Compare

GC AI vs Sandstone: Choosing the Right Legal AI for In-House Counsel

Sandstone organizes the work coming into your legal team. GC AI does the work. Here is when in-house teams run an operating layer, a legal AI platform, or both.

Why In-House Lawyers Need Purpose-Built Legal AI

If you are comparing GC AI vs Sandstone, the first thing to settle is that they are two different categories of software. Sandstone is an AI-native operating layer for in-house legal teams: the system that pulls in requests, triages and routes them, and keeps a record of your matters, obligations, and contracts.

GC AI is a legal AI platform: the analytical layer that reads the contract, applies your playbook, drafts the redline, pulls the citation, and carries the rest of the in-house workload.

The question is which layer you are buying for, the coordination or the analysis. An operating layer is infrastructure a legal ops leader stands up to see the queue and route the work. A legal AI platform is what the lawyer opens every morning because it does the work itself.

Software that organizes the queue does not relieve the real constraint on a lean team. The contract still has to be read, the redline still has to be written, the regulatory question still has to be answered. That judgment work is the layer to buy first.

If you are comparing GC AI vs Spellbook, here is what matters most: when your legal AI is built for in-house counsel, the outputs come back ready to share with your CEO, your board, and your business partners.

GC AI gives your team that edge. Playbooks automate the contract reviews you run every week. Exact Quote cites documents at the character level. Research pulls real-time primary law with citations. Every feature reflects the way in-house teams work.

What is GC AI?

GC AI is an enterprise-grade legal AI platform trained specifically for in-house legal work. It connects your company’s contracts, policies, and data sources with the intelligence of modern LLMs, delivering precise, contextual answers that help legal teams accelerate business decisions. Unlike generic AI, GC AI understands contracts, compliance, and company context, so every answer aligns with how your business and legal team operate.

1,900+ in-house legal teams use GC AI daily, including 80+ public companies and 25 unicorns. In our December 2025 study of 100+ active customers, teams reported:

14 HRS

Saved per week per lawyer

14%

Reduction in outside counsel spend

21%

Greater accuracy than generalist AI

97.5%

See value in month 1

Photo of Cecilia Ziniti

GC AI's CEO and co-founder, Cecilia Ziniti, was a general counsel three times (Anki, Bloomtech, and Replit), in-house counsel at Amazon and Cruise, and started her career in-house as a paralegal at Yahoo.

Ziniti built GC AI to solve the problems she encountered firsthand as an in-house lawyer. That experience is embedded directly into GC AI's system prompt, tone, and workflows.

Compare GC AI vs Sandstone

Features

Features

Product category

Enterprise legal AI platform

AI-native legal operating layer

Primary buyer

The in-house lawyer doing the legal work

Legal operations running intake at small and mid-sized companies

Built for

The in-house lawyer's full analytical workload

The legal team's intake, coordination, and workflow

Core use case

Contract review, redlining, research, drafting, employment, privacy, board prep, stakeholder communication

Intake, triage, routing, matter and obligation tracking, contract repository, reporting

AI capabilities

AI intake and triage agents, Context Map, Living Playbooks, agentic redlining and drafting, multi-source citations

Research backbone

LLM models grounded by Exact Quote character-level citations plus multi-agent primary-law research

Knowledge retrieval across the customer's own repository and integrated tools

Word integration

Native: GC AI runs inside the Word document to redline, draft, issue-spot, and run web research as you read

Word is one of 50+ connectors; documents sync in and out, the analysis happens elsewhere

Pricing

$500 per seat per month, published

No public pricing (demo only)

Free trial

14-day, no credit card

Demo only

Security

SOC 2 Type II, SOC 3, GDPR, ZDR with OpenAI and Anthropic, AES-256

SOC 2, AES-256, TLS 1.3, US-hosted, contractual no-model-training

Best for

AI-powered contract review, research, and drafting for in-house teams

Coordinating and routing legal work for mid-market teams

Sandstone capabilities verified against Sandstone’s website as of July 2026.

What GC AI Delivers for Your Legal Work

Here is how these differences show up in your daily workflow.

GC AI runs inside the active Microsoft Word document: it reads the prose the lawyer is reading, drafts redlines as tracked changes, posts comments where the lawyer would have, and answers follow-up questions in the same panel. Sandstone lists Word among its 50-plus integrations, but that connection moves the document in and out of the platform; it does not sit in the document and do the markup with you. GC AI for Word carries Files, Projects, Easy Prompt, the Skill Library, and Chat2 web research across every matter, so the document and the follow-up question live in one window whether or not a contract is involved.

Watch a demo of GC AI by Cecilia Ziniti, CEO, Founder and 3X GC

Calculate Your ROI with GC AI

We asked 100+ customers what changed after adopting GC AI. They reported a 14% reduction in outside counsel spend, which translates to approximately $252,000 in annual savings for the median company.

See what those numbers look like for your team.

Case studies

What In-House Teams Say About GC AI

Who Should Choose Sandstone vs GC AI?

Three scenarios cover most of the decision.

Choose Sandstone If

  • Your bottleneck is coordination: work lands in five inboxes, a Slack channel, and a procurement tool, and nobody can see the queue.

  • You need a system of record for matters, obligations, and contracts, plus reporting on how the team spends its time.

  • You want AI woven into intake, triage, and routing, where the legal team's workflow already lives.

  • Legal operations owns the buying decision and runs intake for the whole department.

If those describe your team, Sandstone is on the right shortlist, and the decision is between Sandstone and other legal operating layers.

Choose GC AI If

  • You are in-house counsel where contract review is one slice of a broader analytical workload: regulatory, employment, privacy, drafting, research, and stakeholder communication.

  • Your bottleneck is the judgment-heavy work that lands on the lawyer's desk, not where it gets routed.

  • You want self-serve onboarding, published pricing, and a real free trial, not a rollout.

  • You want the legal AI platform that runs inside Microsoft Word, where the analytical work already happens.

  • You want every answer cited at the character level, ready to send to the CEO, the board, or outside counsel.

If those describe your team, GC AI is the answer, and an operating layer becomes a future buy when intake volume justifies it.

Choose Both If

  • You run Sandstone (or another operating layer) for intake and routing and want a separate platform for the legal analysis.

  • Your lawyers handle regulatory, employment, privacy, and board work that sits outside any intake queue.

Frequently Asked Questions

Sandstone is an AI-native operating layer for in-house legal teams: it pulls in requests, triages and routes them, and maintains a record of matters, obligations, and contracts. GC AI is a legal AI platform that reads contracts, applies playbooks, drafts redlines, and pulls citations. One coordinates the work; the other performs the analysis, drafting, and research the work requires.

Sandstone is an AI-native operating layer for in-house legal teams: it pulls in requests, triages and routes them, and maintains a record of matters, obligations, and contracts. GC AI is a legal AI platform that reads contracts, applies playbooks, drafts redlines, and pulls citations. One coordinates the work; the other performs the analysis, drafting, and research the work requires.

Sandstone is an AI-native operating layer for in-house legal teams: it pulls in requests, triages and routes them, and maintains a record of matters, obligations, and contracts. GC AI is a legal AI platform that reads contracts, applies playbooks, drafts redlines, and pulls citations. One coordinates the work; the other performs the analysis, drafting, and research the work requires.

Legal relationship management is the category Sandstone uses to describe its product: an operating layer that manages intake, triage, routing, and a system of record for matters, obligations, and contracts, plus reporting. A legal AI platform like GC AI sits on a different layer. It analyzes the substance of the work itself, reviewing contracts, drafting redlines, and researching questions rather than tracking where requests stand.

Legal relationship management is the category Sandstone uses to describe its product: an operating layer that manages intake, triage, routing, and a system of record for matters, obligations, and contracts, plus reporting. A legal AI platform like GC AI sits on a different layer. It analyzes the substance of the work itself, reviewing contracts, drafting redlines, and researching questions rather than tracking where requests stand.

Legal relationship management is the category Sandstone uses to describe its product: an operating layer that manages intake, triage, routing, and a system of record for matters, obligations, and contracts, plus reporting. A legal AI platform like GC AI sits on a different layer. It analyzes the substance of the work itself, reviewing contracts, drafting redlines, and researching questions rather than tracking where requests stand.

GC AI runs inside the active Word document, producing redlines as tracked changes and comments, with follow-up questions answered in the same panel. Sandstone lists Word among more than 50 integrations, but it moves documents in and out of its system rather than working inside the document itself. The distinction matters for lawyers who draft and redline directly in Word day to day.

GC AI runs inside the active Word document, producing redlines as tracked changes and comments, with follow-up questions answered in the same panel. Sandstone lists Word among more than 50 integrations, but it moves documents in and out of its system rather than working inside the document itself. The distinction matters for lawyers who draft and redline directly in Word day to day.

GC AI runs inside the active Word document, producing redlines as tracked changes and comments, with follow-up questions answered in the same panel. Sandstone lists Word among more than 50 integrations, but it moves documents in and out of its system rather than working inside the document itself. The distinction matters for lawyers who draft and redline directly in Word day to day.

GC AI publishes its pricing at $500 per seat per month and offers a 14-day free trial with no credit card required. As of June 2026, Sandstone does not publish pricing; it is quoted through a sales demo, consistent with a platform typically bought by legal operations rather than self-served by an individual lawyer.

GC AI publishes its pricing at $500 per seat per month and offers a 14-day free trial with no credit card required. As of June 2026, Sandstone does not publish pricing; it is quoted through a sales demo, consistent with a platform typically bought by legal operations rather than self-served by an individual lawyer.

GC AI publishes its pricing at $500 per seat per month and offers a 14-day free trial with no credit card required. As of June 2026, Sandstone does not publish pricing; it is quoted through a sales demo, consistent with a platform typically bought by legal operations rather than self-served by an individual lawyer.

Both meet enterprise security baselines. As of June 2026, GC AI holds SOC 2 Type II, SOC 3, and GDPR compliance, AES-256 encryption, and zero data retention agreements with OpenAI and Anthropic, and more than 80 public companies have cleared it through their own security review. Sandstone holds SOC 2, AES-256, TLS 1.3, US hosting, and a contractual no-model-training commitment. Compare the specific certifications your review requires against each vendor directly.

Both meet enterprise security baselines. As of June 2026, GC AI holds SOC 2 Type II, SOC 3, and GDPR compliance, AES-256 encryption, and zero data retention agreements with OpenAI and Anthropic, and more than 80 public companies have cleared it through their own security review. Sandstone holds SOC 2, AES-256, TLS 1.3, US hosting, and a contractual no-model-training commitment. Compare the specific certifications your review requires against each vendor directly.

Both meet enterprise security baselines. As of June 2026, GC AI holds SOC 2 Type II, SOC 3, and GDPR compliance, AES-256 encryption, and zero data retention agreements with OpenAI and Anthropic, and more than 80 public companies have cleared it through their own security review. Sandstone holds SOC 2, AES-256, TLS 1.3, US hosting, and a contractual no-model-training commitment. Compare the specific certifications your review requires against each vendor directly.

Yes. The two products solve different problems, so running both is common for teams that need an operating layer for intake and a separate platform for legal analysis. Sandstone would handle triage, routing, and the system of record for matters and contracts, while GC AI would handle contract review, redlining, research, and the broader analytical workload alongside that queue.

Yes. The two products solve different problems, so running both is common for teams that need an operating layer for intake and a separate platform for legal analysis. Sandstone would handle triage, routing, and the system of record for matters and contracts, while GC AI would handle contract review, redlining, research, and the broader analytical workload alongside that queue.

Yes. The two products solve different problems, so running both is common for teams that need an operating layer for intake and a separate platform for legal analysis. Sandstone would handle triage, routing, and the system of record for matters and contracts, while GC AI would handle contract review, redlining, research, and the broader analytical workload alongside that queue.

It depends on what a team needs replaced. GC AI is not an intake or ticketing system, so it is not a like-for-like substitute for Sandstone's coordination layer. It is a substitute for the analytical work Sandstone does not claim to do: contract review, redlining, research, employment and privacy questions, and drafting, all inside Word with published pricing and a 14-day free trial.

It depends on what a team needs replaced. GC AI is not an intake or ticketing system, so it is not a like-for-like substitute for Sandstone's coordination layer. It is a substitute for the analytical work Sandstone does not claim to do: contract review, redlining, research, employment and privacy questions, and drafting, all inside Word with published pricing and a 14-day free trial.

It depends on what a team needs replaced. GC AI is not an intake or ticketing system, so it is not a like-for-like substitute for Sandstone's coordination layer. It is a substitute for the analytical work Sandstone does not claim to do: contract review, redlining, research, employment and privacy questions, and drafting, all inside Word with published pricing and a 14-day free trial.

The choice comes down to where the bottleneck sits. Teams whose backlog is coordination, matters, obligations, and reporting, with legal operations owning the purchase, tend to start with Sandstone. Teams where the bottleneck is judgment-heavy analytical work, such as contract review, redlining, and research done inside Word, tend to start with GC AI. Some teams eventually run both.

The choice comes down to where the bottleneck sits. Teams whose backlog is coordination, matters, obligations, and reporting, with legal operations owning the purchase, tend to start with Sandstone. Teams where the bottleneck is judgment-heavy analytical work, such as contract review, redlining, and research done inside Word, tend to start with GC AI. Some teams eventually run both.

The choice comes down to where the bottleneck sits. Teams whose backlog is coordination, matters, obligations, and reporting, with legal operations owning the purchase, tend to start with Sandstone. Teams where the bottleneck is judgment-heavy analytical work, such as contract review, redlining, and research done inside Word, tend to start with GC AI. Some teams eventually run both.

Get started today.

1,900+ in-house legal teams chose GC AI over Harvey. Run research, redline contracts, and brief your execs with the legal AI built by a 3x GC.

Compare GC AI