Contract lifecycle management (CLM) work is often held back before it even begins. When contracts are fragmented across repositories, lack reliable metadata, and require significant manual effort to classify and analyze, the consequences ripple outward: CLM migrations stall waiting on manual classification, contract reviews take longer than they should, and downstream reporting and compliance processes end up built on data nobody fully trusts. That slows renewals, extends due diligence timelines, and raises the risk of missed obligations or compliance gaps. Adding to the problem, without visibility into what's actually in those contracts, organizations struggle to build a business case for CLM investment in the first place.
PwC's new CLM document insights solution, part of the Operations Intelligence suite, coordinates multiple AI agents to move contracts in a coordinated flow from ingestion to structured data outputs that can be reviewed, validated, and integrated into downstream CLM platforms and analytics workflows.
The solution adapts to the contract types that matter to each client, including non-disclosure agreements (NDAs), master service agreements (MSAs), and statements of work (SOWs), and can extend to new contract types as a client's needs evolve, without starting from scratch each time.
Underneath, the agents use large language model (LLM)-based classification and extraction, combined with validation checkpoints and human-in-the-loop review, to help improve accuracy and trust in outputs. Orchestration logic is separated from domain-specific extraction through configurable prompt packs, so new contract types and use cases can be supported without rebuilding the underlying rules. The solution is designed for deployment within client-controlled environments, supporting client-managed LLM endpoints and security controls while maintaining enterprise governance, auditability, and extensibility.
By standardizing document handling and data extraction that's typically fragmented and labor-intensive, PwC's document insights solution reduces the manual effort required to intake, classify, and analyze contracts. For an average CLM engagement with 20 to 30 types of contracts, that shows up in real terms:
Unlike heavier CLM solutions that require extensive infrastructure and data retention, PwC's capability is lightweight and designed to extract value without storing client contract data. It operates within your environment, on your LLM endpoints, under your security controls, reducing both the operational overhead and compliance risk that typically comes with AI-powered contract tools.
As a client's contract types and volume evolve, from a handful of NDAs to a full portfolio spanning NDAs, MSAs, and SOWs, PwC's solution scales with them, without costly rework. That durability turns contract intelligence from a one-time migration project into an ongoing capability: faster deal and renewal cycles, more confident audits, and a shift from reactive contract management to proactive governance.
Curious what PwC's document insights solution could do for your next contract lifecycle management migration? Get in touch to learn more.
See how document insights can reduce manual contract intake and support faster CLM migrations.