Litera

Solutions Engineer

• Engage with assigned customers to build key relationships and partner on product adoption.
• Develop and maintain expertise in designated Litera products to lead trainings, consultations and discovery sessions.
• Advise on prompting techniques to enable customers to maximize value from GenAI features.
• Create and execute account-specific plans to drive end-user engagement, grow usage and build positive customer sentiment.
• Monitor usage data and customer feedback to identify white space for growth, spot key trends, and provide recommendations for further engagement.
• Establish champions and advocates to facilitate case study and testimonial initiatives.
• Influence product roadmaps by articulating customer feedback and target use cases.
• Onboard new customers through role-based enablement and support product owners with roll-out planning.

Solutions Consultant, Legal Experience Preferred

• Engage with assigned customers to build key relationships and partner on product adoption
• Create and execute account-specific plans to drive end-user engagement
• Develop and maintain expertise in designated Litera products to lead trainings
• Advise on prompting techniques to enable customers to maximize value
• Monitor usage data and customer feedback to identify white space for growth

Solutions Consultant

Analyst

• Actively automate data workflows using Power Platform tools (particularly Power Automate) to integrate various systems (ERP, CRM, Warehouse) eliminating manual processes.
• Establish governance policies and maintain thorough technical documentation (for ETL processes, sources, and definitions).
• Lead development and integration of business-critical applications using Microsoft Power Platform.
• Design data models, workflows, and integrations with external systems using APIs and custom connectors.
• Build and manage Power Automate flows to automate data movement, transformation, and notifications across systems.
• Connect and orchestrate data pipelines between on-premises SQL databases and cloud services using Azure Data Factory (ADF) and Power Automate connectors.
• Validate and monitor automated processes to ensure accuracy and reliability.
• Deliver test migrations and integrations, manage issue logs and lead issue review meetings with internal and external stakeholders.
• Support go-live activities by ensuring data readiness, flow reliability, and access control.

Data Service Analyst

Implementation Specialist

• Lead and deliver standard onboarding and implementation projects end-to-end
• Execute technical tasks including configuration, deployment, validation, and optimisation
• Work directly with customers during implementation phases, including leading technical discussions where appropriate
• Follow established designs and contribute to implementation planning
• Identify risks, dependencies, and technical considerations during delivery
• Collaborate with senior team members on complex or non-standard architectures
• Translate high-level designs into actionable implementation steps
• Build effective working relationships with customers during delivery
• Communicate technical concepts clearly to both technical and non-technical stakeholders
• Produce and maintain high-quality technical documentation, including implementation guides and configuration records
• Troubleshoot and resolve technical issues during onboarding and delivery

Technical Implementation Engineer

Support Engineer

• Deliver end-to-end case management: intake, troubleshooting, resolution, and closure with proactive updates and SLA adherence.
• Develop and document clear technical action plans (3Ws: Who, What, When) for complex customer issues.
• Troubleshoot product installation, performance, configuration, and integration issues.
• Reproduce customer-reported issues using lab environments to isolate root cause and validate fixes.
• Perform real-time support sessions via phone, screen share, or chat to analyze and remediate customer systems.
• Collect logs and technical diagnostics; analyze and summarize key findings.
• Escalate product issues, defects, or platform risks to Technical Services, Engineering, or Account Teams as appropriate.
• Manage and maintain personal case queues, including ticket hygiene and suspended queue cases.

Technical Support Engineer

Operations

• Fine-tune pre-trained models for specific use cases
• Curate and prepare datasets for training
• Manage training infrastructure, resources, and computational environments
• Implement optimization techniques to improve model performance
• Develop and manage APIs for model serving
• Scale infrastructure to handle varying demand loads
• Build and maintain the GenAI middleware/sidecar layer
• Integrate LLMs with existing systems and data sources
• Track performance metrics including latency and throughput
• Monitor quality metrics such as hallucination rates and accuracy
• Optimize costs associated with model inference and training
• Create and maintain dashboards for real-time performance insights
• Create and maintain golden datasets for benchmark testing
• Implement statistical validation methods for model outputs
• Set up similarity matching criteria for response evaluation
• Develop confidence score thresholds for production systems
• Design and implement user feedback collection systems
• Establish continuous improvement processes
• Create A/B testing frameworks for model and feature evaluation
• Conduct trace analysis to identify areas for performance optimization
• Implement content moderation systems
• Detect and mitigate bias in model outputs
• Ensure regulatory compliance in AI systems
• Develop output validation frameworks
• Version and store prompts systematically
• Create and maintain prompt templates
• Set up playground environments for prompt testing
• Abstract prompts from application code for better maintainability

LLM Ops Engineer

Growth Marketing

• Partner with the product marketing and content teams to design and execute demand generation programs to create compelling demand gen content and offerings mapped to buyer personas, pain points, and buying cycles
• Work closely with Sales Leaders to develop and support whitespace and product focused ABM programs plans to help Litera drive incremental pipeline and bookings
• Forecast, analyze, and evaluate the effectiveness of all demand generation and awareness activities; report on program activities, including cost per lead, cost per response, trends, conversion to opportunity rates, contribution to sales pipeline, ROI, etc.
• For all programs, work with content marketing to initiate landing page creation, email copy, and automated workflows to support the execution of digital programs
• Manage and execute global virtual events, webinars, multi-touch emails, 3rd party sponsorships, etc.
• Work closely with Business Development Representative (BDR) team and Customer Success Managers (CSMA) to improve MEL, MQL, and SQL conversion rates and lead handling processes

Growth Marketing Manager

Marketing Operations

• Own the marketing technology stack and work to continuously improve existing integrations and workflows between systems.
• Oversee the execution and QA of marketing campaigns, workflows, nurture programs, and automation and suggest improvements based on industry best practices.
• Build and maintain dashboards for pipeline, attribution, campaign ROI, and performance analytics.
• Develop scalable processes for execution, QA, compliance, and reporting.
• Collaborate closely with Demand Generation, Sales, Product Marketing, and Revenue Operations.

Senior Manager, Marketing Operations

• Automate data workflows using Power Platform tools (particularly Power Automate)
• Integrate various systems (ERP, CRM, Warehouse) eliminating manual processes
• Establish governance policies and maintain thorough technical documentation (for ETL processes, sources, and definitions)
• Lead development and integration of business-critical applications using Microsoft Power Platform
• Design data models, workflows, and integrations with external systems using APIs and custom connectors
• Build and manage Power Automate flows to automate data movement, transformation, and notifications across systems
• Connect and orchestrate data pipelines between on-premises SQL databases and cloud services using Azure Data Factory (ADF) and Power Automate connectors
• Validate and monitor automated processes to ensure accuracy and reliability
• Deliver test migrations and integrations, manage issue logs and lead issue review meetings with internal and external stakeholders
• Support go-live activities by ensuring data readiness, flow reliability, and access control.

Attorney

• Working with our product/engineering/design teams to help set the vision for new legal tech products and features within Kira and the rest of Litera.
• Experimenting and testing Generative AI to ensure our products are built the best they can be.
• Develop new “smart fields” (machine learning algorithms that can find information) and data points for documents relating to securities and/or financing transactions.
• Maintain a thorough understanding of developments in your legal domain, and continuously identify new opportunities to build smart fields.
• Identify opportunities to improve processes, gain efficiencies, and share best practices.

Associate, Legal Knowledge Engineering

• Define and own the product vision, strategy, and roadmap for Governance, Risk, and Compliance capabilities supporting legal workflows, information governance, and regulatory defensibility.
• Lead and develop a team of Product Managers, establishing clear priorities, execution rigor, and professional growth plans.
• Translate legal, regulatory, ethical, and risk-management requirements into clear, prioritized product capabilities and user stories.
• Partner closely with Engineering and Security to deliver secure, scalable SaaS solutions that protect confidential and privileged data.
• Collaborate with Legal, Compliance, Customer Success, Marketing, and Sales teams to ensure strong product-market fit and customer adoption.
• Establish and monitor KPIs related to compliance outcomes, customer value, adoption, and operational efficiency.
• Continuously evaluate market trends, client feedback, and emerging technologies—including automation and AI—to modernize legal GRC solutions while maintaining trust and defensibility.

Director, Product Management – Governance, Risk, and Compliance

Product Specialist

• Lead comprehensive onboarding and adoption programs for law firms implementing Litera's AI-powered products
• Design and execute custom integration strategies that align with clients' existing legal workflows and processes
• Conduct in-person and virtual training sessions to demonstrate product value and maximize user engagement
• Build and maintain strong relationships with key stakeholders, serving as their trusted advisor on legal technology strategy
• Experiment with and test generative AI and machine learning technologies to enhance product capabilities
• Act as the voice of the customer, translating client needs into actionable insights for product development

Legal Product Consultant

Manager

• Directly lead, mentor, and support project managers and PMO staff
• Serve as the initial point of contact for project-related issues
• Assist the PMO Director by reinforcing established project management processes

Solutions Consultant, Legal Experience Preferred

Solutions Consultant

Data Service Analyst

Technical Implementation Engineer

Technical Support Engineer

LLM Ops Engineer

Growth Marketing Manager

Senior Manager, Marketing Operations

Data Service Analyst

Associate, Legal Knowledge Engineering

Director, Product Management – Governance, Risk, and Compliance

Legal Product Consultant

Manager, PMO