Senior Legal Engineer, Genie AI
£60-90k
+ Stock Options
We are a Sunday Times Best Places To Work award winner and Deep learning based software company
Posted today
We are a Sunday Times Best Places To Work award winner and Deep learning based software company
21-100 employees
Posted today
£60-90k
+ Stock Options
21-100 employees
Company mission
Genie AI's mission is to open source the law.
Role
Who you are
- A deep practical understanding of contract law and legal document analysis
- Good drafting skills and experience in contract negotiation
- Mastery in project management and the ability to weave together cross-functional collaboration will be key to your success
- You possess an LLB or equivalent legal qualification, with a strong background in contract law
- You have previously completed Solicitors Qualifying Examination (SQE)
What the job involves
- Join us on our quest to revolutionise the legal industry with the help of AI
- You will work side by side with brilliant AI Scientists, immersing yourself in cutting-edge AI research in the legal domain
- With your legal expertise, you will be the guardian of quality, ensuring our AI's output is as precise and powerful as the finest legal contracts
- The law should be accessible to everyone, and this is where your skills will shine as you craft and manage processes for the human evaluation of AI-generated legal content
- You’ll work hand in hand with our Applied AI Research team, bringing your legal expertise to the creation of AI-driven contract drafting and negotiation tools
- Guided by the wisdom of Alex, our Lead Machine Learning Research Scientist, and supported by Nitish, our CTO and Co-founder, you’ll be part of a user-focused, collaborative team on a quest for constant learning
- As a Legal Engineer at Genie AI you’ll be working in a fast paced and autonomous startup environment
- Partaking in ideation sessions to unearth legal challenges, where you will research, analyse, and share your legal wisdom with the researchers
- Lend your expertise to test, offer feedback, and refine AI solutions as they evolve, ensuring each iteration grows ever more powerful
- Help evaluate our legal output: Infuse our evaluation methodology with legal insights, then recruit and manage legal annotators to gather feedback
- Produce valuable insights and reports from the evaluation research, illuminating the way forward with newfound knowledge
- Manage interdisciplinary projects that bridge law and technology
- By the end of your first two months we expect you to:
- Understand what the evaluation process involves and start thinking about how to shape it
- Take part in Machine Learning discussions about feature design
- Familiarise yourself with the tools we have and immerse yourself in Machine Learning learnings
- Start designing and running evaluations
- Participate in a new Machine Learning project from inception
- We’ll continually develop and measure success on the below criteria:
- Quality of domain advice and feedback that helps us design new AI features
- Ability to set up efficient processes for human evaluation of legal content and providing reliable legal quality metrics
- Producing actionable reports to either help us improve the models or provide us with confidence to launch into production
- We don’t structure your work for you. We give the team the what and the whole team comes up with the how
- We don’t try to get things perfect the first time. We get things to good enough, and then we continuously iterate
- We are inventing a new product, so you’ll be involved in the product refinement sessions
- The autonomy and trust we give you to deliver your best work
- Learning from some of the brightest minds in the field of AI
- The exhilaration of a fast pace start up
Application process
- Step 1: Meet our Head of Talent Acquisition, Char, to assess your motivations and baseline skills
- Step 2: Complete our take home task
- Step 3: Technical interview with Rafie our Co-Founder & CEO, and Alex, our Lead ML Research Scientist
- Step 4: Culture interview with Nitish, our Co-Founder & CTO, and Cat, our Product Marketing Lead
- Step 5: For Lead level roles and above, we collect blind references to set you up for success. These insights help us ensure a smooth transition into our team and foster meaningful collaboration between you and your manager from day one
Our take
Genie AI is a machine learning startup with a mission to open source the law. Its platform automates the drafting and review of legal contracts through workflow tools and AI. Companies on Genie no longer have to pay £5000 to a law firm for their contract, but can pay Genie a cheaper monthly fee instead.
Genie is not just AI - it works with a marketplace of top tier lawyers, combining the best of human and machine intelligence to deeply understand contracts. Its state of the art deep learning, private and explainable machine learning algorithms have been developed in conjunction with professors at Imperial College, UCL and Oxford University, and the team have published papers in top NLP conferences with Oxford University. The company most recently partnered with The University of Bristol to provide free legal contracts for the next generation of entrepreneurs.
Genie is already becoming a leader in the legaltech industry, having been selected on multiple government trade missions, mentioned in parliament by the Secretary of State for Justice, and backed by world leaders such as Lord Neuberger, the former President of the Supreme Court. It is very well positioned in the generative AI market that is expected to be worth around $110B by 2030.
Freddie
Company Specialist at Welcome to the Jungle
Insights
35% female employees
Company
Funding (last 2 of 7 rounds)
Oct 2024
$17.8m
SERIES A
Aug 2023
$0.3m
GRANT
Total funding: $24.5m
Company benefits
- Top of the line MacBook Pro or Air
- Generous home office budget
- Unlimited business or technology books
- Subscription to The Lawyer
- Regular knowledge sharing sessions with experts
- Regular meditation and wellbeing sessions
- Team dinners & pub evenings
- Work from home or in the office
- Personal training budget
- Unlimited holiday
- Cycle to work scheme
- Give to charity with pre-tax payroll giving
- Outdoor hiking trips
- Join our (rather terrible) music band!
- Get free plants, gadgets, food & more with our employee benefits platform
- Work with all the latest apps and technologies
- Private Healthcare
Company values
- Align personal goals with company goals
- Share knowledge, grow together
- Never compromise quality
- Everyone has an equal voice
- Freedom to own what you do
- Think big, take massive risk
- Work should be fun!
Company HQ
London, UK
Articles
Leadership
Nitish Mutha
(CTO)MSc in Machine Learning taught by Google Deepmind, previously Senior Software Engineer at Automatic Data Processing, award winning software engineer and launched Genie AI at Entrepreneur First.
Rafie Faruq
(CEO)MSc in Machine Learning taught by Google Deepmind, previously Bond Trader at Daiwa Capital, lifelong coder and launched Genie AI at Entrepreneur First.
Diversity, Equity & Inclusion at Genie AI
Charlette Hinds (Talent Acquisition Manager)
- Democratising the Law starts with democratising our Teams! And this is why we:
- 1. Have our own Internal Equality, Diversity & Inclusion (ED&I) program defined, hosted & tracked by our Genies
- 2. Host quarterly ED&I sessions with participation on rotation to ensure that all of our Genies are heard & to encourage diversity of thought
- 3. Release anonymous, annual surveys to reveal trends & identify areas of improvement
- 4. Internally host a number of Guilds (voluntary, employee-led groups) whose aim is to foster a more diverse & inclusive workplace. Current Guilds include Hiking Club, Paper club, Music Club, ED&I, Book Club, Legal Learning & Gaming to name a few!
- 5. Have an unlimited budget for all Business, Law & Technology Books
- 6. Every Genie has an annual £500 L&D budget plus an associated 5 days off for any learning
- 7. Offer fully flexible working
- 8. Offer enhanced parental leave package for both parents
- 9. We use an objective scoring system that actively removes bias from the interview process, and try to ensure a good balance of diverse interviewers
- We make our ED&I journey fully transparent so if you would like to review please email our Talent Acquisition Manager, Charlette Hinds
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