Sandstone
Sandstone is an AI-native Legal Relationship Management platform and operating system for in-house legal departments. It connects companies, people, documents, relationships, and business context into a shared system of record, then uses that context to intake, triage, draft, execute, and measure legal work in the tools teams already use.
At a Glance
- General Counsel and Chief Legal Officer teams
- Legal operations departments
- Associate and assistant general counsels
- Practice-area legal teams
- +3 more
AI Tools by Sandstone
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Sandstone
AI Legal Platform for In-House Teams
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Latest News
Sandstone published AI Hallucination Guardrails: When AI Is Right, But Risky, explaining its approach to trustworthy, context-aware legal AI.
Sandstone received its first investment from GCVC, according to Reuters coverage highlighted in Sandstone's newsroom.
Sandstone launched the Evolving with Jessica Nguyen podcast for candid conversations with GCs and legal-operations leaders.
Sandstone announced a $30 million Series A led by Lightspeed Venture Partners.
Products & Services
The core AI-native operating layer for in-house legal: a connected system of record for legal relationships, requests, documents, decisions, workflows, and business context.
Catalogs companies, people, documents, contracts, past decisions, playbooks, and precedent in a connected repository; extracts terms and makes institutional knowledge reusable.
Captures requests from business channels, understands intent, gathers context, routes work to the right owner, and manages matters with permissions-aware task workflows.
Guided agents use playbooks and institutional context to triage, draft, redline, handle comments, apply fallback language, flag deviations, and move work through execution.
Market Position
Sandstone positions itself as an AI-native operating system and Legal Relationship Management platform for the whole in-house legal function, rather than a narrow contract repository, generic chatbot, or point CLM tool. It differentiates through domain-specific legal context, institutional-memory and relationship mapping, intake-to-execution workflows, permissions-aware integrations, and direct operation inside existing business systems. Competitors and adjacent alternatives identified by Sandstone include Ironclad, Icertis, Docusign CLM, Agiloft, Conga, Juro, LinkSquares, Luminance, SpotDraft, GC AI, Harvey, Ivo, Legora, Spellbook, Wordsmith, and Checkbox.
Leadership
Founders
Nick Fleisher
Co-founder and CEO; previously led McKinsey & Company's Legal Technology practice, advising law firms and Fortune 100/in-house legal teams on operations, data, AI, and talent. He graduated from Wharton in 2022 and is also described as a software engineer.
Jarryd Strydom
Co-founder and COO; previously an in-house technology attorney and a leader of legal-operations transformations at McKinsey. His experience included managing legal intake from Slack, procurement systems, and contract redlines.
Liam Germain
Co-founder and CTO; Nick Fleisher's former Penn roommate and a former product designer and software engineer who worked as an engineering/design leader at cyber and mapping-software companies. He graduated from Penn in 2023.
Executive Team
Nick Fleisher
Co-Founder & Chief Executive Officer
Former lead of McKinsey's Legal Technology practice and a software engineer.
Jarryd Strydom
Co-Founder & Chief Operating Officer
Former in-house technology attorney and McKinsey legal-operations transformation leader.
Board of Directors
Founding Story
Sandstone grew from the founders' shared frustration with in-house legal work being fragmented across inboxes, Slack, procurement tickets, contracts, and siloed repositories. Jarryd experienced the problem as in-house counsel, Nick saw it across companies while leading McKinsey's legal-tech practice, and Liam brought product-design and engineering expertise; together they set out to build an AI-native system where institutional legal knowledge becomes a competitive advantage and legal teams can focus on strategic work rather than process.
Business Model
Revenue Model
Sales-led B2B software sold to in-house legal departments, with pricing that scales by impact and may be seat-based or request-based; customers book a demo rather than self-serve checkout.
Pricing Tiers
The pricing page says pricing varies by use case and module and is modeled around typical or median clients; it presents seat-based or request-based pricing rather than public fixed tiers.
Target Markets
- General Counsel and Chief Legal Officer teams
- Legal operations departments
- Associate and assistant general counsels
- Practice-area legal teams
- Scaling startups and small-to-mid-sized businesses
- Enterprises and global companies
- Centralizing legal requests from Slack, email, Teams, ticketing, CRM, and procurement systems
- Contract intake, review, drafting, redlining, approvals, and renewals
- Legal matter management and routing to the right attorney or practice-area owner
- Knowledge management, precedent capture, and reusable legal playbooks
- Business self-service and routine legal-work automation
- Legal operations capacity, cycle-time, risk, and performance reporting
- Wayfair
- Hypertherm
- Grindr
- Mercury