Side-by-side comparison of AI visibility scores, market position, and capabilities
Nasdaq LAW; $144.8M revenue 2024 (+5% YoY); 315 large customers; Cecilia AI 32K docs/hour; 90%+ precision vs 75% human; EU launch 2025; legal tech market $31.59B; eDiscovery leader
DISCO is a legal technology company founded in 2013 in Austin, Texas, on the mission of using AI to make legal work faster, more accessible, and more just. The company's core technology applies machine learning to eDiscovery — the process of identifying, collecting, and producing electronically stored information in litigation — and has extended its AI platform into legal hold, case management, and contract analysis. DISCO is publicly traded on the New York Stock Exchange under the ticker LAW.\n\nThe DISCO platform serves law firms, corporate legal departments, and government agencies. Its AI engine, Cecilia, processes up to 32,000 documents per hour with 90%+ precision, significantly outperforming the roughly 75% accuracy typical of manual human review. This combination of speed and accuracy addresses the core economics of eDiscovery, which historically requires armies of contract attorneys for large-scale document review. DISCO serves 315 large customers and has expanded into the European Union with a 2025 product launch targeting GDPR-compliant eDiscovery workflows.\n\nDISCO reported $144.8 million in revenue for 2024, a 5% year-over-year increase, demonstrating durable growth in a competitive legal tech market. The company's position as one of the few publicly traded legal AI companies provides it with capital market transparency and credibility with enterprise buyers. As litigation volumes grow and legal departments face cost pressure, DISCO's AI-first approach to document review positions it as a structural cost-reduction platform rather than a discretionary software purchase.
$500M Series D at $11B valuation (Feb 2026) — largest voice AI funding round ever. $330M ARR; 1M+ developers using the API. Enterprise customers: Deutsche Telekom, Revolut, Meta, Salesforce. Voices in 32 languages; real-time cloning from 1 second of audio.
ElevenLabs was founded in 2022 by Piotr Dabkowski and Mati Staniszewski, two former Google and Palantir engineers who set out to break the language barrier using AI voice technology. The company specializes in AI-powered voice synthesis, cloning, and dubbing, enabling developers and enterprises to generate human-quality speech in over 30 languages. Its core technology combines deep learning models trained on massive speech datasets to produce natural-sounding voices indistinguishable from real humans.\n\nElevenLabs offers a suite of products including its flagship text-to-speech API, voice cloning tools, and an AI dubbing platform that localizes video content while preserving the speaker's original voice. Its products target a broad audience—from indie developers building audio apps to large enterprises deploying voice interfaces at scale. Key differentiators include ultra-low latency streaming synthesis, fine-grained voice customization, and a growing library of pre-built AI voices across accents and styles.\n\nElevenLabs has grown rapidly, surpassing $330M in annualized revenue and serving over 1 million developers. Enterprise clients include Deutsche Telekom, Spotify, and leading media companies. In February 2026, the company closed a $500M Series D at an $11B valuation, cementing its position as the market leader in AI voice. Its APIs power podcasts, audiobooks, video games, and customer service bots worldwide, making ElevenLabs the default infrastructure layer for AI-generated audio.
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