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Legal Engineer - Applied Ai Knowledge

legora

OnSite London
AI

Job Score

80 pts
On-site model (+70) AI (+10)

About 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.

What you'll do

Legal AI is inventing its best practices in real time, and this role sits where that happens. You'll sit within the Legal Engineering team and work hand in hand with Product at one of the fastest-growing legal AI companies in the world, seeing new capabilities before almost anyone else, experimenting with them against real legal work, and turning what you learn into the standards a global function runs on. In a year here, you will see and vet more legal AI use cases than most people in the industry see in a career, working directly with some of the best legal engineers in the industry.

This is a judgement role, not a filing one. You'll be the person who vets the skills, workflows and use cases the function ships: testing them hands-on, separating the genuinely strong from the merely plausible, and quality-controlling practice-area workflows so that what carries the Legora name is consistently excellent. You'll research and experiment with prompting techniques and applied AI methods, author the exemplar use cases the rest of the function copies, and teach what you learn: delivering technical onboarding for new Legal Engineers in your region and broadcasting best practices to the team worldwide. And because judgement needs grounding, around 30% of your time stays on live client work, chosen for what it teaches.

Specifically, you will

• Vet the Skills Library and Legal Engineering outputs against the quality bar: review skills, workflows and use cases hands-on before they go live, and quality-control practice-area workflows for consistency.

• Research and experiment with prompting techniques, skill patterns and emerging AI methods, and turn what works into best practices the whole function adopts.

• Author the reference use cases that show what great looks like, published as the exemplars others copy.

• Work closely with the Product team on up-and-coming capabilities: early hands-on testing, the first best practices for new features, and structured feedback from real use.

• Produce materials that would support the technical onboarding and training for new Legal Engineers in your region, such as best practices to create use cases etc.

• Communicate new best practices, exemplars and platform changes to the Legal Engineering team worldwide.

• Support the flagship demos our CEO and C-suite take on stage at the industry’s biggest events: use case preparation, fixtures and rehearsal support.

• Oversee the quality and currency of the use case and skills libraries, including coordination across regions

• Spend roughly 30% of your time on live client work, selected for what it feeds back into the standards and libraries.

What you bring

You're a lawyer with real practice experience who has become genuinely technical: maybe you did a coding bootcamp, maybe you taught yourself, but either way you're the person colleagues ask how something actually works. You live in AI tools, and it shows: you can tell a strong use case from a plausible-sounding weak one, you know why a prompt underperforms before you've finished reading it, and you hold both halves of the judgement this role needs: what makes a prompt run well, and what makes a legal output substantively right rather than merely fluent. When you vet, you vet properly: line by line against the source, with the discipline to put the AI down when the job calls for your own eyes.

We're looking for

• A qualified lawyer with solid practice experience at a leading firm or in-house team, or equivalent: enough substantive judgement to vet outputs across practice areas.

• Real technical prowess: comfortable with code or scripting (a bootcamp or self-taught background counts entirely), and fluent in the mechanics of how AI tools actually behave.

• A heavy, habitual user of AI, ideally legal AI, with sharp prompt and use case discernment: able to rank a strong prompt against a mediocre one, articulate exactly why, and improve it.

• Visible pride in the craft of prompting and use case design: someone who wants to be the reference point for what good looks like.

• Rigour in review: line-by-line verification against source, and the judgement to know exactly when not to use AI.

• Comfortable running high-throughput workstreams: you triage well, keep many threads moving, and build process where volume demands it.

• Experience building skills, workflows or automations in a legal AI platform is a strong plus.

• Good to have: an M&A or wider transactional background, or deal coordination experience.

Where this role can go

This role is built to grow with the field itself. Applied legal AI knowledge barely exists as a discipline yet, and nobody accumulates evidence faster than the person vetting and testing the entire output of a global function. Do this job well and you are positioned to become one of the industry’s recognised voices on what good looks like. Inside Legora, the role is designed to grow into owning applied AI knowledge globally: the standards, techniques and systems every region operates on. Growth is subject to performance and company need, but the direction is deliberate: master the material here first, then define the standard for the industry.

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.

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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.

Discover Other Areas

Understand the scope of work, key skills, and tools used in different career areas.

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The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.

Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.

Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.

About Ecommerce Analyst

The Ecommerce Analyst is the professional responsible for analyzing online sales data, buyer behavior, and virtual store performance to guide strategic decisions. They combine data analysis with ecommerce knowledge to optimize conversion, average order value, and return on investment.

Key skills include Google Analytics (GA4), Hotjar, conversion funnel analysis, cohort analysis, customer segmentation, pricing analysis, and ecommerce metrics (CAC, CLV, AOV, conversion rate). Knowledge of SQL, Power BI, Google Tag Manager, and platforms like Shopify and VTEX is a differentiator.

Ecommerce Analysts in technology companies are highly valued, especially those who can turn buyer behavior data into actionable insights to increase revenue and reduce cart abandonment. The field offers opportunities from junior analyst to ecommerce analytics manager.

About Account Manager

The Account Manager is the professional responsible for managing and expanding the relationship with clients after the sale. They act as a strategic partner, ensuring satisfaction, retention, and account growth, connecting client needs with company solutions.

Key skills include relationship management, negotiation, upsell and cross-sell, contract renewal, account planning, business reviews, metrics analysis (NPS, churn, LTV), and CRM knowledge (Salesforce, HubSpot). Communication, empathy, and business vision are fundamental differentiators.

Account Managers in technology and SaaS companies are highly valued, especially those who can increase recurring revenue (MRR/ARR) through account expansion and churn prevention. The field offers opportunities from account executive to director of accounts, with a focus on strategic relationship, revenue growth, and customer success.

About Branding

Branding is the area responsible for building, managing, and strengthening a brand's identity and market value. Branding professionals create strategies that define how the brand is perceived by the public, from the logo to the complete customer experience.

Key skills include brand strategy, visual identity, brand guidelines, positioning, naming, brand voice, market research, brand equity, and brand management. Knowledge of graphic design (Figma, Illustrator, Photoshop), storytelling, and brand experience is a differentiator.

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About Scrum Master

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Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

The New Paradigm of Digital Marketing and Social Media

The New Paradigm of Digital Marketing and Social Media: Impact, Opportunities, and the Future of the Market

By Mondywork Team | 6-minute read

The Evolution: From "Just Posting" to True Revenue Engines

There was a time when digital marketing was viewed as a secondary department, heavily focused on vanity metrics like likes and follower counts. That era is officially over. In today's global market, Digital Marketing and Social Media Management are the beating heart of customer acquisition, acting as literal Revenue Engines.

Top-tier US startups, unicorns, and global B2B/B2C enterprises have realized that consumer attention is the most expensive asset on the internet. It's no longer just about creativity; it's about merging authentic communication with ruthless data analysis and Artificial Intelligence integrations.

How Does This Market Impact Global Companies?

The impact of modern marketing on the corporate world is absolute. According to the HubSpot State of Marketing report, companies that closely align their digital strategies with sales see a 20% higher revenue growth.

  • CAC Reduction and LTV Focus: Companies rely on marketing professionals to lower Customer Acquisition Cost (CAC) through organic traffic and social media, while simultaneously increasing Lifetime Value (LTV) through retention strategies.
  • Community-Led Growth: Brands don't just want consumers anymore; they want raving fans. Social media has evolved into a community-building channel, where engagement breeds brand advocates who buy repeatedly.
  • Global and Borderless Presence: Digital marketing has shattered geographical borders. A startup in Silicon Valley can easily scale its sales in Europe using campaigns managed by a strategist based in Brazil, Portugal, or anywhere else, working 100% remote.

The 2026 Landscape: What Do Companies Expect?

The digital marketing job market has never been more technical and demanding. The era of the "jack-of-all-trades" generalist is making way for hyper-focused experts and strategists with a systemic vision—the highly sought-after "T-Shaped" professionals.

"Marketing has transitioned from an art based purely on intuition to a science driven by data, predictability, and hyper-segmentation."
— eMarketer Digital Trends

The barrier to entry has risen significantly due to the integration of Artificial Intelligence. Tools that generate copy or images in seconds (like ChatGPT and Midjourney) haven't replaced the professional; they've raised the bar. The market now seeks talent who can "pilot" these AIs to craft strategies, automate workflows using tools like n8n or Zapier, and analyze Business Intelligence (BI) dashboards in Looker Studio.

Golden Opportunities: The Hottest Roles

Highly qualified professionals are being fiercely fought over, especially on platforms like Mondywork, where international companies seek remote talent offering six-figure compensation and global remote flexibility. The areas with the highest demand include:

  1. Growth Marketer / Hacker: The professional focused on rapid experimentation across the marketing funnel (Pirate Metrics - AARRR). They blend marketing, data analysis, and a bit of product engineering to find scalable growth levers.
  2. Performance Manager (Paid Media): The traditional traffic manager has evolved. Today, this professional manages multi-million dollar budgets across Google Ads, Meta Ads, and LinkedIn Ads (essential for B2B), with an absolute focus on ROAS (Return on Ad Spend).
  3. Social Media Strategist & Community Manager: Going far beyond scheduling posts, this talent understands internet culture, dominates short-form formats (TikTok, Reels, Shorts), and knows how to convert a social audience into qualified leads within the company's sales funnel.
  4. SEO & Content Architect: With shifting search algorithms and the impact of AI (Search Generative Experience), the SEO professional who masters search intent, information architecture, and Core Web Vitals is indispensable for long-term organic acquisition.
  5. Marketing Operations (Marketing Ops): The architect behind the curtain. They manage CRMs (Salesforce, HubSpot), email automations, and ensure the entire marketing data infrastructure is flawless.

Is It Worth Entering or Transitioning into This Field?

Absolutely. If you are an analytical, curious professional who understands human behavior and isn't afraid of data spreadsheets, digital marketing offers one of the most promising and flexible career paths in the modern world.

To stand out in rigorous international recruitment systems (ATS like Greenhouse and Ashby), it is crucial that your resume and portfolio showcase real results. Forget generic descriptions; US tech recruiters and Heads of Marketing want to read hard metrics: "Increased organic traffic by 150% in 6 months" or "Managed $500k in ad spend while maintaining CAC 20% below target".

The global market is vast, decentralized, and pays incredibly well for those who know how to turn clicks and views into predictable revenue.