Disco vs Modal
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
About
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.
Serverless GPU cloud platform for AI/ML with Python-native deployment and per-second billing; developer-favorite scaling from zero competing with Replicate and Beam for AI compute.
About
Modal is a serverless cloud computing platform purpose-built for AI and machine learning workloads — providing on-demand GPU compute that scales instantly from zero with per-second billing, container management, distributed training support, and a Python-native developer experience that makes running ML workloads in the cloud feel as simple as running code locally. Founded in 2021 in New York City and backed by Redpoint Ventures and other investors, Modal has grown rapidly as AI development has accelerated demand for flexible, developer-friendly GPU infrastructure.\n\nModal's developer experience is its primary differentiator — engineers write Python functions decorated with @modal.function() and deploy them to the cloud with a single command, with Modal handling container building, GPU provisioning, auto-scaling, and execution. The platform supports training jobs that need distributed compute across multiple GPUs, model serving endpoints that scale to zero when unused (eliminating idle GPU costs), and batch inference jobs that process large datasets. The per-second billing model means developers pay only for actual compute time, not provisioned instances.\n\nIn 2025, Modal competes in the AI infrastructure market with Replicate, Beam, Banana, and major cloud providers' managed ML services (AWS SageMaker, Google Vertex AI, Azure ML) for serverless GPU compute. The market for AI-specific cloud infrastructure has grown dramatically as the number of ML engineers deploying models to production has expanded — traditional cloud providers require significant DevOps expertise to use GPU instances effectively, while Modal's Python-native approach reduces the barrier to entry. Modal has attracted a strong developer following among AI researchers and ML engineers building production AI applications. The 2025 strategy focuses on growing the developer community, adding enterprise features (dedicated GPU capacity, private networking, compliance), and expanding the hardware options available (H100 GPUs, custom accelerators).
AI Visibility Head-to-Head
Capabilities & Ecosystem
Capabilities
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.