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BNY Mellon

BNY Mellon cuts contract turnaround time 50% with AI CLM across 78,000+ contracts

Curated & reviewed by Peter Korpak, Founder & Chief Analyst, 100SignalsHow we verify
50% reductionContract Turnaround Time
78,000+Contracts in Centralized Repository
100+Metadata Fields Auto-Extracted

Vendor-reported figures — source: www.sirion.ai

BNY Mellon
Metric Before After Impact
Contract Turnaround Time 50% reduction faster approvals via automated workflows
Contracts in Centralized Repository 78,000+ unified repository replacing scattered team silos
Metadata Fields Auto-Extracted 100+ automated extraction eliminates manual data entry

The Challenge

BNY Mellon’s contracting operations were fragmented across multiple IT systems, forcing Legal to hunt for contract information and rely on SharePoint authoring plus email review. Other teams lacked visibility into contracts and depended heavily on Legal for drafting and approval, creating bottlenecks. The bank also lacked proper audit trails, obligation monitoring, authoring/approval workflows, supplier validation checks, and standardized clause libraries—raising GSCM policy compliance risk.

The Solution

Sirion became BNY Mellon’s CLM partner, migrating over 78,000 contracts into a centralized repository and digitizing drafting, review, negotiation, and approval. Contract AI auto-extracted preferred templates, clauses, and 100+ metadata fields; automated workflows with validation checks enforced GSCM compliance; and integrations pulled data from risk and procurement systems. An organization-wide dashboard tracked service levels and obligations, with migration supported by AWS Auto Scaling and Amazon EC2.

Results

Contract turnaround time fell by 50% as cross-team dependencies were reduced and approvals moved off email into automated Legal review workflows. Obligation management strengthened third-party and supplier governance, while shared templates and clause libraries let other departments draft contracts without always involving Legal. System integrations also auto-triggered downstream actions, such as releasing a purchase order once a contract was signed.

Key Takeaways

    • Centralizing a large legacy contract corpus with AI metadata extraction unlocks visibility that email/SharePoint processes cannot provide
    • Automated workflows with embedded compliance checks reduce Legal bottlenecks while improving GSCM adherence
    • Giving non-Legal teams access to templates and clause libraries frees Legal capacity and speeds time-to-contract

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Details

Company Size
Enterprise
Company
BNY Mellon
Quality
Curated
Last verified
Jul 28, 2026

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