AI Case Study: AI-Powered Legal Research at BakerHostetler with ROSS Intelligence
BakerHostetler, a leading global law firm, has embraced Artificial Intelligence (AI) in legal research to improve efficiency and enhance client services.
By integrating ROSS Intelligence, an AI-powered legal research tool, the firm significantly reduced time spent on case law research while increasing accuracy and relevancy.
Read Top 15 Real-Life Use Cases For AI In the Legal Industry.
Background
Legal research is a time-intensive process that requires scanning large volumes of case law records, statutory laws, and legal documents to find precedents and relevant information. Traditional methods relied on manual searches through extensive legal databases, consuming valuable attorney hours.
BakerHostetler identified AI as a solution to streamline the legal research process while maintaining high accuracy and comprehensive analysis.
By integrating ROSS Intelligence, the firm sought to:
- Enhance legal research speed and accuracy.
- Provide attorneys with real-time, AI-powered legal insights.
- Optimize litigation strategies by leveraging data-driven legal precedents.
How BakerHostetler Uses AI for Legal Research
1. AI-Driven Case Law & Statutory Research
📌 How It Works:
- ROSS Intelligence utilizes Natural Language Processing (NLP) to understand legal queries in conversational language.
- In seconds, AI scans millions of case law records, precedents, and statutory laws.
- Machine learning continuously refines search accuracy based on attorney preferences and legal outcomes.
🔹 Example: An attorney at BakerHostetler needed relevant case precedents for a complex antitrust case. Instead of spending hours manually searching, ROSS Intelligence retrieved precise results in minutes, allowing the attorney to focus on strategy and client advisement.
2. Real-Time Legal Research Assistance
📌 How It Works:
- AI provides instant responses to legal inquiries, eliminating delays in research.
- ROSS Intelligence integrates with legal document management systems, streamlining workflow automation.
- Attorneys receive continuous updates on new legal rulings relevant to their cases.
🔹 Example: During ongoing litigation, BakerHostetler’s legal team received AI-generated insights on recent case law changes, allowing them to adjust their argument strategy dynamically, improving case success rates.
3. AI-Powered Legal Insights & Predictive Analysis
📌 How It Works:
- AI predicts legal outcomes by analyzing case law trends and judicial behaviors.
- Attorneys can evaluate risk factors and potential case success rates before litigation.
- ROSS Intelligence helps filter irrelevant results, improving focus on the most applicable precedents.
🔹 Example: BakerHostetler used AI-driven predictive analysis to determine which legal strategies were most likely to succeed in similar cases in the past, leading to more informed litigation decisions.
Read an AI case study at DLA Piper.
Benefits of AI-Powered Legal Research at BakerHostetler
✅ 60% Reduction in Legal Research Time – Attorneys spend less time searching for case law and more time advising clients.
✅ Higher Research Accuracy – AI filters out irrelevant data, ensuring attorneys access the most relevant legal insights.
✅ Improved Client Representation – Faster legal research lets attorneys focus on case strategy and client advocacy.
✅ Cost Savings for Clients – Efficiency gains reduce billable hours spent on legal research.
✅ Real-Time Legal Updates – Attorneys stay informed of recent rulings, law changes, and emerging legal trends.
The Impact of AI on BakerHostetler’s Legal Practice
By implementing ROSS Intelligence, BakerHostetler has achieved significant improvements in legal research efficiency and case strategy development:
- 60% reduction in research time, allowing attorneys to focus on higher-value legal work.
- More accurate case law retrieval, reducing the risk of oversight in legal precedents.
- Enhanced litigation strategies, as AI-driven legal insights provide data-backed recommendations.
- Greater client satisfaction, with quicker responses and cost-effective research solutions.
Conclusion
BakerHostetler’s adoption of ROSS Intelligence marks a transformative step in AI-powered legal research. By leveraging NLP and machine learning, the firm has successfully improved research accuracy, reduced time spent on case law retrieval, and optimized client representation.
As AI technology evolves, AI-driven legal research tools will become indispensable for law firms aiming to deliver efficient, high-quality legal services.
