Legal Data & Contract Intelligence Analyst (Legal - Data & AI)- • Programmatically converts complex, messy documents with edits into structured, analyzable data

JOB DESCRIPTION:

4-7 years in data/document analytics with exposure to legal or contract text formats (e.g., redlines, tracked changes, clause blocks). Deep understanding of legal meaning is not required; comfort working with structured legal language as a text dataset is essential. This role extracts and synthesizes clause-level redline patterns from Marmon templates and historical negotiations. Deliverables center on structured intelligence-variant clusters, exception frequency, edit rationales, and drift over time-to inform contract SMEs and future playbook authors. The role does not draft fallback language or determine legal positions; it provides the evidence and pattern clarity required for those decisions.

ESSENTIAL FUNCTIONS:

• Redline Pattern Extraction & Variant Discovery
• Analyze historical tracked changes and markups at scale to identify recurring edit patterns, counterparty tendencies, and structured clause-variation clusters in legal text.
• Group similar edits into normalized variant sets without determining fallback positions or legal acceptability. Clause Change Clustering & Exception Mapping
• Classify edits by frequency, type (add / delete / narrow / broaden), and location in the document.
• Surface anomalies and outliers for legal SME review, not interpretation. LLM-Assisted Summarization & Tagging
• Use AI tools to accelerate classification of edit intent and theme categorization while maintaining analyst oversight and QC.

EDUCATION AND EXPERIENCE: • Bachelor's degree (B.Tech / B.E / B.Sc BA or LL.B). • Post-grad in Analytics, Data, Legal Ops optional, not required. • 4-7 years in data/document analytics; exposure to legal text formats helpful. • No drafting, negotiation, or fallback expertise required. • Experience with LLM-assisted classification or Python-based text parsing preferred (operate, not architect). • Experience working with global teams across time zones preferred.