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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.

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The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.

Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.

Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.

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Key methodologies include PMBOK, PRINCE2, Scrum, and Kanban. Tools like Jira, Asana, Monday, and MS Project are widely used in daily work.

Certifications like PMP and PgMP are important differentiators in the market, with growing demand in technology and consulting companies.

About Data

The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.

Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.

The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.

About Office Suite

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Key skills include advanced Excel (formulas, pivot tables, Power Query, VBA/Macros), Word (formatting, mail merge, styles), PowerPoint (presentation design, animations), Outlook (email and calendar management), and collaborative tools like Google Sheets, Notion, and Airtable.

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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

Why the Data Era Has Never Been More Profitable

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The Data Market Explosion

A decade ago, oil was considered the world's most valuable resource; today, that title indisputably belongs to data. However, raw data without interpretation is just noise. It is exactly at this turning point that the Business Intelligence (BI) market exploded in demand and financial valuation.

Companies of all sizes, from agile startups to global unicorns, have realized they can no longer base their decisions on guesswork. The BI professional has become the architect of financial and operational predictability. According to Gartner, in its annual reports on the Magic Quadrant for Analytics and BI, adopting business intelligence platforms is no longer a competitive advantage, but a matter of corporate survival.

The Required Profile: Way Beyond the Dashboard

The biggest mistake professionals make when trying to transition into Business Intelligence is believing the job comes down to creating pretty visual panels (Dashboards). Today's market, especially international companies paying six-figure salaries, requires a deep analytical mindset combined with solid technical skills.

Tech Recruiters are configuring their ATS systems (like Greenhouse and Ashby) to filter candidates who master the following verticals:

  • Data Modeling and ETL: The ability to Extract, Transform, and Load data from multiple sources into a Data Warehouse or Data Lake.
  • Query Languages: Advanced proficiency in SQL remains the backbone of any data operation.
  • Advanced Visualization: Tools like Microsoft Power BI (with deep knowledge in DAX), Tableau, and Looker are mandatory requirements.
  • Critical Thinking & Business Acumen: As highlighted by the Harvard Business Review, data professionals must translate technical complexity into clear answers for C-Level executives.

Compensation and the Global Job Route (US Remote)

The Business Intelligence market is perfectly adaptable to the Remote Worldwide model. Because the work essentially deals with cloud infrastructure and logical analysis, geographical barriers have been completely eliminated.

"The ability to analyze massive volumes of data and extract actionable insights is the most valued skill in the new digital economy. The global market is literally buying intelligence."

For global professionals, this represents a golden opportunity. North American and European startups are actively seeking Senior BI talent to work remotely, offering compensation in strong currencies (USD and EUR) through B2B contracts. Base salaries that easily surpass the $80,000 to $120,000+ range (six-figure compensation) are a common reality for Mid-level and Senior analysts who have fluent English and a robust analytical portfolio.

How to Stand Out in the Technical Interview

To break through the technical interview barrier for premium BI positions, candidates must prepare a problem-oriented portfolio. Instead of presenting a generic sales dashboard, showcase a documented case study. Show the data source, how the SQL was structured for cleansing, which predictive or statistical models were applied, and, most importantly, what was the financial impact (ROI) of that analysis.