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A legal tech startup in London is seeking a full-stack engineer to develop document analysis systems powered by AI. The role involves working closely with founders on architecture, building features, and collaborating with AI engineers. Ideal candidates will have strong skills in Node.js, TypeScript, Python, and AWS, alongside a passion for creating user-friendly solutions. This offers a competitive salary, significant equity, and an opportunity to work in a dynamic startup environment.
Wexler is building the best AI system for litigation on the planet. We work with some of the world’s largest law firms, helping them to solve their most complex cases, find the winning strategy in each matter, and create clarity from the chaos of documents and facts in each case. We are a rapidly growing, legal AI company based in London. Clifford Chance, HSFKramer, Goodwin, Addleshaw Goddard and more rely on us to help find the critical facts that can determine their chances of winning a case.
We’re backed with a $5.3M Seed by Pear VC, Seedcamp, The LegalTechFund + many leading industry angels.
We are building a comprehensive AI platform for managing, resolving and preventing legal disputes across Enterprise law firms and Fortune500 companies. We are growing 10x YoY and signing more eminent firms every month. Our system extracts, objective, cross referenced facts from millions of documents, helping litigators win more cases whilst saving months of working hours. In this way we ensure every client gets the representation they deserve.
AI is transforming the law, but most tools have focused on contract law or are generalist copilots that aggregate the tasks lawyers do across practices. Wexler is the leading gen-AI platform specifically built for the nuances of litigation, and our growth proves the story is resonating.
We're seeking an entrepreneurial full-stack engineer who will work closely with the founders to architect, build and scale Wexler's agentic systems for document analysis, powered by our state-of-art fact extraction engine.
As a Software Engineer, you will work closely with the founding technical team and contribute to the technical architecture of our product and delivery of our ambitious product roadmap.
You’ll play a key role in shaping the culture of our Technical organisation and will learn alongside expert Software and Machine Learning Engineers. You will rapidly take on more responsibility and have a clear path to a leadership position.
Please note we have two open positions for this role.
Legal AI has caught the attention of VCs and the wider tech world, but the reality is adoption with users is low in the enterprise, with roughly 20% of lawyers using AI tech. Of those lawyers, most are transactional or contract lawyers and they use generalist platforms that look to aggregate the tasks lawyers do but do not go deep into specific workflows. That's where Wexler is different. We are a 'scalpel' rather than a 'Swiss Army knife', meaning we go deep into the workflows that can decide how a legal case is won. We have extremely positive feedback from lawyers, and we have an ambitious roadmap of features to expand our coverage while retaining the forensic detail that makes our product great.
Note: If you think you don't quite fit the bill but you'd still be interested in chatting for a different role, get in touch at careers@wexler.ai.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.