Abel

Scrutinize legal records with machine learning, improving speed and accuracy of document review, and pinpointing key evidence and relevant data.
Document Review Automation Legal Technology Artificial Intelligence for Law Firms

Abel uses machine learning technology to scrutinize legal records, improving the speed and accuracy of document review. Built for litigation, Abel empowers lawyers and law firms to quickly and accurately sort through massive document sets, pinpointing key evidence and relevant data.

Some of the key features of Abel include:

  • Record Analysis: Thoroughly examine thousands of documents and get detailed, nuanced answers to complex questions.
  • Document Review: Automate the document review process so you can quickly find relevant files, privileged information and redaction areas.
  • Data Privacy and Security: Handles uploaded data with the highest level of priority, including strong privacy and security controls.
  • Document Import: Upload documents in their native format and create a secure index for easy search.
  • Natural Language Search: Search the entire record using natural language instead of relying on keyword or boolean searches.
  • Information Extraction: Extract detailed information from records using custom filters that are designed by your firm.
  • Automated Document Review: Review files for relevance, privilege and redaction using custom designed AI workflows.

Abel is built to integrate with your existing workflow, optimized for privacy and security. It's a great fit for many legal uses, including appeals, litigation, investigations and general practice.

Law firms and legal professionals seeking to improve their document review process will benefit from Abel's ability to get more done faster while maintaining the highest levels of accuracy and precision. To learn more and schedule a demo, visit the Abel website.

Published on June 14, 2024

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