1. Civil and Commercial Law, such as:
Legal advice on land disputes, contracts, and damage claims
Consultation on property sales, loans, and pledges
Review and drafting of civil contracts, such as sales, leases, and guarantees
Legal advice on civil litigation, enforcement, and debt negotiation
2. Criminal Law, such as:
Consultation when facing criminal accusations or charges
Assessment of risks related to fraud, forgery, impersonation, and offenses under the Computer Crime Act
Strategic planning for providing information to investigators or courts
Risk analysis of business operations potentially violating criminal law
3. Business Law, such as:
Structuring companies, joint ventures, and shareholding plans
Drafting and reviewing business contracts: sales, services, equity shares
Analyzing legal risks for businesses such as Startups, SMEs, and Franchises
Providing monthly legal advisory services for executives or business owners
Offering guidance on mergers and acquisitions (M&A) and investment matters
4. Laws Related to Juristic Housing Entities / Housing Estates, such as:
Legal consultation for juristic condominium entities and housing estate committees
Reviewing compliance with legal obligations and annual general meetings (AGM)
Resolving disputes between juristic entities and co-owners/residents
Assessing the legality of common area fee collection and penalties
Advising on legal action against residents who fail to pay common area fees
1. Legal Data Analysis and Compliance Services, such as:
Summarizing newly issued laws relevant to business operations
Auditing company policies for legal compliance
Analyzing litigation histories of counterparties
2. Business Data Analysis, such as:
Analyzing data to support strategic decision-making
Analyzing sales, customer behavior, or operational efficiency
Creating dashboards to track KPIs or market trends
Identifying pain points in operational workflows through real data
3. Market Research and Data Analysis, such as:
Researching consumer behavior trends
Analyzing external data sources, such as websites and social media
4. Advanced Data Analysis Services Using Data Science Techniques, such as:
Predictive Modeling (e.g., trend forecasting)
Clustering (e.g., customer/user segmentation)
Network Analysis (e.g., analyzing business networks or relationships)
Natural Language Processing (e.g., text analysis or legal document processing)
Machine Learning, including Supervised Learning, Unsupervised Learning, and Reinforcement Learning
1. Investigating behaviors and activities in litigation cases
2. Examining suspicious transactions or unusual financial trails
3. Analyzing relationship networks (personal or business)
4. Fact-finding in complex or sensitive cases
5. Analyzing digital data or digital footprints