For legal document review teams, the need to sort through tens – even hundreds – of thousands of electronic documents is hardly unusual. Fortunately, the integration of artificial intelligence (AI) with human expertise has revolutionized this process. Combining AI’s speed and accuracy with human judgment and understanding improves the efficiency and accuracy of how documents are reviewed and analyzed.
How AI Improves Efficiency
The most beneficial aspect of using AI for document review is that it quickly sifts through thousands of documents per hour via smart algorithms, digesting, interpreting, and classifying documents based on keywords, dates, and other important criteria. This initial analysis saves significant time for human reviewers, who can then focus on the more complicated aspects of review. Our partner, Relativity, offers aiR for Review in their cloud-hosted RelativityOne platform, which uses generative AI to deliver more efficient, consistent, and higher quality document review, allowing our experts to save you both time and money.
One significant cost-saving technique is incorporating aiR for Review into the QC process. AI can streamline and focus the QC process, allowing for a more in-depth and efficient process without sacrificing thorough screening.
AI-powered tools like Review Center, with AI-powered prioritization, as well as predictive coding and machine learning models, also respond to human feedback, getting increasingly better at recognizing patterns and understanding what’s important in a document. This continuous learning uses AI as a valuable tool for bringing important documents to light early in the process and making sure nothing important gets overlooked during the review process.
The Role of Human Experts
While AI is incredible at analyzing and organizing, human experts remain crucial, as they bring their understanding of legal frameworks and the ability to apply it to the facts of the matter at hand. Document reviewers also understand the specific needs of a case and can make judgment calls based on their experience, training, and education. They also need to train the AI platform and check multiple documents to ensure AI “understood” the human prompts and that it is analyzing the document pool correctly.
There are also ethical concerns like data privacy, algorithm bias, and transparency in decision making. Human reviewers must verify AI input, ensuring it falls in line with legal and moral guidelines to maintain trust, as well as the reliability of the review efforts.
Working Together for Better Results
The collaboration between AI and human expertise is all about combining the strengths of both for better results:
- Efficiency: AI speeds up the initial review process, allowing reviewers to focus on more complex tasks.
- Accuracy: People ensure that AI’s conclusions are correct and relevant, providing a critical layer of oversight.
- Cost-Effectiveness: By automating repetitive tasks, AI helps reduce the time and resources needed for document review, saving money for law firms and their clients.
The partnership between AI and human expertise in document review is a significant step forward in how organizations handle large volumes of documents. By leveraging AI’s speed and automation, alongside human judgment and insight, legal teams can achieve more efficient, accurate, and cost-effective document reviews. This collaboration not only improves operational efficiency but also ensures that legal standards are met, and decisions are made with confidence. As technology continues to advance, embracing this “teamwork” approach will continue to drive innovation and excellence in document review processes.
If you have questions about using AI in document review or are interested in discussing our managed review services, contact the document review experts at Avalon.
