Join Goodwin’s Global Operations Team, and make a real impact on a global scale. At Goodwin, we work with some of the world’s most successful and innovative investors, entrepreneurs and disruptors in the life sciences, private equity, real estate, technology and financial industries, and where they converge. As part of the Global Operations Team – all business professionals at the firm – you’ll collaborate with colleagues from varied backgrounds and experiences, fostering an environment where cross-functional learning, networking, and collaboration are at the core of what we do.
Here, we’re not just supporting a law firm; we’re partnering with attorneys and clients to deliver cutting-edge solutions in high-stakes litigation and dispute resolution, world-class regulatory compliance and advisory services, and complex transactions. Our commitment to integrity, ingenuity, agility, and ambition drives us, and we’re proud to have been recognised as the “Best Business Team” by The American Lawyer.
This is your opportunity to grow professionally in a dynamic, global environment, surrounded by forward-thinking peers.
The Innovation Solutions Lawyer is a member of the AI & Innovation group, working at the intersection of law, technology, and process design to transform how legal work is performed and legal services are delivered. They are a qualified lawyer with large law firm or in-house experience who brings legal judgment, creativity, and technical fluency to build governed, practice-ready solutions. They will work closely with the firm’s attorneys, Goodwin Builders, Knowledge & Innovation lawyers, and other Digital & Technology members to design, build, and deploy solutions that elevate and expedite the performance of legal tasks and delivery of legal services.
What You Will Do:
- Support the Director of AI Products & Platforms in executing the firm’s strategy for legal innovation, AI adoption, and value realisation across the firm.
- Partner with K&I lawyers and practice group attorneys to translate legal and business requirements into functional, compliant workflows in firm-approved AI and legal tech platforms.
- Conduct user research, usability testing, and feedback sessions with attorneys and paralegals to validate product direction.
- Design, build, and iterate on prototypes for digital solutions, including multi-step and agentic GenAI workflows, retrieval-augmented generation over firm content, and integrations across firm systems via APIs.
- Test and refine digital solutions based on user feedback and measured evaluation results to ensure they are practice-ready and scalable, serving as the first-line technical lead during pilots and rollouts.
- Document all builds, configurations, and prompts. Design and run prompt evaluations, benchmarking, and accuracy/hallucination testing against gold-standard outputs. Define quantitative success criteria to ensure responsible AI use and data governance standards are met.
- Develop training materials, documentation, and other user-facing support resources for the digital solutions.
- Monitor performance, analytics, and user adoption to drive continuous improvement.
- Develop and maintain expertise in the firm’s core practice applications and generative AI legal technologies.
- Stay current on generative AI and legal technology and industry trends to keep the firm at the forefront of responsible technology use.
Who You Are:
- Legal practice degree and admission to practise as a Solicitor of the Senior Courts of England and Wales (England), or equivalent law degree for applicable jurisdiction, required.
- Minimum 4 years' PQE, typically 4 to 6 years, in a transactional practice at a large law firm or in-house legal department, preferably private equity, M&A, funds or real estate. Candidates with other practice backgrounds will be considered where they can show a strong grasp of London transactional workflows.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related analytical field is advantageous in addition to legal qualifications.
- Demonstrated hands-on experience with legal technology or AI-enabled workflows, including experimenting with or building tools to improve legal work. This experience may have been gained in legal practice, a Knowledge & Innovation role, product implementation, or consulting.
- Proven ability to apply legal reasoning and judgment to technology-enabled workflows. Comfortable engaging directly with partners and lawyers at all levels on practice-specific requirements.
- Strong understanding of large law firm workflows and professional obligations. Able to translate legal reasoning into structured, technology-driven processes.
- Professional maturity, initiative, and intellectual agility. A self-starter who contributes ideas and takes ownership of outcomes.
- Experience configuring automation, workflow, or AI tools in a professional services setting.
- Excellent written and verbal communication skills with comfort engaging lawyers and technologists.
- Strong technical aptitude and ability to learn new applications.
- Strong interpersonal skills, customer orientation, and ability to influence across teams and practice groups and communicate effectively with all levels of the firm in a professional manner.
- Project management skills and ability to manage multiple initiatives concurrently.
- Strong organisational skills, ability to prioritise and execute tasks, multitask and meet deadlines.
- Ability to effectively manage work to high quality standards, with a meticulous eye for detail.
- Accountable, assumes responsibility for quality and timeliness of their work.
- Within scope of position, works independently using sound judgment.
- Ability to work collaboratively with members of the AI & Innovation group, legal practitioners, Knowledge & Innovation team, technical staff, and users at the firm.
- Willingness to travel and work flexible hours as needed.
- Hands-on experience building in low-code/no-code and agent-development platforms (e.g., Power Automate, Power Apps, Copilot Studio, or comparable agent-building frameworks) preferred.
- Demonstrated hands-on experience building with generative AI systems, including prompt and context engineering, retrieval-augmented generation, model selection and comparison, output evaluation, and the practical limits of LLMs (hallucination, context windows, non-determinism), together with the related ethical, confidentiality, and usage considerations, required. Candidates will be asked to show work samples.
- Knowledge of document assembly tools and AI-assisted drafting/diligence tools preferred.
- Familiarity with SharePoint, Microsoft Excel, Teams, Box, iManage and Microsoft Office preferred.