AI Solutions for Legal and Compliance

The legal industry faces the dual challenge of rapidly evolving regulations and the processing of massive volumes of documents. LargitData combines InfoMiner sentiment monitoring with the RAGi enterprise AI knowledge base to help law firms, corporate legal departments, and compliance teams track regulatory developments in real time, accelerate case research, and build intelligent legal knowledge management systems.

Industry Challenges

Legal and compliance professionals must handle large volumes of regulatory documents and case materials every day, facing the following core pain points:

• Difficulty Tracking Regulatory Updates：Laws, administrative orders, and judicial interpretations are continuously updated, requiring lawyers and legal staff to spend significant time tracking the latest regulatory changes to ensure the compliance of their advice.
• Case Research Is Time-Consuming and Labor-Intensive：Searching for relevant precedents and analyzing ruling trends requires reviewing large numbers of court decisions and academic publications, and traditional keyword search struggles to pinpoint the most relevant cases with precision.
• Low Efficiency in Contract Review：Reviewing lengthy contracts, comparing clause differences, and identifying potential risks still rely heavily on manual line-by-line reading — a process that is slow and prone to oversights.
• High Complexity in Cross-Border Regulatory Compliance：Multinational corporate operations must simultaneously comply with regulatory requirements across multiple jurisdictions, making it difficult for legal teams to maintain a comprehensive understanding of regulatory differences across countries.
• Lack of Systematic Legal Knowledge Management：Years of accumulated legal opinions, contract templates, and case records are scattered across individual computers and document servers, making it difficult for new lawyers to effectively leverage the work of their predecessors.

Industry Solutions

LargitData offers a combined solution of two core AI tools for the legal and compliance sector:

InfoMiner — Regulatory Developments and Compliance Media Monitoring

• Monitor regulatory information sources in real time — including the Government Gazette, Legislative Yuan proceedings, FSC announcements, and administrative orders from all ministries.
• Track compliance-related news and commentary for specific industries to proactively identify regulatory change trends that may affect clients.
• Configure client- or industry-specific keyword alerts to receive instant notifications when litigation news or regulatory changes relevant to your clients emerge.
• Analyze enterprise compliance risk signals in social media and news, helping corporate legal departments take early preventive action.

Learn MoreInfoMiner Social Listening

RAGi — Legal Knowledge Base and Intelligent Document Analysis

• Consolidate regulatory compilations, case law databases, legal opinions, and contract templates into an AI-powered legal knowledge base.
• Lawyers can quickly retrieve relevant precedents and statutory provisions through natural-language queries — for example, "Trends in damage-award rulings for personal data breach cases over the past three years."
• AI automatically summarizes lengthy contracts and court judgments, enabling rapid identification of key points and critical clauses.
• Supports on-premise deployment to ensure the security of confidential client data and case information.

Learn MoreRAGi Enterprise AI Retrieval-Augmented Generation Engine

Diverse application scenarios

Scenario 1: Real-Time Regulatory Change Tracking and Impact Assessment

A large law firm used InfoMiner to set up regulatory monitoring projects for its clients' industries. When the FSC issued new financial supervisory regulations, the system instantly notified the financial law practice team. The lawyers then queried the RAGi knowledge base for "the main differences between the new regulations and the existing rules" and "implementation experience with similar regulations in other countries," enabling them to provide compliance advice to clients in the shortest possible time.

Scenario 2: Case Law Research and Litigation Strategy Analysis

During case preparation, a litigation attorney imported relevant court decisions into the RAGi knowledge base. By asking in natural language "How do courts determine the amount of damages in trade secret infringement cases?" the AI automatically extracted compensation amounts, recognition standards, and reasoning from hundreds of court decisions, helping the attorney quickly understand ruling trends and formulate litigation strategy.

Scenario 3: Contract Review and Risk Identification

A corporate legal team loaded the company's contract templates and review checklists into the RAGi knowledge base. When reviewing new contracts, legal staff can submit the contract content to AI for analysis; the system automatically compares the contract clauses against the company's standard templates, flags deviations, and highlights potential risks, significantly improving the efficiency and thoroughness of contract review.

Scenario 4: Enterprise Compliance Risk Early Warning

The General Counsel of a listed company used InfoMiner to simultaneously monitor news and social media discussions related to the company's name, board and executive directors' names, and core business activities. When media reports potentially involving legal risk were detected — such as consumer class action complaints or environmental disputes — the system sent instant alerts, enabling the legal team to initiate risk assessment and response measures before the situation escalated.

Scenario 5: Law Firm Knowledge Management and Knowledge Transfer

A law firm loaded years of accumulated legal opinions, pleading templates, settlement agreements, and internal research reports into the RAGi knowledge base. When junior lawyers are drafting legal documents, they can query the firm's past experience and strategies for handling similar cases, effectively building on their predecessors' work, avoiding duplicated research, and improving the quality of legal documents.

Expected Outcomes

• Regulatory Tracking Efficiency Improved by 80%：Transitioning from manually checking the gazette on a periodic basis to AI real-time monitoring with automated alerts ensures that no important regulatory changes are missed.
• Case Research Time Reduced by 60%：AI semantic search and automatic summarization replace traditional keyword search and manual reading, dramatically accelerating case law research.
• Contract Review Efficiency Improved by 50%：AI automatic comparison and risk flagging allow legal professionals to focus on in-depth analysis of high-risk clauses.
• New Associate Productivity Improved by 40%：The intelligent knowledge base enables new associates to quickly retrieve the firm's historical cases and legal opinions, shortening the learning curve.
• How is data security ensured?：RAGi supports on-premise deployment, keeping confidential client data and case information within the law firm or enterprise, in compliance with attorney-client privilege obligations.