Top Legal Tech Jobs

The Sales Development Representative will prospect Fortune 1000 decision-makers through phone, email, and social channels; qualify inbound and outbound leads; generate meetings and pipeline for Account Executives; educate prospects on Leah’s AI and contract lifecycle management solutions; personalize outreach; maintain Salesforce records; collaborate with Sales and Marketing; and achieve activity and pipeline targets.

Provides administrative and case support for business immigration matters by managing mailings, records, databases, documents, status reports, and client follow-ups. The role involves scanning and filing petitions, maintaining accurate case information, learning immigration petition procedures, meeting deadlines, and coordinating with attorneys and paralegals. It is fully onsite in Arlington, Virginia and requires strong organization, communication, attention to detail, and proficiency with office productivity tools.

Handle technology and IP transactions, including drafting, negotiation, diligence, and deal execution for standalone deals and M&A, private equity, and ECVC transactions. Use AI agents to review and generate documents, identify key terms, prepare diligence memos, manage closing workflows, and advise clients on AI-assisted legal processes. Collaborate with partners, clients, counterparties, and technology teams to improve transaction efficiency and service quality.

Conduct cold outreach to tax and accounting firms, book qualified meetings, manage follow-ups and pipeline hygiene, research prospects, learn and communicate a complex AI product, refine messaging, and share market feedback. The role supports Nylon’s US market launch from its Brighton office and requires motivation, resilience, coachability, strong verbal communication, pace, and high agency.

Drafts and negotiates commercial, software, licensing, staffing, professional services, and other technology-related contracts. Oversees complex negotiations, provides quality control, mentors junior team members, supports client delivery, maintains contract data, develops templates and playbooks, and identifies process improvements. Acts as a senior client advisor and escalation point while ensuring delivery compliance and strong client relationships.

Open the New York market for an AI-native legal services business targeting banks, funds, insurers, and other regulated institutions. Build pipeline from zero, engage senior legal and compliance buyers, run complex enterprise sales cycles, coordinate proposals with lawyers, navigate procurement and security reviews, develop positioning and repeatable sales processes, and establish CRM, reporting, and automation. The role will own the commercial motion and eventually hire and scale the team.

Own post-sales customer relationships from implementation through renewal and expansion. Lead onboarding, workflow mapping, platform configuration, adoption, executive business reviews, renewals, customer health, retention, and account expansion. Build trusted relationships with General Counsel, legal operations leaders, and enterprise stakeholders while partnering with Sales, Product, Engineering, and Forward-Deployed Engineers to improve customer outcomes and inform the product roadmap.

Build and maintain core backend services and frontend interfaces for a music metadata and royalties platform. Own features end-to-end, collaborate with founders and designers, optimize for performance, security, and scalability, and integrate modern AI and infra tools.

Manage the operational execution of high-volume paid media campaigns across search, social, and streaming platforms. Lead offshore specialists, audit campaign accuracy, optimize spend and impressions, reduce errors, coach team members, and coordinate with Client Success and Marketing. The role combines hands-on account management with growing people-management responsibilities and requires strong organization, platform expertise, critical thinking, and adaptability.

Lead design and validation of AI-driven legal product capabilities: develop NLP/LLM and generative AI solutions (RAG, prompts), design agentic workflows, build retrieval/hybrid search strategies with embeddings and vector DBs, analyze large legal datasets, establish model evaluation best practices, translate results into product recommendations, collaborate with product and engineering, and mentor junior team members.