According to recent research by McKinsey, AI is transforming the role of legal professionals into 'pilots' and 'content creators' who strategically deploy AI tools in their work.1 In this blog, we highlight five practical AI applications – from contract analysis to internal knowledge management – that are directly valuable for lawyers, corporate counsel, notaries, judges, and other legal professionals.
We deliberately focus on practical examples with tools that are available now. Not far-fetched future possibilities, but current capabilities supported by leading sources and industry experiences. Throughout these examples, an important principle remains: AI serves as support, while the legal professional maintains control and judgment.2
The five workflows we discuss below are:
- Contract analysis and review – AI for scanning contracts, identifying risks, and proposing changes.
- Case law and legislative analysis – AI that finds and summarizes relevant legislation and case law.
- Automating legal documents – Generating standard documents and detecting inconsistencies with AI.
- AI as a legal sparring partner – Models that help structure arguments and devise counterarguments.
- AI for internal knowledge management – AI that makes legal knowledge within the organization searchable and usable.
1. Contract Analysis and Review
Contracts form the foundation of much legal work. Research from the Richmond Journal of Law and Technology shows that AI systems achieve an average accuracy of 94% in identifying important clauses and risks in contracts - significantly higher than the 85% accuracy of experienced legal professionals.2
An example of an advanced AI tool for contract analysis is Harvey, developed in collaboration with OpenAI. Harvey can not only analyze contracts but also suggest improvements and identify potential risks.3
| Tool | Functionality | Benefits |
|---|---|---|
| Harvey | In-depth contract analysis and risk identification | High accuracy and fast processing |
| CoCounsel | Contract review and comparative analysis | Integrated with reliable legal sources |
Note: AI tools for contract analysis are aids. The ultimate responsibility for legal assessment always lies with the legal professional. Carefully check AI suggestions and do not apply them blindly.
2. Case Law and Legislative Analysis
Thomson Reuters achieved a significant breakthrough in 2023 with AI-assisted legal research. Their system can not only find relevant case law but also links answers directly to reliable Westlaw sources, minimizing the risk of "hallucinations" (making up non-existent sources).4
| Application | Benefits | Points of Attention |
|---|---|---|
| Semantic Search | Also finds relevant sources with different wording | Check if context is correctly interpreted |
| Automatic Summarization | Quick first impression of lengthy rulings | Verify important details in original text |
Casetext's summarize function is another example of how AI can accelerate legal research. The tool can analyze lengthy legal documents and extract key points, allowing legal professionals to more quickly assess the relevance of a ruling.5
3. Automating Legal Documents
The automation of legal documents has made a great leap forward thanks to AI. Law&Company, a leading legal firm in South Korea, reports that using AI tools like Claude has allowed them to speed up their document production by 67%, while improving quality and consistency.6
| Aspect | Traditional | With AI |
|---|---|---|
| Speed | Hours per document | Minutes per document |
| Consistency | Varies by author | Standardized |
| Quality Control | Manual review | AI-supported control |
Best Practices
McKinsey emphasizes that successful implementation of AI for document automation depends on:
- Clear workflows and processes
- Good training of staff
- Regular quality checks
- Integration with existing systems1
4. AI as a Legal Sparring Partner
Harvey, one of the most advanced AI tools for legal professionals, can not only analyze documents but also actively think along about legal issues. The system can:
- Formulate counterarguments
- Identify risks
- Suggest alternative approaches
- Reference relevant precedents3
Tip: Formulate your question to the AI as specifically as possible and provide relevant context. The more precise the input, the more useful the suggestions.
5. AI for Internal Knowledge Management
Thomson Reuters reports that effective knowledge management with AI support is one of the key trends in the legal sector. By integrating AI into knowledge management systems, organizations can:
- Find relevant precedents faster
- Advise more consistently
- Share knowledge more effectively between teams4
Practical Example
Law&Company demonstrates how AI can transform internal knowledge management. By implementing AI tools, they have:
- Achieved a 40% time saving in searching for relevant information
- Accelerated the onboarding of new employees
- Improved the consistency of legal advice6
Conclusion
The legal sector is at a tipping point. As McKinsey indicates, AI is transforming the role of legal professionals from pure knowledge workers to 'pilots' who strategically deploy AI systems to make their work more effective.1 The key to success lies in:
- Choosing the right tools for specific tasks
- Carefully implementing with an eye for quality
- Maintaining human control and judgment
- Experimenting and learning step by step
Start small, but do start. The technology is developing rapidly, and early experience is valuable for the future.
Legal professionals who are already experimenting with these workflows are building expertise that will only become more valuable in the coming years. AI does not replace the legal professional but enhances their capabilities – if used wisely.
