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How legal teams put Claude to work

Watch to explore what leading firms and in-house teams are building next, and how the legal tech ecosystem is evolving around frontier AI.

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Claude Legal Solutions

Practice better judgment with Claude

Claude handles research, drafting, and the assembly of legal work, so your team can focus on the calls only they can make.

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“Our approach in the Freshfields Lab has always been to build on the best available technology. Claude’s capabilities have become an essential part of our proprietary AI-powered solutions. With this collaboration, we are going further: co-developing agentic workflows with Anthropic that can handle multi-step legal tasks end-to-end. For our clients, that translates into faster, more precise and more scalable legal services.”

Gerrit Beckhaus, Partner and Co-Head

“My legal team at Accenture put Claude to work on everyday legal matters, and we have been very excited to see how productivity gains could be realized.”

Mindy Lok, Global IP Legal Lead and Legal Chief Technology Officer

“The future of AI won’t be defined by where the work happens, it will be defined by whether the results can be trusted. In professional settings, that means AI grounded in authoritative content, validated for accuracy, and built with security at its core. That is the next frontier of trusted AI, and it’s where Thomson Reuters is leading through our work with Anthropic.”

Joel Hron, CTO

"I built our litigation platform on Claude with virtually no coding background — I needed it for a real trial. The breakthrough was treating Claude like a member of the case team: onboard it with chronology, key excerpts, and themes the way you'd onboard a partner joining mid-case. The work product is far beyond what I would've done on my own — probably ever."

Christopher D. Kercher, Partner, Founder & Head of AI & Data Analytics

“Legal is one of the most compelling industries for AI transformation, which is why we're excited to deepen our partnership with Anthropic. Claude Opus 4.7 scored 90.9% on Harvey's BigLaw Bench, the highest of any Claude model, and the Harvey for Claude Connector brings our legal intelligence directly into Claude.”

Winston Weinberg, CEO & Co-Founder

“Claude for Word brings the power of Claude's agents inside of lawyers' critical daily workflows. This frees up our team to focus on what matters most: lawyers applying expert judgment to complex edge cases, and engineers using rich context to build self-improving systems for clients.”

Ryan Daniels, Co-Founder & CEO

“Opus 4.7 is a step forward in reasoning for complex legal work — stronger consistency across long documents, better handling of nuanced instructions, and improved reliability in high-stakes workflows. Anthropic builds the underlying intelligence; Legora turns it into production-ready systems, embedding Claude into the workflows, safeguards, and interfaces lawyers can trust in practice. That combination is what drives real impact for legal professionals."

Jake Lauritzen, CTO

“At Holland & Knight, we appreciate that Everlaw is working with Anthropic and offering access to their tool through an MCP. We are applying Claude’s capabilities across many litigation workflows and see significant potential in realizing them in the right context. Everlaw allows us to bring the right evidence into the equation, unlocking additional power.”

Manfred Gabriel, Partner

"At Solve Intelligence, we benchmark every frontier model on the hardest parts of patent work: multi-step reasoning over long technical documents, chemical structure recognition, and complex diagram interpretation. Claude Opus 4.7 is a clear step up — and it's how we keep raising the bar across drafting, prosecution, search, and litigation-grade claim charting."

Sanj Ahilan, Chief Research Officer

"We evaluate every model against 24+ legal-specific scorers — citation accuracy, ungrounded case quotes, memory leakage, refusal correctness — because in litigation, an authoritative-sounding hallucination is worse than no answer. Claude wins our internal bake-offs every time on the metrics that matter for legal work, particularly grounding and citation faithfulness. That's why the highest-stakes parts of our pipeline run on Anthropic."

Jay Madheswaran, CEO and Co-Founder
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Built for legal work

Claude reviews contracts, surfaces case law, and drafts across the tools your team already uses. Every output can be traced back to its source, on infrastructure your risk and compliance teams trust.

Connected to your tools

Claude connects to iManage, NetDocuments, Docusign, Ironclad, and Thomson Reuters. No copy-paste, context switching, or re-explaining every time you start a new task.

Designed for your practice

New plugins for commercial legal, corporate legal, IP, litigation and more — configured for your practice area, extensible with your team’s playbook and house style. Extend them with custom skills and connectors.

Works where lawyers do

Use Claude for Word, Outlook, and the document management systems your team already uses. In Claude Cowork, delegate multi-step tasks and run skills to speed up your processes.

Confidentiality by design

Enterprise security, full audit trails, no training on your data by default on Team and Enterprise plans. Claude clears the bar for sensitive matters and privileged work, so your team can focus on strategy and high-stakes work, worry-free.

How Anthropic uses Claude 
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Mark Pike, Associate General Counsel, shares how Anthropic's legal team uses Claude to build workflows that cut review times from days to hours—no coding required.

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Democratizing access to legal services
legal services

We're working with Free Law Project and the Justice Technology Association to make legal help more affordable. Qualifying clinics and public defenders get discounted Claude pricing via the Claude for Nonprofits program.

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Claude for the legal industry

New connectors, practice-area plugins, and democratizing access to legal services.

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How legal teams use Claude

Research brief — for counsel review

EU AI Act, Article 10

Data minimization obligations for high-risk AI systems

Scope: Art. 10 · DE, FR, IT · 12-month enforcement

Article 10 — key obligations

Providers of high-risk AI systems must meet the following data and governance requirements. Each item is pinned to its source paragraph for verification.

  • Datasets must be relevant, representative, and as error-free as possible.
    • Verified Reg. (EU) 2024/1689, Art. 10(3)
  • Dataset origin, governance, and preparation steps must be documented.
    • Verified Reg. (EU) 2024/1689, Art. 10(2)(a)–(c)
  • Datasets must be examined for biases affecting health, safety, or fundamental rights.
    • Verified Reg. (EU) 2024/1689, Art. 10(2)(f)–(g)
  • Special-category data permitted for bias correction only where strictly necessary.
    • Confirm Rg. (EU) 2024/1689, Art. 10(5); cross-ref. GDPR Art. 9(2)(g)
  • Operates alongside GDPR Art. 5(1)(c) — does not displace minimization.
    • Verified AI Act Recital 67; cross-ref. Reg. (EU) 2016/679, Art. 5(1)(c)

Art. 10 obligations cascade into Art. 9 (risk management) and Art. 17 (quality management). Defined terms "training data," "validation data," and "testing data" (Art. 3) carry through; verify consistency where source materials predate the final adopted text.

Member state implementation

Germany

  • Notable posture BNetzA leads market surveillance; emphasis on dataset documentation.
  • Open issue BNetzA / Länder DPA allocation unsettled.
  • Source pin BMWK guidance, Mar. 2025

France

  • Notable posture CNIL active; strict-necessity test for Art. 10(5) processing.
  • Open issue National AI authority designation pending.
  • Source pin CNIL recommendation, 2024

Italy

  • Notable posture Garante enforcing on training-data lawfulness ahead of phase-in.
  • Open issue Sequencing with AI Act timelines unclear.
  • Source pin Garante decision register

Cross-references not fully traced: French CNIL recommendations predate the final AI Act text — check whether "high-risk" scope mapping still aligns. Italian Garante decisions cite GDPR, not the AI Act; treat as analogous, not directly on point.

Recent enforcement — last 12 months
  • Garante (Italy). Training-data lawfulness in generative AI deployment. Penalty amount — confirm before relying.
    • Verified Garante decision, 2024 (registry no. — confirm)
  • CNIL (France). Sanction on dataset documentation and lawful basis. Penalty amount — confirm before relying.
    • Confirm CNIL deliberation — reference not located
  • EDPB. Opinion on AI training data and GDPR minimization — guidance instrument.
    • Verified EPB Opinion 28/2024 (confirm number)

Flag for counsel — unsettled and cross-cutting

Items below are unresolved at the regulatory level or depend on cross-references that should be re-traced before reliance.

  • Scope of Art. 10(5) strict-necessity test — guidance varies; cross-check against GDPR Art. 9(2)(g) and member state implementing law.
  • Interplay with GDPR Art. 5(1)(c) — not yet litigated; AI Act Recital 67 signals concurrent application but does not resolve overlap.
  • Documentation depth expected under Art. 10(2) — divergent national posture likely; BNetzA, CNIL, and the Garante have not aligned.
  • Defined-term consistency — "training data," "validation data," "testing data" (Art. 3) may not map cleanly onto pre-existing dataset taxonomies in client materials.

Legal review required. Claude-generated content — verify conclusions and citations before relying.

Legal research

Ask Claude to surface relevant case law or regulatory guidance via Thomson Reuters. Get a structured memo with citations, not a list of links to dig through yourself.

ma diligence dashboard

Due diligence document review

Connect Claude to a Box or Intralinks data room. Claude reads and categorizes the document set, flags material issues, and drafts the diligence summary. Work that used to take days of associate time.

Statement of Work

SOW No. 2026-DV-014 · Issued under MSA dated March 14, 2024

1. Term and scope

Six-month engagement under the MSA. Vendor shall provide data labeling services for ten thousand (10,000) documents per calendar month, with completed datasets delivered to Client no later than the 15th of the following month per Exhibit A.

2. Fees and payment

Fees shall be invoiced monthly in arrears upon acceptance. Payment terms shall be Net 601 from date of invoice.

  • 1 Counterparty changed Net 30 to Net 60. Last 8 vendor SOWs all closed at Net 30 with no concession.
  • Pinned to template §5.2

3. Intellectual property

All labeled datasets and derivative outputs produced under this SOW shall be the sole property of Client. Vendor retains a perpetual, royalty-free license to use anonymized annotation methodology and aggregated statistical outputs for internal model improvement.2

  • 2 Counterparty added IP license-back. Template assigns all work product to Client outright; this carves out methodology and aggregated outputs.
  • Cascades to §9 confidentiality — "Aggregated Outputs" undefined

4. Indemnification

Vendor shall indemnify Client against third-party claims arising from Vendor's gross negligence or willful misconduct3.

  • 3 Indemnification narrowed from broad performance/IP/confidentiality to gross negligence and willful misconduct only.
  • §11.3 cross-reference may break without conforming edit

5. Governing law

This SOW shall be governed by the laws of the State of California4, without regard to conflict of laws principles.

  • 4 Governing law changed from Delaware to California. We've accepted CA on 2 of 12 prior SOWs when counterparty held leverage.
  • MSA §22 venue still references Delaware courts

Legal review required. Claude-generated content — verify conclusions and citations before relying.

Contract lifecycle

Claude drafts the NDA or SOW in Word, routes it to Ironclad for CLM tracking, and surfaces status on request. The whole flow without leaving Claude.

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Outside counsel and matter review

Pull billing and matter data into Claude. Spot off-pattern entries, flag matters drifting against budget, and prep for relationship-partner conversations.

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Regulatory compliance gap analysis

Run a compliance gap analysis against a named framework. Claude pulls evidence from your systems, scores severity, and flags what needs attention before audit.

Build legal products with Claude

Embed Claude into your legal platform or product through the API and Agent SDK.

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MCP for legal data

Connect your contract systems, document repositories, and matter data to Claude through Anthropic's open Model Context Protocol.

Frontier models

Claude leads on legal reasoning benchmarks across contract review, citation accuracy, and long-document comprehension.

Built for sensitive data

Deploy in sandboxed containers with network controls, credential isolation, and audit logging built into the SDK.

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Tools made for the way you work

Claude for M365

Word is where legal work gets done. Claude handles full redlining with tracked changes, document comparison, and MSA-scale review without leaving the doc. It pulls in pleadings, prior versions, and Outlook context, drafts the next turn for your review, and tracks every change for the audit trail.

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Claude Cowork

Hand off multi-document matter tasks: drafting a memo against pleadings, preparing for a deposition. Like a trusted senior associate, you delegate to Claude and come back when it’s done, so you can do deeper work.

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Plugins

Add practice-area plugins for contract review, NDA triage, compliance workflows, and more, all configurable to your organization's playbook and risk tolerances.

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Platform

Integrate Claude directly into your CLM, matter management, or e-discovery systems. Build production-grade workflows on the same frontier models that firms like Freshfields and Quinn Emanuel do.

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Claude connects to your legal ecosystem

Matter management, research platforms, contract tools, and data rooms: finally all in one place.

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See what Claude does for legal teams

Whether you're an in-house team looking to scale or a firm building on Claude, we can help you figure out where to start.

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