Overview
A leading organization in the Alternative Legal Service Provider (ALSP) market is seeking a Legal AI Quality & Implementation Associate. This role supports the implementation of AI-enabled legal solutions and provides an independent legal quality assurance layer across contract management engagements. The position involves reviewing and validating AI-generated contract analysis outputs, negotiation materials, playbooks, and implementation assets.
Responsibilities
- Independently review AI-generated contract reviews, issue lists, clause extractions, risk assessments, summaries, obligation reports, deviation reports, negotiation drafts, proposed redlines, and fallback positions.
- Validate legal accuracy, completeness, consistency, and practical usability against the underlying contract, applicable client playbooks, and approved contractual positions.
- Identify missed issues, incorrect interpretations, unsupported assumptions, inconsistent outputs, and potentially misleading conclusions.
- Distinguish legally material issues from lower-risk drafting or presentation improvements and escalate significant matters to senior stakeholders.
- Review prompts and prompt-based workflows created by Legal AI and contract management team members.
- Assess whether prompts accurately reflect the intended legal analysis, contractual position, required output, and escalation logic.
- Determine whether identified issues originate from the prompt, playbook, source data, workflow configuration, or AI tool limitations.
- Provide structured feedback explaining errors or omissions, their significance, expected output content, and how prompts or workflows should be amended and tested.
- Rewrite or refine prompts to improve legal accuracy, completeness, consistency, and usability, including legal context, definitions, exclusions, fallback logic, and structured output requirements.
- Design representative legal test cases covering various contract types, clauses, drafting styles, negotiation positions, and risk scenarios.
- Compare AI-generated outputs against manual legal analysis, approved playbooks, reference answers, and acceptance criteria.
- Perform regression testing following changes to prompts, playbooks, workflows, or system configurations.
- Record findings, recommended remediation, and retesting results clearly and traceably.
- Confirm resolution of identified issues before approving prompts or workflows for wider use.
- Support implementation and optimization of approved AI solutions across contract management engagements.
- Assist in designing and mobilizing AI-enabled processes for new client engagements.
- Translate legal and business requirements into prompts, workflows, test criteria, user guidance, and implementation documentation.
- Support pilots, user acceptance testing, deployment, and post-implementation reviews.
- Provide legal and prompt-engineering input when adapting solutions to new contract types, industries, jurisdictions, or client playbooks.
- Review and improve contract review and negotiation playbooks, including positions, fallback options, risk classifications, and escalation criteria.
- Provide constructive, detailed, and actionable feedback to colleagues responsible for prompt creation and AI implementation.
- Collaborate with original authors to improve prompts and outputs beyond error identification.
- Maintain review records, approved prompts, test cases, known limitations, implementation guidance, and lessons learned.
- Apply confidentiality, data protection, information security, client permissions, human review, and responsible AI use requirements.
Requirements
- Legal education or equivalent practical experience in commercial contracts, contract management, or legal services delivery.
- Strong understanding of commercial contract structures, common clauses, risk allocation, and negotiation principles.
- Practical experience reviewing, interpreting, or negotiating commercial contracts.
- Ability to identify legal risks, inconsistencies, omissions, and deviations from approved positions.
- Ability to provide clear, structured, and actionable legal feedback.
- Strong analytical skills, exceptional attention to detail, and excellent written and verbal communication skills in English.
- Confidence in constructively challenging outputs that do not meet required legal or quality standards.
Preferred Qualifications
- Hands-on experience using generative AI or large language model tools for legal, contract management, or knowledge-management use cases.
- Experience creating, reviewing, or optimizing prompts, structured outputs, and prompt-based workflows.
- Experience with legal quality assurance, peer review, audit, AI evaluation, or user acceptance testing.
- Familiarity with contract lifecycle management platforms, document review tools, or workflow automation.
- Understanding of responsible AI, data protection, confidentiality, and information-security requirements within legal services.
Location
Positions are available across Europe and North America.
Compensation & Benefits
Details regarding compensation and benefits will be provided during the recruitment process.