NexLaw vs Relativity
Agile Litigation Intelligence vs. Enterprise eDiscovery Infrastructure
While Relativity is built for litigation support teams to manage datasets, NexLaw is built for lawyers to manage strategy.
NexLaw focuses on the high-value legal work: synthesizing facts, researching law, and crafting arguments, that happens after the document review is complete.
Relativity is the global standard for Enterprise eDiscovery, providing the heavy infrastructure needed to ingest, host, and process massive data volumes. NexLaw is a Litigation Intelligence Platform, designed to sit "above the noise" of discovery.
Comparison Snapshot
| Aspect | NexLaw | Relativity |
|---|---|---|
| Core Purpose | The Lawyer's Workspace: Focused on legal reasoning, narrative construction, and courtroom preparation. | The Data Infrastructure: Focused on data ingestion, processing, hosting, and large-scale review. |
| Primary User | Litigators & Trial Counsel: The lawyers arguing the case and writing the motions. | Lit Support & Reviewers: The technical teams and contract reviewers managing the database. |
| Best For | Strategic Case Building: When the priority is clarity, argument strength, and speed-to-draft. | Mass Data Management: When the priority is processing terabytes of data across global jurisdictions. |
| Case Strategy Tools | Active Legal Reasoning: AI that connects evidence to external case law and specific judges to stress-test arguments. | Internal Data Insights: "aiR" and "Storybuilder" tools focused on organizing internal facts found during review. |
| User Experience (UX) | Minimal-Learning Curve: Designed for immediate use by lawyers without technical training. | Administrator-Centric: Complex interface often requiring certified "Relativity Masters" to manage. |
| Real-Time Integration | Courtroom Assistant: Live retrieval and strategy adjustment during trial. | Cloud Platform: Accessibility via RelativityOne, primarily for review tasks. |
| Pricing Model | Predictable & Seat-Based: Friendly to firms of all sizes; no "peak data" surprises. | Volume-Centric: Pricing often driven by data hosting (GB) and processing fees. |
Testimonials
What Litigators Say About Our Legal AI Assistant

"After 31 years in military law and 150+ jury trials, I approached NexLaw with healthy skepticism. The platform exceeded my high expectations fundamentally changing how my team approaches research and case preparation. The TrialPrep feature has become indispensable, elevating our trial readiness to new heights."
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FAQ
Frequently Asked Questions
Think of Relativity as the warehouse and NexLaw as the workshop. Relativity is essential for storing and sorting millions of documents (the eDiscovery phase). NexLaw is where you take the critical 500 documents the, "hot docs" to build your timeline, draft your motions, and prepare your witnesses (the Litigation Strategy phase).
NexLaw is best for litigators and trial teams who find enterprise discovery platforms too clunky for day-to-day legal thinking. Whether you are a boutique firm or a practice group within a large firm, NexLaw provides a distraction-free environment to analyze evidence, research the law, and write your winning arguments without navigating complex data administration menus.
Relativity is the gold standard for Litigation Support Departments and organizations managing massive, complex data flows. If you have a case with 500GB of emails, chat logs, and foreign-language documents that need to be processed and reviewed by a team of 50 contract lawyers, Relativity is the correct infrastructure for that task.
For "Data Heavy" cases, no, they work better together. For "Strategy Heavy" cases (where the document count is manageable but the legal complexity is high), NexLaw can often serve as the sole platform. However, in most complex litigation, NexLaw is the perfect companion to Relativity. You leave the "noise" (millions of irrelevant emails) in Relativity, and you move the "signal" (the key evidence) into NexLaw to build your case.
Relativity's pricing reflects its nature as infrastructure, it is often based on the volume of data you store (GB) and the processing power you use. NexLaw's pricing reflects its nature as a productivity too, it is typically seat-based or usage-based, making it predictable and accessible whether you are analyzing 10 documents or 10,000.