Why must enterprises shift from document-first to data-first CLM by 2026?

Document-centric CLM treats data as an afterthought, slowing extraction, analytics, and automation. Research cited in the post shows data-first architectures make each clause and field immediately query-able, enabling faster workflows and advanced insights across legal, procurement, finance, and sales.

How does a modular CLM approach reduce implementation risk and time-to-value?

Traditional all-or-nothing rollouts often stall, with studies reporting failure rates as high as 77% due to complex, lengthy deployments and low adoption. Modular platforms let teams start with targeted capabilities like extraction agents, redlining intelligence, and obligation tracking, then expand as value is proven.

What is agentic AI in CLM, and how is it different from generic generative AI?

Agentic AI uses specialized, task-focused agents that operate within defined guardrails to extract clauses, track obligations, and make context-aware decisions. This approach curbs the high hallucination rates seen with consumer AI on legal queries and supports proactive, end-to-end workflow orchestration.

How does Sirion integrate with SAP and other enterprise systems to orchestrate workflows?

Sirion offers deep ERP and procurement integrations, including availability on SAP Store and patterns that route purchase requisitions from signed contracts for up to 90% faster time-to-contract. Sirion\'s integration resources also outline connectors for SAP Ariba and Coupa and a playbook to keep contract data aligned across CRM, ERP, and procurement systems.

What is a practical roadmap to modernize CLM before 2026?

Use a maturity model to assess gaps, quantify value leakage, and prioritize high-impact use cases like SLA monitoring and automated call-offs. Sirion resources cite up to 9% value leakage in obligations and compliance, so phase deployments to eliminate swivel-chair work and build on a data-first, agentic AI foundation with enterprise integrations.

Sirion | AI-powered CLM Insights & Resources

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