Why is Contract Review Always Such a Headache?

An industrial contract can easily span dozens of pages, covering various types such as sales and operations, with each type requiring different focuses during review. Specialized technical clauses, intellectual property ownership, source code delivery requirements, tax compliance risks, excessively long acceptance periods... These critical risk points are hidden throughout the contract. Reviewers must ensure professionalism while avoiding omissions, creating immense work pressure.

Facing this persistent challenge, Luculent Smart has launched an intelligent contract review agent. Like a "super risk control brain" deeply integrated into enterprise processes, it is meticulously adapted to the characteristics of industrial enterprise scenarios. It builds an end-to-end risk control system—from intelligent risk perception and precise source tracing to efficient closed-loop governance—and provides full-process intelligent review capabilities.

High-Precision Contract "Reading": Accurate Layout Restoration, Stable Risk Localization

To address features of industrial contracts such as numerous technical parameters and complex attached tables, the intelligent agent employs advanced layout analysis and OCR recognition technologies. It accurately parses unstructured content like equipment parameter tables, technical specification sheets, and price lists, faithfully restoring the original formatting and content structure to ensure no critical information is missed. Through line-level precise positioning technology, the system can directly link identified risk points to specific locations in the original contract text, supporting one-click navigation for review, making verification work efficient instead of searching for a needle in a haystack.

High-Efficiency Risk "Judgment": Deep Semantic Understanding, Strict False Positive Control

In the risk assessment phase, the intelligent agent adopts a dual mechanism of "batch extraction + item-by-item re-evaluation." It first quickly identifies risks specific to industrial scenarios, such as raw material supply stability, technical parameter conflicts, source code delivery obligations, and missing software copyright names. It then performs fine-tuning based on context, significantly improving review efficiency. Through semantic similarity matching technology, it can automatically merge duplicate risk points, greatly reducing the burden of manual re-checking. For critical content like price lists commonly found in industrial procurement, it can extract table data and automatically verify calculation logic, effectively preventing risks related to amount errors.

Strong Closed-Loop Risk Control "Optimization": Actionable Suggestions, Knowledge That Can Be Accumulated

The intelligent agent deeply integrates large model capabilities with the enterprise's proprietary risk database, ensuring both broad coverage of general risk identification and the ability for customized training based on the enterprise's actual review rules. By continuously learning from historical contract data, it constantly optimizes the risk identification model. Newly identified risk points from each review can be directly added to the enterprise risk database, and the intelligently generated revision suggestions provide practical references for business personnel. By continuously absorbing real business data, it achieves closed-loop learning, becoming "more accurate with use and more knowledgeable with each review."

In specific project practice, this intelligent agent identifies key clauses within contracts and combines them with internal enterprise project initiation, progress, and fund collection status to perform dynamic risk identification. It proactively detects project risks, enabling penetrating oversight. It assists in improving contract review efficiency by over 75%, with a risk identification accuracy rate exceeding 92%, making professionalism more effortless and risk control smarter. Furthermore, Luculent Smart has deeply infused large model capabilities into all industrial scenarios, including equipment diagnostics, production management, and safety control, having built over 150 intelligent agent applications. Through solid technological practice, it is driving the digital-intelligent future of industrial enterprises.