Secure AI for Transactional Due Diligence

Challenges

• Manual term extraction from 500+ contracts per transaction.
• Limited visibility into historical patterns or recurring risk terms.
• Inconsistent diligence summaries across different deal teams.
• Reluctance to use public AI tools due to client-confidentiality concerns.

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Solution

Milbank leveraged AtlasAI’s Tabular Review and Private AI Search to automate diligence reviews while maintaining full data control.

• The Tabular Review feature transformed unstructured contracts into structured, searchable tables, automatically tagging key provisions like governing law, indemnities, assignment clauses, and termination rights.
• The Knowledge Graph cross-linked prior deal outcomes and surfaced frequently negotiated risk positions.
• Using AtlasAI’s Word Plugin, attorneys could generate side-by-side comparisons and instant redline suggestions.

AtlasAI operated within Milbank’s Azure-hosted environment, directly connected to their DMS (iManage) and identity controls, ensuring zero external exposure.

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Results

• 50% reduction in time spent on due-diligence reviews.
• Increased accuracy in identifying anomalies and risky language.
• Secure, auditable data lineage for all diligence outputs.
• A shared institutional dataset of deal patterns to guide negotiations.

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