Contract lifecycle management in enterprise sales systems has moved beyond a back-office documentation
function to a digitally enabled control layer to affect the pace of revenue, the quality of compliance, the negotiation
quality, and performance on renewals. Automation in this field has now gone beyond the development of templates
and electronic signature to the clause intelligence, routing of approvals, tracking of obligations, the synchronization of
data between CRM and ERP systems, and the control of machine-assisted decision-making. This review takes into
account the recent peer-reviewed journal literature that is relevant to that change and what conclusions can be
credibly supported by current evidence in a credible manner. The literature review indicates that not much research
has been conducted on fully automated contract lifecycle applications to enterprise sales architectures. Improved
evidence is in surrounding clusters, particularly those that process automation, text classification of document
intelligence, artificial intelligence in marketing and customer relations, AI preparedness in organisations and models of
execution based on blockchains. The common trend in those clusters is as follows: automation provides maximum
value in the event that routine contractual processes are standardized, escalation criteria are clear and obvious, and
that human review remains active in the commercially sensitive decision-making areas. Major gaps are connected with
interoperability across systems, evaluation of performance evaluation beyond time reduction, contract data
management, and longitudinal evidence of delivery of value after signature. The discipline is also strategically
significant since revenue operations are becoming more reliant on the operational capability of contract intelligence as
opposed to a legal repository.
Publication Date: 2026-06-15