Ai Enablement Lead
legora
Job Score
90 ptsAbout Us
Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar.
Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes.
1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview.
We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law.
Joining Legora means three things.
We lean in: ownership over titles, outcomes over intentions.
We fight for excellence: high standards, direct, ego-free feedback.
We grow together: as a team and with our customers.
Mission before ego. Everyone contributes. No one coasts.
If you’re driven by impact, pace, and raising the bar. This is the place.
The role
AI is reshaping how legal work gets done, and at Legora we're not just watching that happen — we're building it from the inside.
Our AI Enablement function exists to make sure every team at Legora can build, use, and govern AI well. The function is young, the mandate is broad, and right now it's one person. You'd be joining to own a significant slice of that work — managing engineers, translating business needs into action, and becoming the go-to for anything AI across the organization.
This is a high-ownership generalist seat for someone energized by ambiguity who would rather figure it out and ship than wait for a perfect brief.
What You’ll Be Doing
We operate across three streams — you'll own initiatives in all of them, from rough idea to shipped result:
Build
Coordinate agent and internal tool builds with engineers, keeping projects moving and translating between business needs and technical direction.
Enable
Run training, workshops, and documentation that help teams adopt AI.
Build and grow an AI champions program across the org.
Be the day-to-day support that makes enablement actually land.
Govern
Draft and operationalize guidelines, access policies, and usage guardrails.
Put the standards in place that let us move fast safely.
Across all three, you'll act as a connector — building the relationships and touchpoints that make the function visible and trusted.
Who You Are
Technical foundation: engineering degree (or equivalent), enough coding exposure to hold your own with engineers.
A few years in a fast-moving environment — ops, strategy, product, consulting, program management, or similar. Shape matters more than title.
Genuinely AI-native, or clearly on the way: you reach for AI tools by default and want to go deeper.
True generalist: comfortable switching between strategy, delivery, and people work in the same day.
Exceptional learning speed — you get to depth on unfamiliar things fast and take feedback in quickly.
Strong communicator with a low-ego, collaborative style.
Nice to have
Exposure to legal, GTM, or a regulated / high-trust environment.
Experience with agent platforms, workflow tools, or no/low-code AI.
A track record of starting something from scratch.
What Success Looks Like (the first 6 months)
You’re independently owning initiatives end-to-end across all three streams.
You've taken real ground on at least one initiative in each stream.
You’re a go to person for questions on AI Enablement at Legora.
Legora is an Equal Opportunity Employer
At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
About Advertising
The Advertising area is aimed at the planning, creation, and delivery of communication campaigns to promote brands, products, ideas, or services. Professionals in the sector work in advertising agencies or in-house marketing departments in creative fields (art direction, copywriting), strategic planning, account management, and media buying.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Technical Support
Technical Support is essential to ensure customer satisfaction and retention. Support professionals resolve technical issues, document solutions, and identify patterns that can lead to product improvements.
Key skills include troubleshooting, customer service, technical documentation, ITIL knowledge, and ticketing tools (Zendesk, Freshdesk, Intercom).
Technical support has evolved from a reactive to a proactive function, with high-level professionals working in Customer Engineering and Support Engineering.
About Customer Success
Customer Success is the area responsible for ensuring clients achieve their goals when using the product or service. It is a strategic function for retention, expansion, and customer satisfaction.
Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.
CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).
About QA and Testing
QA and Software Testing are fundamental to ensure the quality and reliability of applications. QA professionals ensure that the delivered product meets requirements and is free of critical defects.
Key skills include manual and automated testing, Selenium, Cypress, Playwright, Postman, JMeter, and CI/CD pipeline knowledge. Performance and security testing are differentiators.
With the adoption of DevOps and continuous deployment, the demand for automation QAs and SDETs continues to grow.
About Communications
The Communications area is strategic for building and maintaining a company's institutional image. It encompasses corporate, internal, and external communication, public relations, press office, and reputation management. Communications professionals are responsible for delivering consistent messages that strengthen the employer brand and market positioning.
Key skills include strategic writing, communication planning, crisis management, media relations, corporate content production, event organization, and digital communication. Knowledge of communication CRMs, press release distribution platforms, and media monitoring tools (Meltwater, Cision) is a differentiator.
Corporate communicators in technology companies are highly valued, especially those who master change communication, employee engagement, and digital communication. The field offers opportunities in startups, scale-ups, and large corporations, with a focus on storytelling, organizational culture, and innovation communication.
About Infrastructure and DevOps
Infrastructure and DevOps are responsible for creating, maintaining, and optimizing IT environments that support applications at scale. This area is fundamental for system reliability and performance.
Key technologies include AWS, GCP, Azure, Docker, Kubernetes, Terraform, Ansible, CI/CD (GitHub Actions, GitLab CI, Jenkins), and monitoring (Datadog, Grafana, Prometheus).
DevOps engineers and SREs are highly sought-after professionals, with salaries among the highest in the technology sector.
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