The first project, Legalyze, is a legal AI-assistant designed to help law firms speed up document review. It can provide fast insights and summaries, AI-based analysis, a chat interface to ask questions about case files, the ability to create documents, and fact discovery across the entire case. Legalyze protects data with encrypted and protected data storage and doesn't train AI models on user data, so it's a good option for lawyers.
Another good option is Abel, a machine-powered information retrieval system for litigation. It lets lawyers and law firms quickly and accurately process massive quantities of legal records with features like automated document review, natural language search and strong privacy and security controls. It lets you drill down into documents, find the ones that matter and extract information with custom filters, all to make document review more productive.
If you want more advanced analytics and machine learning tools, Everlaw is a cloud-native ediscovery platform for litigation and investigations. It includes features like early case assessment, AI-assisted document review, foreign language translation and audio/video transcription. Everlaw's Storybuilder suite offers free post-review tools for managing investigations and litigation, and it has a clear pricing model with no extra charges for key features.
Also worth a look is ChatDOC, which uses AI to analyze and summarize documents. It can handle many file types, and it can provide quick answers to questions with citations. That makes it good for students, professionals and businesses that need to quickly extract information from documents. The browser extension lets you upload PDF files and get quick Q&A results, so you can quickly research and manage documents.