About

Provided by Lighthouse

Lighthouse partners with corporate legal departments, Am Law firms, and multinational organizations on high-stakes litigation, investigations, regulatory response, and compliance matters. The team combines deep legal expertise with LighthouseIQ, its AI-powered legal intelligence platform, which includes IQ Answers, IQ Case Strategy, IQ Review, and IQ Priv. Together, these applications enable natural-language data interrogation, case strategy development, responsive review, and privilege analysis at unprecedented scale.

LighthouseIQ has been proven across more than 1.4 billion documents, with the ability to analyze up to 33 million documents in a single day, and has delivered outputs accepted by regulators, including the FTC and DOJ.

Recent standout work includes helping clients uncover critical evidence earlier in the matter lifecycle, reducing review populations by hundreds of thousands of documents, accelerating investigations from months to days, and generating multimillion-dollar savings through AI-powered review and privilege workflows. As C.J. Mahoney, Partner and Global Head of eDiscovery and Litigation Technology at Cleary Gottlieb Steen & Hamilton LLP, noted: “With LighthouseIQ, we can get to critical insight much faster and make informed decisions earlier in the lifecycle of a matter,” enabling legal teams to reach defensible, data-backed outcomes more quickly.

Chambers Review

Provided by Chambers

Litigation Services - Global-wide

2
Band 2

What the Team is Known For

Lighthouse is an eDiscovery and document review business with a strong focus on integrating AI into its processes. Its platforms integrate with widely-used eDiscovery platforms like Relativity while reducing the need for human review.

Notable practitioners

Cassie Blum, a practice manager at Lighthouse, is a key contact.

Work Highlights

  • Lighthouse designed and managed an AI workflow to enable a multinational telecoms company to respond to an antitrust Second Request which encompassed more than 30TB of data. The team used AI to handle a relevance review, create a standardised names list and surface high-risk documents automatically. Its privilege classification model excluded roughly 780,000 of 1.7 million documents in the set, and the firm produced more than 10TB of data and 20 million images to the regulator with no errors.

Strengths

Provided by Chambers