Lawhive

Financial Planning and Analysis

• Invoice processing across UK and US entities
• Assisting with month-end close, including journal postings and balance sheet reconciliations
• Bank reconciliations across multiple entities and currencies
• Supporting payroll processing and related journal entries (UK and US)
• Assisting with VAT returns and other compliance filings
• Maintaining accurate financial records
• Supporting expense management processes (Payhawk)
• Covering and responding to Finance tickets and the Accounts inbox
• Ad hoc reporting and analysis to support the wider finance team

Finance Associate

Team Lead

• Lead the team: train, mentor and manage a high-performing team of Document Centre Associates.
• Run the day-to-day operation: receipt, sorting, scanning and assignment of all incoming physical case documents.
• Oversee document production and dispatch: correspondence, notices and court bundles produced on lawyer instruction and delivered within SLA, including when court deadlines are tight.
• Monitor and improve the key metrics: scanning and assignment turnaround, ticket response times for lawyer requests, and production accuracy. Redesign processes as volumes grow rather than adding headcount to broken ones.
• Build quality control: dual-operation checks with a clear audit trail, and training that gets new hires productive quickly and consistently.
• Maintain the audit trail: every physical document tracked from receipt through to safe handover or secure destruction.
• Partner across the firm: work closely with Lawyer Support and Compliance so all processing stays within our regulatory and data protection obligations.

Document Centre Team Lead

Content Manager

• Own and execute Lawhive's social media strategy across LinkedIn, Instagram, TikTok and emerging platforms
• Develop and maintain a content calendar aligned to company priorities, product launches and growth goals
• Identify opportunities to participate in relevant conversations across AI, legal, startup and technology sectors
• Translate business objectives into social activity with clear audience and engagement goals
• Monitor platform developments, industry trends and competitor activity to keep our approach sharp
• Manage engagement across all social channels and build genuine community around the Lawhive brand
• Drive founder-led and employee advocacy programmes to amplify reach and credibility
• Identify and build relationships with relevant creators, communities and industry voices
• Spot and act on opportunities to grow audience, reach and organic engagement
• Bring strategy to life through written, visual and video content across multiple formats and channels
• Develop recurring content series and campaigns that build brand recognition over time
• Translate complex legal and technology topics into accessible, engaging social content
• Capture content from company events, team activity and customer stories
• Ensure all output aligns with Lawhive's tone of voice and brand guidelines
• Track, analyse and report on social performance across all channels
• Run experiments across formats, messaging and channels to continuously improve results
• Use audience insights and platform data to inform strategy and prioritisation

Content Lead

Data Engineer

• Design, build, and maintain scalable, reliable data pipelines across GCP and AWS infrastructure, with BigQuery as our warehouse
• Own and evolve our Dagster orchestration layer, ensuring pipelines are observable, testable, and operationally robust
• Architect and implement ingestion patterns for diverse source systems, from SaaS APIs to acquired firm data with unstructured schemas
• Define and enforce data quality standards at the ingestion layer: completeness, freshness, lineage, security, privacy and schema contracts
• Build the technical playbook for onboarding acquired firms’ data into Lawhive’s canonical data model
• Design repeatable ELT patterns that handle conflicting schemas, messy legacy systems, and varying data quality, making firm onboarding a weeks-not-months process
• Partner with Analytics Engineering on the canonical Lawhive data model, ensuring upstream pipelines deliver clean, well-structured data
• Enabling access controls and privacy-preserving access to firm tenanted data
• Apply LLMs and AI tooling (Claude Code, Cursor) to data engineering tasks: entity resolution, schema mapping, automated data quality checks, and pipeline generation
• Partner with our AI/ML teams to build reliable data pipelines that feed model training and inference workflows
• Building scalable storage and processing solutions for various data and AI projects and products
• Proactively monitor and optimise BigQuery usage for query performance and cost efficiency as data volumes grow
• Evaluate and recommend tooling changes to keep the stack modern, efficient, and fit for AI-native workflows
• Work closely with the Analytics Engineer and Data Analysts to ensure the platform supports self-serve analytics and the dbt semantic layer
• Partner with Product and Engineering to instrument new product features and surface clean event data
• Contribute to documentation and runbooks that make the platform accessible and understandable across the team.

Senior Data Engineer

Attorney

• Manage a portfolio of family law matters end-to-end, including divorce, legal separation, child custody, parenting time, child support, spousal maintenance, property division, and post-decree modifications
• Represent clients at hearings, conferences, mediations, evidentiary proceedings, and trials in Arizona courts
• Draft and review pleadings, motions, discovery, settlement agreements, pre-trial statements, and other legal documents
• Conduct client consultations, provide clear and informed legal advice, and guide clients through complex and emotionally sensitive decisions
• Negotiate settlements and represent clients effectively in discussions with opposing counsel
• Conduct legal research to support case preparation and stay current on Arizona family law procedure and developments
• Collaborate closely with the firm's paralegal and Case Managers to ensure matters progress efficiently and clients are kept well-informed
• Use Lawhive's proprietary AI to assist with drafting, document management, and matter workflows as part of your day-to-day practice

Family Law Attorney

Backend Engineer

• Developing production-ready APIs and services that expose AI functionality to internal and external applications.
• Improving reliability & monitoring for AI-driven applications in production.
• Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice).
• Collaborating with AI engineers to ensure smooth deployment of AI workflows and models into production.
• Working with event-driven architectures and async workflows to process large-scale AI workloads efficiently.
• Ensuring security & compliance in AI-driven legal services.

Staff Python Engineer

Product Manager

• Own the delivery of our AI operating system and core platforms
• Partner directly with engineering and AI teams to translate complex, high-level objectives into deeply technical requirements and delivery plans
• Dissect intricate system challenges and workflows to ensure engineers are unblocked and building the right things efficiently
• Focus heavily on delivery, technical execution, and analytical/strategic platform work
• Drive the core capabilities of our Lawrence AI engine and platform architecture
• Create and maintain tight, delivery-oriented feedback loops with the technical team
• Immerse yourself in the legal domain to understand unique constraints and workflows
• Work with the leadership team on product strategy, vision, priorities, and technical roadmap

Full-stack Engineer

• Building entire products and features using modern technologies across the entire stack with a highly technical team
• Resolving technical issues and making critical decisions which affect our apps, sites and projects
• Delivering delightful user experiences and being user-focused in decision making
• Ensuring our products evolve quickly and safely with the best development, security and testing practices
• Ensuring your own and the team’s code and product quality is consistently high and improving

Product Engineer

Product Designer

• Own end-to-end UX across our Legal and AI products
• Move fluidly from strategy to execution
• Design clear, usable, high-quality interfaces for lawyers and legal clients
• Work daily with product and engineering to ship quickly
• Contribute to product process and team growth
• Design in or alongside the browser, not just in Figma
• Work comfortably with front-end primitives (components, tokens, HTML/CSS, React)
• Prototype and experiment using code or AI-assisted tools where it helps
• Design AI-native experiences (human-in-the-loop, trust, ambiguity)
• Develop design systems, handle edge cases and chase polish
• Design digital assets for marketing, launches and landing pages
• Collaborate with Creative Studio and Marketing on public-facing work
• Contribute to the evolution of Lawhive’s visual identity

Platform Engineer

• Build and maintain the infrastructure that underpins all of Lawhive’s products
• Own cloud environments, deployment pipelines, security foundations and observability
• Ensure collaboration with product engineers
• Execute on security and compliance roadmaps

• Partner directly with lawyers and legal teams to understand workflows, pain points and opportunities for improvement
• Design, implement and optimise legal processes powered by AI and automation
• Translate legal and operational requirements into scalable systems and workflows
• Work closely with product, engineering and AI teams to shape new features and capabilities
• Support the onboarding and integration of newly acquired law firms onto the Lawhive platform
• Build and maintain automations, workflows and internal tools that improve lawyer productivity
• Analyse operational and legal data to identify opportunities for efficiency and better client outcomes
• Help define best practices for how AI should be embedded into legal work
• Act as a bridge between legal, operational and technical teams

Legal Engineer

Data Scientist

• Diagnose and improve our data stack in your first 12 months. Propose a target architecture against our goals of AI-native self-serve-first analytics (warehouse, modelling, semantic layer, BI, exploration). Replace tools where needed
• Design and own the acquisition data integration playbook. Build a canonical Lawhive data model that future systems map to. Make firm onboarding a repeatable weeks-not-months process
• Make Lawhive self-serve on data. Build the platform, modelling, and semantic layer that lets business users explore, drill in, and answer their own questions
• Define and enforce data quality SLAs. Freshness, accuracy, ownership coverage, end-to-end lineage
• Lead and grow the data team. Coach analysts into stronger cross-functional partners. Hire and onboard a data integration engineer in year 1
• Partner with Strategy on metric definition. You own instrumentation, semantic layer, and accuracy. They own the metric tree. Together you run the metric council
• Drive AI-native practices inside the data function. Use LLMs for entity resolution, schema mapping, data quality, and exploration. Set the bar for how a data team works in 2026
• Be a key cross-functional partner to Product, Engineering, Finance, Strategy, and the operational teams within acquired firms

Head of Data

Communications

• Develop and own Lawhive's overall communications and PR strategy
• Build and execute proactive media relations programmes that increase awareness of Lawhive and our mission
• Establish Lawhive's founders and leadership team as leading voices in AI, legal innovation and the future of professional services
• Generate high-impact coverage across national, business, technology and legal media
• Lead communications around major company milestones, funding announcements, product launches and strategic initiatives
• Create compelling narratives and messaging that resonate with customers, lawyers, investors and industry stakeholders
• Manage relationships with journalists, editors, producers and industry influencers
• Develop executive communications, including speeches, opinion pieces, interviews and keynote opportunities
• Partner closely with the Brand, Content and Growth teams to amplify campaigns and maximise earned media opportunities
• Monitor industry trends, competitor activity and emerging issues to identify communications opportunities and risks
• Build reporting frameworks to measure communications impact and influence on brand awareness and business outcomes
• Help establish communications processes, tools and potentially build out the function as the company scales

Head of Communications

Research Engineer

• Conduct applied research on LLM-based reasoning, multi-agent systems and develop frontier bespoke models for automating legal workflows.
• Develop prototypes and experimental models to explore novel AI-driven legal solutions.
• Design and implement retrieval-augmented generation (RAG) pipelines, leveraging embeddings, vector databases, and structured retrieval techniques.
• Optimise LLM inference and fine-tuning using techniques such as LoRA, PEFT, prompt engineering, and caching.
• Integrate multi-modal and external knowledge sources to enhance AI-driven insights.
• Research and implement autonomous agentic AI systems for complex, multi-step legal workflows.
• Stay up to date with the latest advancements in model architectures, alignment and interpretability, and orchestrating complex multi-agent systems.
• Collaborate with engineers to transition experimental models into production-ready systems.