Strategic Insights Across Every Document
Understand any document in the context of your entire case, including summaries, key themes, and answers, all cited back to the source. Review Assistant provides citation-backed insights and direct Q&A to clarify complex evidence in a defensible way. Use sentiment analysis to detect emotional tone and custom extractions to automatically pull specific data points, ensuring critical details are surfaced during first-pass review without manual searching.
Go beyond simple coding by identifying relevant facts, potential risks, and key players, turning raw documents into a structured foundation for your case strategy.
Use AI to cross-reference document content against coding decisions, ensuring your outputs are grounded in evidence.
Elevate your team’s output and maximize resources by ensuring your organization has a unified starting point. Review Assistant supplements your team’s human intelligence so you can command the facts, insights, and strategy of your case.
Identify Key Players and Themes
Surface the “who, what, and when” hidden in your data. Review Assistant allows you to prompt for custom extractions of critical entities – such as people, organizations, and dates – and identifies major topics within the document, giving you structured data from unstructured text so you can get the clearest view of your case.
Ask Questions of Your Evidence
Interrogate individual documents using natural language and receive direct answers with clickable citations that point you to the exact paragraph where the evidence lives. Leverage it as an on-demand research assistant for eligible files, ensuring your team has the precise insights required to make confident strategic decisions.
Take Action on Contract Terms
Automatically pull critical information – such as diagnosis codes in medical records – directly from your documents, in bulk. When keywords are too broad and regex is too rigid, custom extractions deliver the precision you need to find the needle in the haystack across large document sets.
I have found Everlaw’s AI tools to be useful to interrogate data in complex documents to quickly ascertain our position. For example, if I have a deposition – let’s say 300 pages long – it could take hours to summarize, and the AI Assistant can do it in less than a few minutes.
Frequently Asked Questions
How does Everlaw Review Assistant help legal teams analyze documents?
Everlaw Review Assistant helps legal teams analyze documents by providing instant, evidence-based summaries, topic analysis, custom data extraction, and document-specific Q&A inside the review workflow. It turns individual documents into faster, more navigable, and more structured evidence by summarizing them, surfacing themes and entities, answering questions with citations, and extracting key facts.
How does Everlaw Review Assistant support large litigation data sets?
In large litigation matters, Everlaw Review Assistant helps by batch-processing big document sets, generating structured metadata and summaries for faster triage, and giving reviewers document-level analysis tools that reduce manual reading time.
How can lawyers use AI document Q&A during document review?
Lawyers can use AI document Q&A to ask document-specific questions during review, get fast cited answers, jump straight to the relevant pages, and turn that analysis into notes or decisions without reading every page linearly.