AI Legal Vendors

Browse 10 AI vendors serving the legal industry, with source-linked deployment evidence where available.

Which Legal AI vendors have documented deployment evidence?

Based on explicit links to published case studies with cited sources, the vendors with the most documented legal deployments in this directory are Everlaw (8), Luminance (8), Harvey AI (7). This is an evidence-count comparison, not a product-quality score or an exhaustive market ranking.

Published vendors: 10
Vendors with documented evidence: 7
Linked deployments: 37

Limitation: Outcomes remain source-reported and may be vendor-published. Missing vendor links, integration data, governance data, or source dates remain unknown and do not prove a vendor lacks capability.

Vendors

With Documented Evidence

Linked Deployments

Compare Legal AI vendors by documented deployments

Results are ordered by qualifying published case studies, then vendor name. Paid listing tier never changes evidence eligibility, facts, filters, or comparison order.

Industry or segmentUse case

Documented evidence only

Showing 7 of 10 published vendors

Legal AI vendors in Legal compared by explicit, source-linked deployment evidence
Vendor	Documented evidence	Segment and use case	Evidence dates	Integration and governance
Everlaw Cloud-based litigation platform with AI-powered document review	8 documented deployments View supporting evidence Orrick: Orrick cuts document review costs over 50% with GenAI coding suggestions Cited source: www.everlaw.com More than 50% reduction Document Review Cost ~10,000 Documents Reviewed with Coding Suggestions 1 document Human Reversals of GenAI Not-Relevant Calls Am Law 200 Firm: Am Law 200 firm cuts new-matter setup time 83% and generates $2.5M in partner review revenue Cited source: www.everlaw.com 83% reduction Time to Establish New Matters $2.5 million Revenue from Partner Review Hours 25% reduction Non-Billable Admin Time Dinsmore & Shohl: Dinsmore & Shohl Lifts Contract-Review Recall to 98.2% with Layered AI for Cyber Incident Response Cited source: www.everlaw.com 98.2% Final Recall Rate 26,000 Contracts Reviewed ~260 attorney hours (6+ weeks) Manual Review Hours Avoided (firm estimate) Orrick: Orrick cuts document review costs by over 50% using EverlawAI Coding Suggestions in IP litigation Cited source: www.everlaw.co.uk More than 50% Document Review Cost Reduction ~10,000 Documents Processed Bracewell: Bracewell cuts data-to-review time to same-day delivery with Everlaw e-discovery platform Cited source: www.everlaw.com Same day (down from 2–3 days) Data-to-Review Time Fortune 500 Company: Fortune 500 construction company cuts e-discovery costs 70% by bringing review in-house with Everlaw Cited source: www.everlaw.com 70% savings ($260K → $75K) E-Discovery Cost Reduction Reduced from 400,000 to 200,000 Documents Outsourced for Review 400,000 records reviewed in ~3 weeks Initial Review Turnaround London & Naor P.C.: London & Naor P.C. competes with BigLaw using Everlaw as a force multiplier for document review Cited source: www.everlaw.com Am Law 100 Firm: Am Law 100 firm cuts document review time by 50% with Everlaw AI Cited source: Everlaw 50% Review Time Reduction Higher recall than manual Review Quality	Segments: Corporate Legal & In-House, Law Firms, Litigation & Disputes Use cases: E-Discovery & Document Review	Corpus published: Jul 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Orrick: source published Feb 6, 2025; link checked Jul 28, 2026 Am Law 200 Firm: source published Jun 26, 2025; link checked Jul 28, 2026 Dinsmore & Shohl: source published Mar 24, 2026; link checked Jul 28, 2026 Orrick: source published Not available in structured evidence; link checked Jul 28, 2026 Bracewell: source published Not available in structured evidence; link checked Jul 28, 2026 Fortune 500 Company: source published Not available in structured evidence; link checked Jul 28, 2026 London & Naor P.C.: source published Not available in structured evidence; link checked Jul 28, 2026 Am Law 100 Firm: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Luminance AI platform for contract intelligence and legal analysis	8 documented deployments View supporting evidence Trench Group: Trench Group cuts contract review from 150 to 30 minutes and handles 80% without legal Cited source: www.luminance.com 150 minutes to 30 minutes Average Contract Review Time 80% Contracts Handled Without Legal Intervention 2.5 weeks to under 2 hours Tariff Analysis Across 700 Contracts Trench Group: Trench Group cuts average contract review from 150 to 30 minutes with Luminance Cited source: www.luminance.com 150 mins to 30 mins Average Contract Review Time 80% Contracts Handled by Wider Business <2 hours vs. 2.5 weeks Tariff Review Project Time Clyde & Co: Clyde & Co frees two-person claims team with AI form extraction at 19/20 field accuracy Cited source: www.contextwindows.ai 19/20 Fields Identified 2 people Required Team Size 24 hours Platform Deployment Time Avianca: Avianca cuts contract review time 90% with Luminance AI for in-house legal team Cited source: www.cambridgenetwork.co.uk 90% Contract Review Time Saving 1,000 documents in 3 hours First Review Completed 30,000+ Documents Under Management Trench Group: Trench Group cuts contract review times 80% with Luminance AI Cited source: itbrief.co.uk 80% (150 min → 30 min) Contract Review Time Reduction 80% Contracts Handled Without Legal Team 2.5 weeks → under 2 hours Tariff Analysis Time Shahin: Shahin cuts external legal costs by 90% with Luminance AI contract review Cited source: www.luminance.com 90% Reduction in External Legal Costs 200,000 AED Annual Cost Savings Hours instead of weeks Contract Turnaround Time Hitachi Vantara: Hitachi Vantara cuts NDA cycle to under 5 minutes and saves 500+ hours annually with Luminance AI Cited source: www.luminance.com <5 minutes from generation to signature NDA Cycle Time 500+ hours per year Contract Drafting Hours Saved Reduced (magnitude unspecified) Third-Party Paper Usage Flex: Flex reduces contract review time by 30% across 5,000+ contracts using Luminance AI Cited source: Luminance 5,000+/year Contracts Managed 30% Review Time Reduction	Segments: Corporate Legal & In-House, Law Firms Use cases: Contract Review & Analysis, E-Discovery & Document Review	Corpus published: Jul 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Trench Group: source published Not available in structured evidence; link checked Jul 28, 2026 Trench Group: source published Not available in structured evidence; link checked Jul 28, 2026 Clyde & Co: source published Oct 30, 2025; link checked Jul 28, 2026 Avianca: source published Not available in structured evidence; link checked Jul 28, 2026 Trench Group: source published Not available in structured evidence; link checked Jul 28, 2026 Shahin: source published Not available in structured evidence; link checked Jul 28, 2026 Hitachi Vantara: source published Not available in structured evidence; link checked Jul 28, 2026 Flex: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Harvey AI AI-powered legal assistant built on large language models	7 documented deployments View supporting evidence Allen & Overy: Allen & Overy becomes first law firm to deploy enterprise-wide generative AI via Harvey Cited source: www.barandbench.com 3,500+ Lawyers with AI Access 43 Global Offices Covered Allen & Overy: Allen & Overy deploys Harvey AI firmwide across 3,500 lawyers in 43 offices Cited source: www.legal.io 3,500 across 43 offices Lawyers Using Harvey ~40,000 Queries Submitted During Trial 250 Practice Areas Covered HSBC: HSBC pilots Harvey AI to augment in-house legal team capabilities Cited source: www.resultsense.com Multiple law firms (Harvey AI study cohort): Harvey AI power users at law firms save 37 hours monthly with legal AI platform Cited source: blockchain.news 37 hours/month Monthly Hours Saved (Power Users) 28.3 hours/month Monthly Hours Saved (In-House Power Users) 83% of participants Improved Workplace Fulfillment Stinson LLP: Stinson LLP adopts Harvey AI firmwide after 100-attorney pilot to streamline attorney workflows Cited source: ingrams.com 100+ attorneys Pilot Size Carvana: Carvana legal team saves 7-10 hours per week per professional using Harvey AI Cited source: longbridge.com 7-10 hours Hours Saved Per Professional Per Week 70+ Professionals Using Platform Allen & Overy: Allen & Overy deploys Harvey AI across 43 offices for 4,000+ lawyers Cited source: Harvey AI 4,000+ Lawyers Using AI 43 Offices Deployed	Segments: Corporate Legal & In-House, Law Firms Use cases: Legal Operations & Matter Management, Legal Research & Case Law	Corpus published: Jul 28, 2026 Sources checked through: Jul 28, 2026 Per-source dates Allen & Overy: source published Not available in structured evidence; link checked Jul 28, 2026 Allen & Overy: source published Not available in structured evidence; link checked Jul 28, 2026 HSBC: source published Not available in structured evidence; link checked Jul 28, 2026 Multiple law firms (Harvey AI study cohort): source published Not available in structured evidence; link checked Jul 28, 2026 Stinson LLP: source published Not available in structured evidence; link checked Jul 28, 2026 Carvana: source published Not available in structured evidence; link checked Jul 28, 2026 Allen & Overy: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Relativity E-discovery and compliance platform with AI-powered review	6 documented deployments View supporting evidence Arnold & Porter: Arnold & Porter cuts privilege review costs ~75% with Relativity aiR in antitrust matter Cited source: www.mondaq.com ~75% vs. full linear review Privilege Review Cost Savings ~500,000 documents Document Set Size ~2 weeks (firm attorney) Upfront Entity Classification Time Purpose Legal: Purpose Legal cuts 4,000 review hours and meets one-week deadline with Relativity aiR Cited source: www.relativity.com 85% reduction (4,000 hours) Review Time $70,000+ Cost Savings 95%+ Recall Arnold & Porter: Arnold & Porter achieves ~75% cost savings on privilege review with generative AI Cited source: www.arnoldporter.com ~75% savings vs. linear review Privilege Review Cost ~500,000 documents Document Dataset Size ~2 weeks attorney effort Up-Front Privilege Entity Classification Redgrave LLP: Generative AI Document Review Cuts Attorney Hours 98% While Improving Recall at Redgrave LLP Cited source: conventuslaw.com 98% (18 hrs vs. 1,123 hrs) Attorney Review Time Reduction 88% (vs. 64% for active learning) Recall Rate 1% (vs. 3% for active learning) Elusion Rate Reed Smith: Reed Smith saves $2.3 million and 11,300 hours by cutting AI-driven document review Cited source: www.casestudies.com $2.3 million Cost Savings 11,300 hours Attorney Hours Saved 500,000 documents Documents Excluded from Review Page One, Inc.: Page One completes deposition transcript review 70% faster using Relativity aiR for Case Strategy Cited source: www.lawnext.com 70% faster than manual Transcript Review Time Hours reduced to minutes Processing Speed per Transcript	Segments: Law Firms, Legal Technology & Services Use cases: E-Discovery & Document Review	Corpus published: Jul 27, 2026 Sources checked through: Jul 28, 2026 Per-source dates Arnold & Porter: source published May 13, 2026; link checked Jul 28, 2026 Purpose Legal: source published Not available in structured evidence; link checked Jul 28, 2026 Arnold & Porter: source published Apr 8, 2026; link checked Jul 28, 2026 Redgrave LLP: source published Jun 11, 2026; link checked Jul 28, 2026 Reed Smith: source published Not available in structured evidence; link checked Jul 28, 2026 Page One, Inc.: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Ironclad AI-powered contract lifecycle management platform	5 documented deployments View supporting evidence Orangetheory Fitness: Orangetheory Fitness cuts contract review time 80% with AI contract management Cited source: www.virtasant.com 80% improvement (30 min per document) Contract Review Time Nearly half the expected time Project Completion Time Hundreds of hours Legal Team Hours Saved NEXT Insurance: NEXT Insurance cuts termination-letter drafting time in half with Ironclad Jurist Cited source: ironcladapp.wpenginepowered.com 50% reduction Termination Letter Drafting Time 100% in a single week Jurist User Adoption 20 in one week Jurist Prompt Library Uses Calm: Calm cuts contract turnaround from 15 days to 5 and hits near-100% Ironclad adoption Cited source: ironcladapp.com 15 days to ~2–5 days Contract Turnaround Time Nearly 100% User Adoption Doubled without new FTEs Sales Growth Demostack: Demostack cuts NDA review time 90% and contracting time-to-close 80%+ with Ironclad CLM Cited source: ironcladapp.com 90% NDA Review Time Reduction 80%+ Contracting Time-to-Close Reduction 2 weeks Investor Due Diligence Duration Branch: Branch cuts NDA turnaround from 26 days to 2 minutes with Ironclad Clickwrap Cited source: ironcladapp.com Reduced from 26 days to 2 minutes NDA Turnaround Time 3,000+ NDAs Signed via Clickwrap	Segments: Corporate Legal & In-House Use cases: Contract Lifecycle Management, Contract Review & Analysis	Corpus published: Jul 27, 2026 Sources checked through: Jul 28, 2026 Per-source dates Orangetheory Fitness: source published Feb 12, 2026; link checked Jul 28, 2026 NEXT Insurance: source published Not available in structured evidence; link checked Jul 28, 2026 Calm: source published May 18, 2023; link checked Jul 28, 2026 Demostack: source published Not available in structured evidence; link checked Jul 28, 2026 Branch: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
DISCO Cloud-native e-discovery platform with AI-powered review and analytics	2 documented deployments View supporting evidence Tousley Brain Stephens PLLC: Tousley Brain Stephens PLLC cuts hosting costs 80% and speeds document review 40% with DISCO Ediscovery Cited source: www.casestudies.com 80% reduction Hosting/Case Costs 40% faster Document Review Speed 75% Irrelevant Data Removed Am Law Firm: Am Law 200 Firm Cuts Ediscovery Costs 53% and Completes 400K-Document Privilege Review in Six Weeks with DISCO Cited source: www.casestudies.com $373,000 (53% less than in-house) Total Engagement Cost 82% Review Time Savings 51% Document Review Volume Reduced by AI	Segments: Law Firms Use cases: E-Discovery & Document Review	Corpus published: Jul 27, 2026 Sources checked through: Jul 28, 2026 Per-source dates Tousley Brain Stephens PLLC: source published Not available in structured evidence; link checked Jul 28, 2026 Am Law Firm: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence
Robin AI AI-powered contract review and drafting platform	1 documented deployment View supporting evidence University of Cambridge Investment Management: University of Cambridge Investment Management cuts M&A due diligence time 85% with Robin AI Reports Cited source: legaltechnology.com 85% Contract Analysis Time Reduction 3 hours Task Duration (Before) 30 minutes Task Duration (After)	Segments: Corporate Legal & In-House Use cases: Due Diligence	Corpus published: Mar 23, 2026 Sources checked through: Jul 28, 2026 Per-source dates University of Cambridge Investment Management: source published Not available in structured evidence; link checked Jul 28, 2026	Integration: Not available in structured evidence Governance: Not available in structured evidence

How this comparison is built

Selection and ordering

Every published vendor remains discoverable.
Only explicit links to published case studies with cited source URLs count as deployment evidence.
Comparison order is evidence count, then vendor name; payment never moves it.
Filters use maintained segment and use-case fields only.

Fit and limitations

Fit: an evidence-led starting point for a Legal AI shortlist when named deployments and cited sources matter.

Poor fit: an exhaustive market map or an RFP requiring maintained integration, governance, price, or independently audited performance data.

Missing evidence remains unknown, not zero. Outcomes are reported by cited sources and may be vendor-published; a source-link check confirms reachability, not independent verification. Vendor type, integration, governance, and source publication dates are not complete enough to filter. Read the full methodology.