Contract Playbook & Clause Automation Analyst (Legal Ops – Data & AI)-LLB with 4 to 7 years

About This Role

Contract Playbook & Clause Automation Analyst (Legal Ops – Data & AI)

Position Overview

This role converts Marmon’s templates, terms & conditions, and historical contract redlines into machine‑actionable contract playbooks and clause libraries that power AI‑assisted redlining and faster negotiations. You’ll analyse existing playbooks and mine thousands of past negotiations to derive preferred / fallback positions, encode them as structured rules, test them against new agreements, and continuously improve accuracy with attorney feedback—so reviewers get precise, explainable changes in seconds rather than hours. (Modern legal‑AI / CLM platforms support automated playbook redlining with reviewer control.)

Mandatory Skills

• Redline mining & rule discovery
• Analyse prior markups / versions and existing templates to identify recurring edits, counterparty patterns, and risk drivers; normalize into clause taxonomies and playbook rules (preferred, acceptable fallback, “never”, approver needed). (Research supports LLM‑based comparison to templates and extraction of systematic variations.)
• Playbook authoring & governance
• Draft clear, testable rules with model language, rationale, and escalation paths; maintain versioned clause libraries mapped to contract types / jurisdictions. (Leading tools operationalize custom standards + fallback positions.)
• Collaborate with Marmon contract attorneys and designated GCs to validate playbook rules, fallback ordering, and escalation paths before deployment.
• Automation configuration (in tools you select / operate)
• Configure AI playbooks and auto‑redline behaviours in our chosen stack (e.g., Spellbook in Word; or CLM platforms like Ironclad / Agiloft / Sirion), including tolerances, severity, and approver routing.
• Quality assurance & measurement
• Build and maintain a validation framework and gold‑standard set; track precision / recall, acceptance rate of suggestions, and exception leakage;
• Data operations
• Clean / structure legacy contracts & redlines; tag clauses / definitions; extract metadata via approved services (e.g., Azure Document Intelligence, Python, etc.) to accelerate library build‑out.
• Human‑in‑the‑loop workflow
• Design reviewer experiences that keep attorneys in control; implement guardrails and references to source language; document known limitations and edge‑cases to mitigate AI hallucinations.
• Stakeholder enablement
• Coordinate a ‘legal sounding board’ process with Marmon contract team lawyers and senior counsel for iterative review and sign-off of playbook content, ensuring all playbook rules are validated by legal experts before deployment.

Desired Skills

Opportunities for Growth

Required Qualifications

Candidates without formal legal training may still qualify if they have deep experience in contract analytics and CLM systems, but legal familiarity will significantly improve fallback ordering and clause interpretation.