader regulatory context (e. g., EU AI Act awareness).
- Experience owning vendor relationships for AI tooling and navigating supplier terms relevant to confidentiality and IP.
- Experience shaping adoption frameworks across business operations (e. g., cross‑functional task forces, single backlog of use cases, rollout and training frameworks).
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager - AI & Innovation in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Mishcon de Reya!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Mishcon de Reya would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Mishcon de Reya through your school's career services!
We think you need these skills to ace Product Manager - AI & Innovation in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager - AI & Innovation, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Manager - AI & Innovation position at Mishcon de Reya. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Mishcon de Reya
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
