Litigation & eDiscovery

Citation and fact verification layer for legal writing, delivered as a Microsoft Word add in and aimed at litigators, in house teams, courts, arbitrators and government agencies working on fact intensive documents. Detects every citation in a document to both facts and law, scores how well each sentence is supported by the page it cites, and flags missing sources, formatting errors and weak support. The Cite Check Report is a downloadable per document audit trail of citation review activity with hyperlinks to each flagged item for the signing attorney. Deliberately uses classic machine learning and natural language processing rather than generative models for the checking function, so the checker itself cannot hallucinate, alongside separate generative features for drafting. Displays cited authority through integrations with LexisNexis, requiring a subscription, and Fastcase and vLex, not requiring one, and maps proprietary Westlaw citations to those databases. Produces hyperlinked filings a judge or client can open without a Clearbrief subscription. Enterprise Bring Your Own Storage option keeps uploaded documents in the customer's own cloud. Founded by Jacqueline Schafer, a former assistant attorney general.

Cloud native ediscovery and litigation platform spanning DISCO Ediscovery, DISCO Review, DISCO Hold, Request and Case Builder, sold to corporate litigation teams, Am Law 200 firms and government. Cecilia AI is the generative layer: Cecilia Q&A answers conversational questions about case evidence with citations always included, Cecilia Auto Review performs first pass review at around 25,000 documents an hour against plain English prompts crafted with the vendor's ediscovery experts, giving a written explanation for each tag suggestion, plus Doc Summaries and Timelines. Agentic Cecilia adds an autonomous multi step reasoning engine to Q&A with user selectable Quick thinking and Advanced research modes, the vendor claiming to be first to bring agentic AI to fact investigation and ediscovery at scale. Operated by CS Disco, Inc., listed on Nasdaq as LAW, which reported 1,549 customers including 330 large customers and a 98 percent dollar based net retention rate as at 31 December 2025, and moved to a usage based pricing model in 2026.

Cloud native ediscovery, investigation and litigation platform covering upload and processing, search, review, production and trial preparation, sold to law firms, corporate legal departments and government agencies including United States attorneys' offices. EverlawAI Assistant, launched autumn 2024 and shaped by input from nearly 3,000 users, adds generative features: Review Assistant, Coding Suggestions for automated first pass review, Writing Assistant, custom extractions, automated deposition analysis, and Deep Dive, which answers natural language questions across millions of documents with answers grounded in extracted facts and citations back to source documents. Architecture is a closed loop system combining enterprise large language models under zero data retention terms with a vector database holding embeddings of customer documents, with no link following or web browsing. The first ediscovery vendor to have its full portfolio of generative AI features FedRAMP authorised, independently tested by a third party assessment organisation. In region AI processing is available for United Kingdom and European customers.

Self service discovery automation platform covering upload, processing, culling, review, redaction, legal hold and production without a service bureau, aimed at corporate legal departments, state and local government, law firms, educational institutions and non profits handling litigation, FOIA and public records requests, internal investigations, subpoena responses and data subject access requests. Machine learning runs through the workflow as Culling Intelligence, which automatically categorises ingested data into predefined filters including document type and personally identifiable information, alongside automated PII detection and redaction, similar document detection, email threading and audio and video transcription. Direct collection integrations pull from Google Vault, Slack, Microsoft 365, Box and, from 2026, Onna for collaboration platform data. In March 2026 the owner announced major investment adding ASK generative AI, the Onna integration, European cloud hosting and new pricing options. Acquired by Reveal in August 2023 as part of a combined acquisition with IPRO valued at more than $1bn, and marketed since as one of Reveal's two platforms, the self service counterpart to Reveal Enterprise, which is indexed separately.

Ediscovery and legal data intelligence platform, delivered as RelativityOne on Microsoft Azure, covering legal hold and preservation, collection, processing, review, production and analytics for law firms, corporations, government and legal service providers. Relativity aiR is a suite of five generative AI products built into the platform: aiR for Review, aiR for Privilege, aiR for Case Strategy, aiR for Data Breach Response and aiR Assist, alongside AI Help. Output is designed to be transparent, reviewable and defensible, with each aiR decision accompanied by a rationale and aiR for Privilege generating privilege log descriptions automatically. Governed by published Relativity AI Principles. Technology assisted review has been in the platform for years, predating the generative layer. States adoption by 192 of the Am Law 200 and more than 110 legal service provider partners. Runs a formal user certification programme covering generative AI and individual aiR products.

AI powered ediscovery and investigations platform covering the full EDRM from legal hold and processing through early case assessment, review, analytics and production, handling more than 900 file formats. Assembled through acquisition: Mindseye for processing, NexLP for data science becoming Reveal AI, and Brainspace for visual analytics and concept search, integrated in Reveal 11. Machine learning runs throughout rather than sitting in one module, spanning supervised and unsupervised learning, deep learning and natural language processing, with an AI Model Library of more than 30 pre built reusable models for recurring investigation types such as harassment and discrimination, customer built custom models trained through AI driven batches with interactive simulations, predictive scoring, concept search, cluster visualisations, translation and transcription across languages, and sentiment analysis the vendor markets as emotional intelligence. Ask is the first generative feature, taking deposition style natural language questions and returning a narrative answer with supporting materials. Cloud and private in firewall deployment are both offered, with private deployment investment expanded by half on stated enterprise demand. Backed by a $250m investment from K1 Investment Management.