SaaS from 0 to 1 · LegalTech

Fazan (法禅) · Intelligent Legal Practice Platform

Embedding 89M+ cases and 2M+ statutes into lawyers' daily workflows via knowledge graphs — an early intelligent legal-service supply-chain platform in China.
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Aggregated judicial cases
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Statutes & regulations
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Contract template library
CodeX
Listed in Stanford legal-tech directory
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Positioning: Solving lawyers' core "delivery-end" problems

Launched in 2017 by Chengdu Swartz Technology (Swartz), Fazan was China's first intelligent product positioned as a lawyer workbench — it stays out of "case sourcing" and focuses on the practice itself: practice management, client management, knowledge management, and business management.

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Core capability: Legal big data + knowledge engineering

Using knowledge-graph technology to aggregate 89M+ cases and 2M+ statutes, it supports fuzzy and advanced search, intelligent profiling, and multi-dimensional visual research. Pioneering the "legal knowledge engineering" development model, it co-built domain knowledge templates with professional law firms, embedded and ready to use in cases.

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Full-process coverage: From search to administration

From automated timers, intelligent calculators, and electronic evidence files, to client management and smart business cards, through to firm-level project approval, conflict-of-interest search, contract approval, and receivables statistics — the entire law-firm operations chain goes online.

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Knowledge graphs and search over hundred-million-scale data

Aggregating, cleaning, and structuring near-hundred-million-scale case data is the first engineering hurdle; the graph search and multi-dimensional visualization built on top demand deep coordination between the search engine and data modeling.

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Fusing knowledge data with business workflows

The hard part isn't "storing data" but embedding case and statute data into the practice workflow: search results must link directly to cases, files, and time tracking, requiring unified modeling of the data and business layers.

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Conflict-of-interest search under SaaS multi-tenancy

Firm-level conflict-of-interest search requires real-time comparison of historical data across clients and cases — both a feature and a compliance necessity for firms taking on cases, imposing hard requirements on data consistency and response speed.

Industry recognition

Fazan was included in Stanford University's CodeX legal-tech company directory (Stanford Ctr. for Legal Informatics), among the few Chinese legal-tech companies listed; in partnership with Legal Publishing House (法律出版社) and FaTianshi (法天使), it built a contract template library with 10K+ continuously updated templates; its services covered a large number of law firms and practicing lawyers nationwide, with partner firms organizing practical training to advance digitalized practice.

This project showed me the right way to open "big data + vertical industry": embed into the workflow first, then talk about intelligence. This is also the methodological prototype for how I deliver AI engineering today.