About Wexler 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 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. About the Role 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. Responsibilities: Architect, build and scale full-stack applications that power Wexler's agentic systems for document analysis Develop customer-facing features, internal tooling and DevOps infrastructure to support our growing platform Collaborate with AI engineers to integrate LLM capabilities into production-ready software systems Build robust, scalable backend systems using modern technologies and cloud infrastructure Create intuitive user interfaces that allow legal professionals to interact seamlessly with AI-powered tools Contribute to technical architecture decisions and help establish engineering best practices Work directly with customers to understand their needs and rapidly iterate on solutions Technical Must-Haves: Strong experience with Node.js and TypeScript for backend development Strong Python experience for AI system development Proficiency with PostgreSQL for database design and optimisation Hands-on experience with AWS cloud services and infrastructure Full-stack development experience with modern frontend frameworks Experience building scalable, production-grade systems Understanding of DevOps practices and CI/CD pipelines You will be: A builder with a track record of shipping new product features or architectures in a fast-paced environment Driven by building fantastic product experiences - you can put yourself in the users shoes and understand their struggles Fascinated by AI and excited to build products at the bleeding edge of this once in a lifetime platform shift (but you don't need to have any prior AI experience) Full-stack and happy to get stuck in where needed most, be it working on customer-facing features, internal tooling or improving our DevOps Excited to work in a startup environment. You're excited by the idea of speaking with customers in the morning and shipping features to solve their problems in the afternoon. You're ok with priorities changing and you're comfortable with risk Someone who values working with people who are low ego, ambitious and pragmatic Comfortable figuring out how to build things you haven't built before Excited to work in-person from our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person What We Offer: Competitive salary and significant equity Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI Budget for learning and professional growth Bi-annual team retreats Work closely with experienced founders and a team of AI scientists and engineers About the opportunity: 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. Some topics you'll think about: Delightful 'agentic' product experiences: Legal AI has largely revolved around AI assistants. we are building workflows that solve specific tasks for expert users. You will be obsessed with defining and building these features. Scale: architecting systems that scale with our commercial growth, delivering each user a delightful, performant and magical experience. Security: our customers treat their clients with the highest degree of sensitivity and security. The software we build meets the highest standards of security, ever evolving in the world of AI. 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 .
03/02/2026
Full time
About Wexler 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 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. About the Role 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. Responsibilities: Architect, build and scale full-stack applications that power Wexler's agentic systems for document analysis Develop customer-facing features, internal tooling and DevOps infrastructure to support our growing platform Collaborate with AI engineers to integrate LLM capabilities into production-ready software systems Build robust, scalable backend systems using modern technologies and cloud infrastructure Create intuitive user interfaces that allow legal professionals to interact seamlessly with AI-powered tools Contribute to technical architecture decisions and help establish engineering best practices Work directly with customers to understand their needs and rapidly iterate on solutions Technical Must-Haves: Strong experience with Node.js and TypeScript for backend development Strong Python experience for AI system development Proficiency with PostgreSQL for database design and optimisation Hands-on experience with AWS cloud services and infrastructure Full-stack development experience with modern frontend frameworks Experience building scalable, production-grade systems Understanding of DevOps practices and CI/CD pipelines You will be: A builder with a track record of shipping new product features or architectures in a fast-paced environment Driven by building fantastic product experiences - you can put yourself in the users shoes and understand their struggles Fascinated by AI and excited to build products at the bleeding edge of this once in a lifetime platform shift (but you don't need to have any prior AI experience) Full-stack and happy to get stuck in where needed most, be it working on customer-facing features, internal tooling or improving our DevOps Excited to work in a startup environment. You're excited by the idea of speaking with customers in the morning and shipping features to solve their problems in the afternoon. You're ok with priorities changing and you're comfortable with risk Someone who values working with people who are low ego, ambitious and pragmatic Comfortable figuring out how to build things you haven't built before Excited to work in-person from our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person What We Offer: Competitive salary and significant equity Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI Budget for learning and professional growth Bi-annual team retreats Work closely with experienced founders and a team of AI scientists and engineers About the opportunity: 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. Some topics you'll think about: Delightful 'agentic' product experiences: Legal AI has largely revolved around AI assistants. we are building workflows that solve specific tasks for expert users. You will be obsessed with defining and building these features. Scale: architecting systems that scale with our commercial growth, delivering each user a delightful, performant and magical experience. Security: our customers treat their clients with the highest degree of sensitivity and security. The software we build meets the highest standards of security, ever evolving in the world of AI. 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 .
A legal AI technology firm in London is seeking an exceptional AI engineer to shape the future of legal work. You will design and build systems that analyze millions of documents to extract critical information for legal battles. The ideal candidate has expert-level Python skills and experience with LLM systems. This role offers a competitive salary of £70-90K plus substantial autonomy in a fast-paced startup environment.
03/02/2026
Full time
A legal AI technology firm in London is seeking an exceptional AI engineer to shape the future of legal work. You will design and build systems that analyze millions of documents to extract critical information for legal battles. The ideal candidate has expert-level Python skills and experience with LLM systems. This role offers a competitive salary of £70-90K plus substantial autonomy in a fast-paced startup environment.
About Wexler 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 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. About the Role We are looking for an exceptional AI engineer to shape the future of legal work. We are building agentic systems that analyse millions of documents to extract the critical factual information that wins legal battles. As a core member of the team, you will have direct oversight of the AI strategy, manipulating the most powerful technology in software to solve real problems faced by some of the world's most expert litigators. Responsibilities Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D. Drive advanced prompt-engineering practice to maximise model efficacy. Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient. Own clean, modular Python back-end code for data-intensive systems, balancing real-world constraints such as token limits, cost and latency. Technical Must-Haves Expert-level Python with a track record of shipping production LLM systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling). Ability to juggle token limits, cost and latency while delivering structured outputs. You will be: A builder. You might spend your weekends at hackathons or playing around with DeepSeek. You love working with LLMs to crystallise new ideas and make them reality Excited to work in our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person. Excited to work with a group of kind, ambitious builders solving challenging problems for enterprise clients. Fascinated with AI and LLMs. You want to understand how they are made, what you can do with them, and where they are going. You will come to the office with new ideas which we can turn into production in a matter of hours. Ready to work in a fast-paced startup environment with evolving requirements and priorities What We Offer Competitive salary and meaningful early-stage equity (£70-90K) Huge autonomy and ownership. You will be designing and realising AI systems for some of the most expert users in AI. Budget for learning and professional growth Bi-annual team retreats About the opportunity: 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. Lastly, 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 .
02/02/2026
Full time
About Wexler 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 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. About the Role We are looking for an exceptional AI engineer to shape the future of legal work. We are building agentic systems that analyse millions of documents to extract the critical factual information that wins legal battles. As a core member of the team, you will have direct oversight of the AI strategy, manipulating the most powerful technology in software to solve real problems faced by some of the world's most expert litigators. Responsibilities Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D. Drive advanced prompt-engineering practice to maximise model efficacy. Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient. Own clean, modular Python back-end code for data-intensive systems, balancing real-world constraints such as token limits, cost and latency. Technical Must-Haves Expert-level Python with a track record of shipping production LLM systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling). Ability to juggle token limits, cost and latency while delivering structured outputs. You will be: A builder. You might spend your weekends at hackathons or playing around with DeepSeek. You love working with LLMs to crystallise new ideas and make them reality Excited to work in our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person. Excited to work with a group of kind, ambitious builders solving challenging problems for enterprise clients. Fascinated with AI and LLMs. You want to understand how they are made, what you can do with them, and where they are going. You will come to the office with new ideas which we can turn into production in a matter of hours. Ready to work in a fast-paced startup environment with evolving requirements and priorities What We Offer Competitive salary and meaningful early-stage equity (£70-90K) Huge autonomy and ownership. You will be designing and realising AI systems for some of the most expert users in AI. Budget for learning and professional growth Bi-annual team retreats About the opportunity: 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. Lastly, 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 .
About Wexler 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. About the Role As our first dedicated security hire, you'll shape and own the foundation of Wexler's security program - spanning infrastructure, product, and compliance. You'll work closely with engineering, operations, and leadership to ensure we're not only secure, but demonstrably so to our customers. Responsibilities: Take ownership of existing security tooling and implement new ones (e.g. endpoint protection, MDM, access controls), ensuring they're effectively configured, maintained, and scaled as the business grows Embed secure by design practices into the development lifecycle - from secure coding and threat modelling to design reviews and CI/CD hardening Monitor systems for irregular behaviour and proactively design detection and prevention mechanisms Ensure infrastructure and applications align with accepted industry standards (e.g. OWASP Top 10, AWS Well Architected Framework) Conduct and lead risk assessments, including third party/vendor reviews and internal evaluations Document and maintain security policies, procedures, and controls as part of our ISO 27001 certified ISMS Partner with GTM and leadership to demonstrate our security posture and compliance maturity to customers and prospects - helping turn security into a commercial advantage You'll love this role if you: Have hands on experience deploying and managing security tooling (EDR, MDM, ZTNA, vulnerability scanners, etc.) and enjoy solving problems at the implementation level Have worked within AWS's security ecosystem and can comfortably navigate enterprise security tools across vendors Have solid foundations in networking, systems, and cloud infrastructure, and can apply frameworks like OWASP and AWS Well Architected to real world scenarios Have experience reviewing and improving product and infrastructure security, including secure SDLC practices (e.g. threat modelling, secure code review, CI/CD hardening) Are familiar with compliance frameworks like ISO 27001 or SOC 2, and can translate technical controls into well documented policies and audit ready evidence Enjoy automating repetitive security tasks (Python, PowerShell, Bash, or via APIs) to improve efficiency and reduce manual work Think proactively about risk reduction - not just fixing bugs but designing processes and controls that uplift the overall security posture Have a generalist mindset and thrive across infrastructure, product, and compliance domains You won't love this role if you: Want to do only policy work or only implementation - this is a hands on, full spectre security role Prefer a slow pace or require perfect clarity before acting - we move fast and prioritise action Feel uncomfortable owning outcomes - you'll be accountable end to end for critical security initiatives Prefer maintaining the status quo - we constantly challenge assumptions and iterate on how security should be done Need a highly structured environment - we're still building, and that includes building the playbook as we go Struggle with ambiguity or need prescriptive direction - you'll get support, but autonomy is key Wait for others to act - we value initiative and bias for ownership What We Offer: Competitive salary and significant equity Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI Budget for learning and professional growth Bi annual team retreats Work closely with experienced founders and a team of AI scientists and engineers About the opportunity: 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 .
02/02/2026
Full time
About Wexler 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. About the Role As our first dedicated security hire, you'll shape and own the foundation of Wexler's security program - spanning infrastructure, product, and compliance. You'll work closely with engineering, operations, and leadership to ensure we're not only secure, but demonstrably so to our customers. Responsibilities: Take ownership of existing security tooling and implement new ones (e.g. endpoint protection, MDM, access controls), ensuring they're effectively configured, maintained, and scaled as the business grows Embed secure by design practices into the development lifecycle - from secure coding and threat modelling to design reviews and CI/CD hardening Monitor systems for irregular behaviour and proactively design detection and prevention mechanisms Ensure infrastructure and applications align with accepted industry standards (e.g. OWASP Top 10, AWS Well Architected Framework) Conduct and lead risk assessments, including third party/vendor reviews and internal evaluations Document and maintain security policies, procedures, and controls as part of our ISO 27001 certified ISMS Partner with GTM and leadership to demonstrate our security posture and compliance maturity to customers and prospects - helping turn security into a commercial advantage You'll love this role if you: Have hands on experience deploying and managing security tooling (EDR, MDM, ZTNA, vulnerability scanners, etc.) and enjoy solving problems at the implementation level Have worked within AWS's security ecosystem and can comfortably navigate enterprise security tools across vendors Have solid foundations in networking, systems, and cloud infrastructure, and can apply frameworks like OWASP and AWS Well Architected to real world scenarios Have experience reviewing and improving product and infrastructure security, including secure SDLC practices (e.g. threat modelling, secure code review, CI/CD hardening) Are familiar with compliance frameworks like ISO 27001 or SOC 2, and can translate technical controls into well documented policies and audit ready evidence Enjoy automating repetitive security tasks (Python, PowerShell, Bash, or via APIs) to improve efficiency and reduce manual work Think proactively about risk reduction - not just fixing bugs but designing processes and controls that uplift the overall security posture Have a generalist mindset and thrive across infrastructure, product, and compliance domains You won't love this role if you: Want to do only policy work or only implementation - this is a hands on, full spectre security role Prefer a slow pace or require perfect clarity before acting - we move fast and prioritise action Feel uncomfortable owning outcomes - you'll be accountable end to end for critical security initiatives Prefer maintaining the status quo - we constantly challenge assumptions and iterate on how security should be done Need a highly structured environment - we're still building, and that includes building the playbook as we go Struggle with ambiguity or need prescriptive direction - you'll get support, but autonomy is key Wait for others to act - we value initiative and bias for ownership What We Offer: Competitive salary and significant equity Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI Budget for learning and professional growth Bi annual team retreats Work closely with experienced founders and a team of AI scientists and engineers About the opportunity: 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 .
A leading AI legal tech firm in London seeks a dedicated security hire to shape and own its security program across infrastructure and product. The successful candidate will monitor systems, ensure strong compliance, and integrate security practices into operations. Applicants should have experience with security tooling and AWS, alongside a hands-on mindset. The role provides competitive salary, equity, and opportunities for professional growth while working with a talented team of AI experts.
02/02/2026
Full time
A leading AI legal tech firm in London seeks a dedicated security hire to shape and own its security program across infrastructure and product. The successful candidate will monitor systems, ensure strong compliance, and integrate security practices into operations. Applicants should have experience with security tooling and AWS, alongside a hands-on mindset. The role provides competitive salary, equity, and opportunities for professional growth while working with a talented team of AI experts.