Langhui Tech specializes in finance & legal AI data services, building a dual-sector data infrastructure with synergy between finance and law, covering five major domains—judgment documents, laws and regulations, contract review, financial risk control, and compliance review—with 28 high-quality datasets, 5M+ judgment documents and 2M+ legal Q&A items, providing compliant, professional, and high-quality corpora for finance & legal LLM training.
From FinGPT to LawGPT, from AI Wind Control to Reg Tech Compliance Technology, AI is reshaping the financial legal industry infrastructure and service paradigm
Columbia University released FinGPT, an open-source financial LLM that achieves BloombergGPT-level performance, setting new SOTA on multiple financial NLP benchmark tasks. It supports sentiment analysis, risk prediction, investment decision-making, and other financial scenarios, advancing the open-source financial AI ecosystem.
Trained on millions of legal documents, LawGPT received a Best Paper nomination at ACL 2025 and ranked first on the LegalBench legal reasoning benchmark, surpassing GPT-4. It demonstrates outstanding legal reasoning and supports legal Q&A, document generation, case retrieval, and sentencing prediction.
JPMorgan deployed a next-generation AI risk control system with 99%+ fraud detection accuracy, real-time interception of suspicious transactions, processing 1B+ transactions per day, and recovering $500M+ in annual fraud losses, leading the AI risk control transformation in banking.
The EU AI Act, fully implemented in 2026, is driving the development of RegTech compliance technology. AI compliance review systems can automatically complete compliance checks for MiFID II, GDPR, and other regulations, reducing compliance costs for financial institutions by 40% and improving compliance efficiency by 6x.
BlackRock launched an AI investment decision system managing AUM of $10T+, achieving a 15% alpha improvement through a deep learning + legal compliance dual engine, while ensuring investment decisions comply with regulatory requirements.
Harvard research shows GPT-4 has reached attorney-level performance on legal reasoning tasks, with an 85%+ pass rate on the bar exam. Accuracy on multiple legal benchmarks approaches that of top law school graduates, sparking transformation in legal education and judicial services.
Working in tandem with the Financial and Legal Sector to build an AI compliance data infrastructure to empower large model financial law training and industry Land
Integrated compliance data, risk control data, and legal corpora with cross-domain knowledge fusion, building a unified semantic space across finance and legal.
Partnering with experts from banks, securities firms, insurers, and law firms for review, covering the full spectrum of finance & legal scenarios, ensuring professional and authoritative annotations.
Contracts, judgment documents, regulations, and financial reports, with entity recognition, relation extraction, and risk annotation, covering the full spectrum of finance & legal NLP annotation.
Data compliance, privacy protection, audit traceability, and regulatory reporting—an end-to-end compliance system covering the entire finance & legal data lifecycle.
Financial Legal Data Infrastructure Core Capacity Indicators
Covering five areas of adjudicative documents, statutes, contracts, controls, compliance
Expert+AI dual quality control, accuracy of identification of financial legal entities
Data security laws, individual security laws, full compliance with financial regulations
Bank/Steves/Insurance/Law firm experts review the whole scene Nuclear
28 high-quality data sets, two sets of synergies in financial law, covering the five main areas of adjudicative instruments, laws and regulations, contract review, financial controls, compliance data
Covering civil, criminal, financial, and commercial cases, with structured annotations including court level, judgment outcome, and legal basis, supporting finance & legal case analysis.
Summaries and key point extractions of judgment documents, with structured summary annotations including case facts, disputed issues, and ruling essentials.
Criminal case sentencing data, with annotations for charges, circumstances, sentencing ranges, and sentencing consistency, including a financial crime sentencing subset.
Full hierarchy from the Constitution, laws, and administrative regulations to local regulations and financial regulatory rules, with annotations for effectiveness level and revision history.
Knowledge graph of citation, amendment, and repeal relationships between legal provisions, including cross-references between financial regulations and civil/commercial law, supporting legal tracing and impact analysis.
Parallel legal texts in Chinese, English, Japanese, Korean, and other languages, including multilingual versions of financial regulations, supporting cross-lingual legal retrieval and translation.
Multiple contract types including sales, leasing, employment, financial loans, and equity transfers, with annotations for risk clauses, compliance, and abnormal terms.
Standard contract templates of various types, with annotations for clause structure, risk points, and mandatory clauses, supporting financial contract generation AI training.
Contract data with risk clause annotations, supporting automatic identification of breach of contract liability, unfair terms, and financial compliance risks.
Personal and enterprise credit risk control data, with annotations for credit approval, loan disbursement, overdue payments, and defaults, supporting credit risk LLM training.
Financial fraud samples, with annotations for transaction fraud, identity theft, credit card fraud, and more, supporting real-time anti-fraud AI training.
Personal and enterprise credit reporting samples, with annotations for credit scores, repayment records, and multi-head borrowing, fully de-identified and compliant.
Rule libraries from banking, securities, and central bank regulators, with structured rules, applicable scope, and compliance highlights, supporting RegTech compliance review.
AML suspicious transaction samples, with annotations for transaction patterns, risk scores, and suspicious behavior, supporting AML anti-money laundering AI training.
Credible Data Set + Customized Data Services + Network of Authentication Experts to Build the Financial Law AI Data Full Chain Service Closed
28 ready-to-use standardized finance & legal datasets delivered in standardized JSON format, covering five domains—judgment documents, laws and regulations, contract review, financial risk control, and compliance data—compliant and ready to deploy.
An industrial-grade finance & legal data annotation platform with on-demand annotation tasks, an expert review + AI-assisted dual engine, supporting custom annotation across contracts, judgment documents, risk control, compliance, and other scenarios.
A finance & legal expert review network, partnering with senior experts from banks, securities firms, insurers, and law firms to cover the full spectrum of finance & legal scenarios, providing authoritative professional review and certification for data annotation.
Six typical AI applications based on the Langhui Financial Legal Data Set
Credit approval and fraud detection AI systems, trained on risk control and credit reporting data, achieving 99%+ fraud detection accuracy with real-time interception of suspicious transactions.
Regulatory compliance and AML AI review systems, trained on regulatory rules and AML data, automatically completing compliance checks for MiFID II/GDPR and other regulations.
Intelligent contract analysis and risk identification AI, trained on contract review and risk annotation data, achieving 96% accuracy on risk clause identification and 48x review efficiency.
Intelligent legal Q&A and case retrieval AI, trained on legal QA and judgment document data, providing 24/7 intelligent legal consultation services.
Intelligent investment research and research report generation AI, trained on finance & legal dual-sector data, fusing financial data with legal compliance perspectives for 15% alpha improvement.
Real-time fraud detection and risk warning AI systems, trained on anti-fraud data, processing 1B+ transactions per day and recovering $500M+ in annual fraud losses.
Contact Langhui Data Specialist to obtain a complete catalogue of financial legal datasets, test privileges and customized solutions