Contract Lifecycle Manager

Our client, a management consulting group with one hundred and twenty employees and annual revenues approaching fifty million dollars, had outgrown their informal approach to contract management. Active agreements lived in a patchwork of shared drives, email threads, and individual filing systems. No single person could answer basic questions such as how many contracts were due for renewal in the next quarter, which engagements carried uncapped liability clauses, or whether a proposed deal conflicted with existing exclusivity terms.

The absence of centralized visibility created real business risk. The firm had missed two contract renewals in the previous year, costing them favorable pricing terms that had taken months to negotiate. A routine internal audit revealed that several active contracts contained liability provisions the partners had never intended to accept, provisions that had slipped through during rushed review cycles. The average negotiation cycle for a new client engagement stretched to twenty-two business days, a timeline the firm's leadership recognized was costing them competitive opportunities.

The firm approached STC with a mandate to bring order to the chaos: centralize every contract, automate the review process, and build a system that would proactively surface risks and obligations before they became problems.

The clause extraction engine uses a combination of fine-tuned language models and rule-based parsers to identify contractual provisions with high accuracy. We deliberately designed the system with a human-in-the-loop review step for the initial extraction of each new contract type, allowing the models to learn the firm's specific contractual patterns and terminology over time. After the first quarter of operation, extraction accuracy exceeded ninety-six percent, and the human review step is now reserved primarily for novel contract structures.

The risk scoring algorithm weights clause deviations against a baseline template that the firm's general counsel defined during the implementation phase. The scoring framework is fully configurable, meaning the firm can adjust risk weights, add new clause categories, and modify threshold levels without any developer involvement. This was a deliberate architectural choice to ensure the system evolves with the firm's risk appetite and regulatory environment.

The workflow automation layer connects to the firm's email system, calendar application, and project management platform through secure API integrations. We built the approval chains using a low-code workflow engine that the firm's operations manager can modify directly, adding steps, changing routing rules, or adjusting notification schedules as the organization's processes evolve.