AI-Assisted Contract Analyst

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.)

maintain versioned clause libraries mapped to contract types / jurisdictions. (Leading tools operationalize custom standards + fallback positions.)

or CLM platforms like Ironclad / Agiloft / Sirion), including tolerances, severity, and approver routing.

extract metadata via approved services (e.G., Azure Document Intelligence, Python, etc.) to accelerate library build‑out.

document known limitations and edge‑cases to mitigate AI hallucinations.

Desired Skills

comfort with dashboarding time‑savings and accuracy metrics.

this role builds the safety net.)

legal training or priorexperience in contract negotiation strongly preferred.

ability to facilitate US‑time virtual meetings (reasonable scheduling).

exposure to global teams preferred.

Opportunities for Growth

Required Qualifications

advanced degree (LL.M.)or certification in Legal Operations / Contract Management is a plus.

prior experience encoding contract standards / playbooks strongly preferred.

basic Python a plus fordata analysis and rule encoding.

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.