Pain Points
01
Internal and external laws, regulations, and supervisory policies are massive in volume. Manual retrieval and basis matching are costly and slow, extending legal review cycles.
Pain Points
02
Traditional review modes consume large amounts of time and labor, increasing the burden on legal reviewers and indirectly slowing business progress.
Pain Points
03
Internal rules are numerous, broad, and overlapping, making it difficult for frontline staff to quickly and accurately find what they need.
Pain Points
04
Traditional ways of accessing policies make compliance workflows less smooth and reduce overall compliance management efficiency.
Based on core data such as regulations and internal policies, it builds structured Q&A pairs, auto-generates document summaries, creates tags, and organizes layered knowledge maps.

It integrates multiple models and frameworks to complete large-scale regulatory knowledge governance in one stop and provide a solid data foundation for upper-layer applications.

It supports drafting review, operations consulting, review comparison, and other business scenarios with precise matching, low hallucination, high accuracy, and fast response.

It accurately parses logical relationships and boundary conditions in policy clauses, avoids taking text out of context, and supports cross-dimensional retrieval across compliance knowledge, policies, and contract terms.
Centered on large models and agents, it connects the full process from compliance knowledge construction and dynamic policy comparison to intelligent compliance consultation and full-lifecycle contract review.
It supports no-code and low-code operation, letting business users quickly build dedicated compliance knowledge bases and connect with OA, credit management, and compliance systems for deeper workflow integration.
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Business Cooperation Email
Address
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code:Beijing-MengZiGPT-20231205
Business Cooperation:
bd@langboat.com
Address:
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
Official Accounts:

© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code:Beijing-MengZiGPT-20231205