Abel is a powerful AI tool designed to transform the way legal professionals manage document reviews, particularly in industries such as litigation, mergers and acquisitions (M&A), and insurance. The platform allows lawyers to handle large volumes of documents by automating the extraction of key information such as important legal clauses, people involved, and email threads. This then enables legal teams to streamline their workflow, reduce manual errors, and provide more nuanced insights.
Abel is especially handy for answering complex legal questions by identifying and analyzing relationships between different entities in the documents. Speaking of which [documents], it can handle PDFs, emails, and spreadsheets.
Once digested into the AI, the system will create a structured representation of the information — making it easier for lawyers to access and review data that would otherwise require manual labor. This is meant to save time for lawyers as well as improve the precision of legal analysis.
With Abel, attorneys can search across and within documents rapidly, with the system providing citations to the exact location of relevant information — ensuring accuracy and efficiency in case preparation.
Abel is fully customizable, allowing firms to tailor the platform’s entity extraction pipelines to suit their specific needs. For example, firms can prioritize the extraction of key motions raised at trial or significant events within a legal dispute. This makes it highly adaptable, whether the team is handling large-scale litigation or conducting due diligence for M&A. Furthermore, the AI’s automations are also designed to “set and forget,” so that lawyers can instruct Abel to process and review documents on their schedule.
Lastly, we should add that security and privacy are key priorities for Abel, with the platform complying with data protection regulations like GDPR. This makes it suitable for law firms that handle sensitive information.