How to use AI to review documents
Posted: Mon Jan 06, 2025 9:25 am
Document review can often feel like a never-ending process: draft after draft, revisions piling up, and important details overlooked along the way.
For legal teams and business professionals, this is not just a waste of time, but a high-stakes challenge where accuracy is critical.
Let's face it. The process can seem slow and error-prone, even with checklists or version control. As document complexity and volume increase, traditional methods simply won't cut it.
AI tools make legal and business document automation faster and more accurate by detecting nuances, flagging issues, suggesting more appropriate language, and ensuring regulatory compliance, all while saving valuable time.
In this guide, we'll explore how you can use AI to review documents so your team can focus on high-value tasks with confidence.
What is AI Document Review?
AI-powered document review uses advanced technologies such as machine learning, natural language processing, and generative AI to analyze and review large sets of documents . Tasks that traditionally required hours or days of manual effort can now be completed in a matter of minutes.
Legal teams, especially in eDiscovery , benefit significantly from this document review process . It allows them to sift through extensive collections of electronically stored information (ESI) to find material relevant to proceedings.
Similarly, corporate teams rely on AI to speed up the review of vendor contracts, policies, and financial documents. These tools improve efficiency and help ensure compliance with regulations like GDPR and SOX, while flagging potential risks or discrepancies.
How does AI improve the document review process?
Using AI for documentation offers several key benefits:
Speed and efficiency : AI automates repetitive tasks such as data extraction (name, addresses, and dates) and organizes documents into different categories for quick access. This reduces time and effort, speeding up document reviews and improving document management workflow efficiency.
Advanced Search Capabilities : Using Natural Language Processing (NLP), AI understands the context of the document, allowing it to accurately identify relevant keywords or phrases, thereby outperforming traditional keyword searches.
Greater accuracy : AI-based tools minimize human error, ensuring that important information is not overlooked. These tools can also detect inconsistencies, making the review process more thorough.
Customizable algorithms : AI tools can oman number data be tailored to specific review needs. For example, legal teams can program AI to analyze contractual clauses or case-specific terminology, while corporate teams can focus on compliance checks, such as GDPR or SOX requirements.
Risk Identification and Compliance : AI-powered legal document review flags documents with potential risks, such as non-compliant clauses, data security issues, or legal liabilities, preventing critical oversights
Cost reduction : By speeding up the review process and reducing manual work, AI lowers the costs associated with document analysis, making it more affordable for teams and helps reduce the costs associated with analyzing legal documents.
Did you know? A study of 500 eDiscovery cases found that using a “human-in-the-loop” approach, where human experts review AI suggestions, resulted in accuracy rates 22% higher than fully automated or manual reviews. This shows that while AI is powerful, human oversight increases its accuracy, especially in complex legal matters.
For legal teams and business professionals, this is not just a waste of time, but a high-stakes challenge where accuracy is critical.
Let's face it. The process can seem slow and error-prone, even with checklists or version control. As document complexity and volume increase, traditional methods simply won't cut it.
AI tools make legal and business document automation faster and more accurate by detecting nuances, flagging issues, suggesting more appropriate language, and ensuring regulatory compliance, all while saving valuable time.
In this guide, we'll explore how you can use AI to review documents so your team can focus on high-value tasks with confidence.
What is AI Document Review?
AI-powered document review uses advanced technologies such as machine learning, natural language processing, and generative AI to analyze and review large sets of documents . Tasks that traditionally required hours or days of manual effort can now be completed in a matter of minutes.
Legal teams, especially in eDiscovery , benefit significantly from this document review process . It allows them to sift through extensive collections of electronically stored information (ESI) to find material relevant to proceedings.
Similarly, corporate teams rely on AI to speed up the review of vendor contracts, policies, and financial documents. These tools improve efficiency and help ensure compliance with regulations like GDPR and SOX, while flagging potential risks or discrepancies.
How does AI improve the document review process?
Using AI for documentation offers several key benefits:
Speed and efficiency : AI automates repetitive tasks such as data extraction (name, addresses, and dates) and organizes documents into different categories for quick access. This reduces time and effort, speeding up document reviews and improving document management workflow efficiency.
Advanced Search Capabilities : Using Natural Language Processing (NLP), AI understands the context of the document, allowing it to accurately identify relevant keywords or phrases, thereby outperforming traditional keyword searches.
Greater accuracy : AI-based tools minimize human error, ensuring that important information is not overlooked. These tools can also detect inconsistencies, making the review process more thorough.
Customizable algorithms : AI tools can oman number data be tailored to specific review needs. For example, legal teams can program AI to analyze contractual clauses or case-specific terminology, while corporate teams can focus on compliance checks, such as GDPR or SOX requirements.
Risk Identification and Compliance : AI-powered legal document review flags documents with potential risks, such as non-compliant clauses, data security issues, or legal liabilities, preventing critical oversights
Cost reduction : By speeding up the review process and reducing manual work, AI lowers the costs associated with document analysis, making it more affordable for teams and helps reduce the costs associated with analyzing legal documents.
Did you know? A study of 500 eDiscovery cases found that using a “human-in-the-loop” approach, where human experts review AI suggestions, resulted in accuracy rates 22% higher than fully automated or manual reviews. This shows that while AI is powerful, human oversight increases its accuracy, especially in complex legal matters.