Alibaba Cloud Software / SaaS China Translated from Chinese

Beida Yinghua (北大英华)

Enterprise Knowledge Search

Beida Yinghua needed to keep a very large legal-information service fast, trustworthy, and secure as its user base and content corpus kept growing. The company wanted stronger search speed, richer multidimensional knowledge features, and stable infrastructure for legal knowledge services, while preserving the domain-quality requirements that make automated legal search and analysis difficult.

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1 million+ registered individual users

120 million annual site visits

13 million annual active users

30,000+ institutional users

Reported impact

Business outcome

Alibaba Cloud helped Beida Yinghua keep legal search and knowledge services usable at national scale. The company now supports more than 1 million registered individual users and over 30,000 institutional customers, with annual site visits above 120 million and annual active users above 13 million, while expanding more advanced knowledge and legal-intelligence services on top of the same cloud data foundation.

Solution

Beida Yinghua uses Alibaba Cloud as the infrastructure and search base for its legal-knowledge services. Early cloud adoption covered domain services, monitoring, enterprise email, and cloud hosts, but the more important evolution was on the data side: legal documents, journals, and case data are automatically collected and cleaned, then stored through HBase and a data warehouse so the corpus can keep expanding without degrading search quality. On top of that data foundation, the company introduced Alibaba Cloud Elasticsearch as the engine that supports the search scenarios of Peking University Fabao and related legal-service products. The surrounding legal-tech applications combine large legal knowledge bases, case data, knowledge graphs, and risk-analysis methods into smart law, legislation, and enforcement platforms, giving legal professionals faster access to authoritative materials while retaining human review for the highest-value legal content.

Data flow

Legal documents, journals, case records, and related knowledge artifacts are automatically collected and intelligently cleaned, then written into HBase and the data warehouse. Elasticsearch indexes that corpus for fast legal retrieval, and the results are exposed through Fabao and related smart legal, legislative, and enforcement services that blend search with knowledge-graph and risk-analysis capabilities.

Solution architecture

4 components · 3 layers

Compute
- Cloud hosts Run the production services behind Beida Yinghua's legal-information products.
Storage
- HBase Stores large-scale structured legal data and supports high-volume retrieval and expansion of the legal corpus.
- Data warehouse Organizes and processes legal information so knowledge features can be mined across documents and cases.
Serving
- Elasticsearch Provides the search engine that supports Fabao's core legal search scenarios.

Architecture clues

Automated collection and intelligent cleaning are paired with manual legal editorial review for sensitive content quality.
Elasticsearch is used as the production search engine for the company's flagship legal database rather than a sidecar analytics tool.
The legal corpus is not only indexed for search; it is also stored in HBase and organized in a data warehouse for deeper knowledge extraction.
The same data foundation feeds legal search, legal-management, legislation, and enforcement products.

Evidence from the source

Beida Yinghua grew to more than 1 million registered users, over 30,000 institutions, 120 million annual visits, and 13 million annual active users. (original: 北大英华主产品北大法宝V6注册个人用户达100万人以上，机构用户达3万多家... 全站年访问数达1.2亿次、年活跃用户数达1300万人次。)

Beida Yinghua said the future required richer legal knowledge services with higher expectations for data security, server stability, and performance. (original: 未来，北大英华将面向全国法律用户提供更丰富的法律知识服务，公司在数据安全、服务器稳定性及性能上有更高的需求。)

Its smart legal platforms combine large legal knowledge bases and industry case data with technologies such as big data, AI, knowledge graphs, and risk lenses. (original: 依托大数据、人工智能、知识图谱、风险透镜等新技术手段，智慧法务平台实现法律知识库、行业案例数据等大数据与法务管理过程有机融合。)

The company started large-scale use of Alibaba Cloud Elasticsearch to support the search engine behind its core products, and also used Alibaba Cloud products as base resources in ministry and legislative projects. (original: 近期公司又大规模采购了阿里云的检索产品Elasticsearch，作为公司主营产品的搜索场景下的引擎支撑... 在一些第三方项目上也是采购了阿里云的产品作为基础资源支撑。)

Transparency Evidence & methodology 86/100 reference value · 95% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value86/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth25/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity16/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact15/25
1 metric describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence95%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability25/25
12 of 12 key fields link to a named source.
Direct evidence20/20
4 direct source quotes retained.
Date provenance10/10
The publication date comes from the source page or publisher.
Source transparency10/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity10/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Alibaba Cloud
专访北大英华赵晓海-阿里云-copy

First-party
https://enterprise.aliyun.com/customer/beidayinghua

Source type
Vendor-published customer story
Supports
- Customer
- Region
- Company size
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes

Date evidence

Published on source page Jun 9, 2022 · Alibaba Cloud · First-party
Open date source

Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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