✍️Writing & Content21🎨Image Generation29🎬Video & Animation57🎡Audio & Music43πŸ’¬Chatbots & Assistants28πŸ’»Coding & Development133πŸ“ˆMarketing & SEO52⚑Productivity123🎯Design & UI/UX47πŸ“ŠData & Analytics29πŸ“šEducation & Research23πŸ’ΌBusiness & Finance46πŸ₯Healthcare & Wellness18πŸ”Search & Knowledge11πŸ€–AI Agent Infrastructure11πŸ›‘οΈAI Security & Testing🧊3D & Spatial12πŸ”ŽSEO Tools3🏑Real Estate4πŸ—ƒοΈData Extraction1🧠ADHD & Focus Tools9
βš–οΈ Updated April 2026

Best AI Tools for Lawyers in 2026

AI is transforming legal practice faster than any technology since word processing. From contract review to legal research, eDiscovery to demand letter automation β€” these 10 platforms are ranked by real-world impact on legal workflows.

βš–οΈ 10 platforms reviewedβ€’πŸ’° Pricing from $3/mo to $200+/user/moβ€’πŸ’ Solo to Am Law 200

⚠️ Ethical Note: AI tools should augment, not replace, legal judgment. Courts have sanctioned attorneys for filing AI-generated citations without verification. Always verify AI output before relying on it professionally. Maintain client confidentiality β€” use enterprise-grade tools with appropriate data handling agreements.

Quick Comparison: All 10 Legal AI Tools

ToolFirm SizePricingBest Use CaseGrounded ResearchSelf-Serve
Harvey AIEnterprise (Am Law 200)$100–200/user/moFull legal workflowYes (custom legal LLM)No
CoCounselMid–Large~$100/user/moLegal researchYes (Westlaw)Limited
SpellbookMid–Large$200–500/user/moContract draftingNoNo
Claude ProSolo–Small$20/moDocument analysisNoYes
Lexis+ AIMid–Large$75–200+/user/moLegal researchYes (Lexis)Limited
IroncladIn-house teams$50K+/yrContract lifecycleNoNo
EvenUpPI firms$500–1,500/demandDemand lettersNoNo
RelativityLitigation teams$18–30/GB/moeDiscoveryNoNo
DoNotPayConsumers$3/moSelf-help tasksNoYes
ChatGPT EnterpriseAny (150+ seats)$30/user/moDrafting/communicationNo (hallucination risk)Yes

How to Choose: By Firm Type

Solo / Small Firm

1–10 attorneys

Start with Claude Pro ($20/mo). Handles document analysis, drafting, and summarization. Add ChatGPT Enterprise when you hit 150+ seats.

Mid-Size Firm

10–100 attorneys

CoCounsel for litigation research. Spellbook for transactional work. Claude Pro for general document tasks. Budget: $200–500/user/mo.

Large / BigLaw

100+ attorneys

Harvey AI for enterprise-wide deployment. Relativity for eDiscovery. Add Lexis+ AI if on LexisNexis. Budget: $100–200+/user/mo.

In-House Legal

Corporate legal teams

Ironclad for contract lifecycle management. Claude Pro or ChatGPT Enterprise for everyday work. Relativity if you handle investigations.

Personal Injury

PI-focused firms

EvenUp is the clear winner β€” automates demand letters at scale, increases settlement values. Add Claude for everything else.

Consumer / Individual

Non-lawyers

DoNotPay ($3/mo) handles 100+ routine situations β€” fee disputes, ticket appeals, subscription cancellations. Not for complex matters.

Detailed Reviews: All 10 Legal AI Tools

#1

Harvey AI

General Legal AI

AI legal work platform built specifically for law firms and legal departments. Harvey uses a custom-trained LLM to handle contract analysis, legal research, due diligence, regulatory compliance, and document drafting at scale. Trusted by elite firms including Allen & Overy, PwC Legal, and A&O Shearman. Backed by OpenAI and Sequoia Capital.

4.5
/ 5.0

βš–οΈ Impact: Reduces legal research time by 60–80% and contract review by 40–60%

Pricing: Enterprise β€” typically $100–200/user/mo. Firm-level contract required.

Key Features

Custom legal LLM trained on legal dataContract review and analysisLegal research across jurisdictionsDue diligence at scaleRegulatory compliance mappingDocument drafting and editingMulti-language legal support

βœ… Strengths

  • β€’ Purpose-built legal AI β€” not a general chatbot with a legal skin
  • β€’ Trusted by top-tier global law firms (Allen & Overy, PwC Legal)
  • β€’ Understands legal nuance, jurisdiction specifics, and deal context
  • β€’ Reduces contract review time by 40–60% and research by 60–80%
  • β€’ Enterprise-grade security and confidentiality

⚠️ Limitations

  • β€’ Enterprise-only β€” no self-serve access for solo practitioners
  • β€’ Requires firm-level implementation and IT onboarding (weeks)
  • β€’ Pricing opaque until full sales process
  • β€’ Overkill for firms with low document volume

βœ… Best for

Am Law 200 firms and large legal departments doing high-volume transactional work, M&A due diligence, and regulatory compliance

❌ Not for

Solo practitioners, small firms under 10 attorneys, or practices needing consumer-grade pricing

#2

CoCounsel (Thomson Reuters)

Legal Research

AI legal research assistant built by Casetext (acquired by Thomson Reuters for $650M). CoCounsel uses frontier LLMs grounded in the authoritative Westlaw database to search case law, analyze contracts, review documents, and generate legal memos. The first AI legal research tool certified by a major legal publisher for accuracy.

4.4
/ 5.0

βš–οΈ Impact: Cuts legal research time by 50–70% with source-verified citations that reduce malpractice risk

Pricing: Included in Westlaw Precision plans. Standalone starts ~$100/user/mo.

Key Features

Case law research grounded in Westlaw databaseContract analysis and issue spottingDocument review with citation verificationLegal memo generationDeposition preparationTimeline creation from documentsCite-checking and verification

βœ… Strengths

  • β€’ Grounded in Thomson Reuters' legal database β€” reduces hallucination risk
  • β€’ Certified accuracy for legal research (peer-reviewed testing)
  • β€’ Cuts legal research time by 50–70%
  • β€’ Deep integration with Westlaw for comprehensive research
  • β€’ Trusted by tens of thousands of attorneys

⚠️ Limitations

  • β€’ Full power requires existing Westlaw subscription
  • β€’ Expensive for solo and small firm use
  • β€’ AI output still requires attorney verification before filing
  • β€’ Coverage strongest in US β€” international jurisdictions more limited

βœ… Best for

Litigation-heavy practices needing AI-powered case law research with authoritative source grounding

❌ Not for

Transactional practices with minimal research needs; anyone not already on Westlaw

#3

Spellbook

Contract Drafting

AI contract drafting assistant that lives inside Microsoft Word. Spellbook reviews contracts in real-time, suggests missing clauses, identifies risky provisions, and generates language based on deal context β€” trained on billions of data points from real legal agreements. Built for transactional lawyers who live in Word.

4.3
/ 5.0

βš–οΈ Impact: Reduces contract drafting time by 30–50% and catches 20% more missing provisions vs. unaided review

Pricing: Contact for pricing β€” typically $200–500/user/mo for law firms.

Key Features

Microsoft Word integration (works inside your existing workflow)Real-time clause suggestion engineMissing provision detectionContext-aware language generationPlaybook enforcementRisk flagging and red-line suggestions

βœ… Strengths

  • β€’ Zero workflow disruption β€” stays inside Word where lawyers already work
  • β€’ Trained on real legal agreements for domain-appropriate suggestions
  • β€’ Missing provision detection catches oversights before opposing counsel does
  • β€’ Clause suggestions dramatically accelerate drafting speed
  • β€’ Playbook features let firms enforce standard positions

⚠️ Limitations

  • β€’ Word-only β€” no Google Docs, web, or mobile version
  • β€’ Premium pricing limits solo practitioner access
  • β€’ Requires onboarding time to configure playbooks
  • β€’ Enterprise sales process β€” no self-serve trial

βœ… Best for

Transactional lawyers drafting and reviewing commercial contracts, M&A agreements, and NDAs daily

❌ Not for

Litigation-focused practices, solo practitioners, or anyone who doesn't work in Microsoft Word

#4

Claude Pro (Anthropic)

General-Purpose Legal AI

While not law-specific, Claude's 200K context window makes it the top general-purpose AI for legal document work. Lawyers use Claude to analyze entire contracts in a single prompt, summarize lengthy depositions, compare documents, draft correspondence, and research legal concepts β€” all at $20/mo. Claude's careful reasoning and lower hallucination rate compared to GPT-4o makes it a safer choice for document analysis.

4.5
/ 5.0

βš–οΈ Impact: Saves 10–15 hours/week on document review and drafting for solo practitioners and small firms

Pricing: Free tier (limited). Pro $20/mo. Team $25/user/mo. Enterprise custom with BAA available.

Key Features

200K context window β€” fits entire contracts and depositionsLow hallucination rate for AI-assisted analysisLong document comparison (upload multiple files)Strong privacy commitments (no training on your data on Pro+)Multi-document summarizationDrafting and editing assistanceBAA available on Enterprise for HIPAA/attorney-client privilege

βœ… Strengths

  • β€’ 200K context fits entire contracts, depositions, and lengthy filings
  • β€’ Best price-to-capability for solo and small firm attorneys ($20/mo)
  • β€’ More careful reasoning with lower hallucination risk vs. GPT-4
  • β€’ Strong privacy β€” conversations not used for training on paid tiers
  • β€’ Handles sensitive legal documents without specialized setup

⚠️ Limitations

  • β€’ Not trained specifically on legal databases or case law
  • β€’ No Westlaw or LexisNexis integration β€” can't do grounded legal research
  • β€’ Requires careful prompting to get legal-grade output
  • β€’ Cannot replace dedicated legal research tools for citation-dependent work

βœ… Best for

Solo practitioners and small firms (under 10 attorneys) wanting powerful document AI without specialized legal tool pricing

❌ Not for

Firms that need verified legal citations, case law research, or enterprise compliance features

#5

Lexis+ AI (LexisNexis)

Legal Research

LexisNexis's AI legal assistant powered by large language models grounded in the comprehensive Lexis legal database. Provides conversational legal research, document summarization, and drafting β€” with every answer tied to authoritative sources. Part of the Lexis+ subscription, making it the natural choice for existing LexisNexis customers.

4.2
/ 5.0

βš–οΈ Impact: Reduces research time by 40–60% with verifiable, source-cited answers that hold up to attorney scrutiny

Pricing: Included in Lexis+ subscriptions. Plans from $75–200+/user/mo.

Key Features

Conversational legal research in plain EnglishGrounded answers with source citations from Lexis databaseCitation verification and ShepardizingDocument summarization and brief analysisPractice-area specialization modulesContract review and issue spottingGlobal coverage across 160+ countries

βœ… Strengths

  • β€’ Grounded in authoritative Lexis legal database β€” citations are real
  • β€’ AI hallucination risk dramatically reduced by source verification
  • β€’ Deep practice area knowledge built in
  • β€’ No extra cost if already on Lexis+ subscription
  • β€’ International coverage for global practices

⚠️ Limitations

  • β€’ Requires existing LexisNexis subscription
  • β€’ Expensive for small practices starting fresh
  • β€’ AI features still expanding β€” not all Lexis tools are AI-enhanced yet
  • β€’ Interface less intuitive than standalone AI tools

βœ… Best for

Firms already on LexisNexis wanting to add AI-powered research without a separate tool subscription

❌ Not for

Firms not already on LexisNexis β€” CoCounsel is a better entry point if you're evaluating fresh

#6

Ironclad

Contract Lifecycle Management

AI-powered contract lifecycle management (CLM) platform that automates the entire contract process β€” from creation and negotiation to execution and obligation tracking. Ironclad's AI assists with playbook-guided negotiation, intelligent clause extraction, contract analytics, and integration with your existing tech stack (Salesforce, Slack, DocuSign).

4.3
/ 5.0

βš–οΈ Impact: Reduces contract turnaround time by 50% and errors by 30% for in-house legal teams

Pricing: Custom pricing. Enterprise typically starts around $50K/year for teams.

Key Features

End-to-end contract lifecycle managementAI-assisted negotiation with playbook enforcementClause extraction and obligation trackingContract analytics and portfolio dashboardsSalesforce, Slack, and DocuSign integrationsE-signature nativeCounterparty negotiation portal

βœ… Strengths

  • β€’ Manages the entire contract lifecycle in one platform
  • β€’ Playbook-guided negotiation reduces risk and enforces standard positions
  • β€’ Strong analytics reveal contract portfolio trends and obligations
  • β€’ Deep integrations with enterprise tech stack
  • β€’ Reduces contract turnaround time by 50%

⚠️ Limitations

  • β€’ Enterprise pricing β€” prohibitive for small firms
  • β€’ Complex implementation (typically 2–12 weeks onboarding)
  • β€’ Requires organizational buy-in and change management
  • β€’ Overkill for practices with low contract volume

βœ… Best for

In-house legal teams at companies processing 500+ contracts/year who need end-to-end CLM with analytics

❌ Not for

Law firms (better suited for in-house teams), small practices, or anyone needing quick deployment

#7

EvenUp

Personal Injury

AI platform purpose-built for personal injury attorneys that automates demand letter generation. EvenUp analyzes medical records, treatment histories, and case details to generate comprehensive, fully-cited demand packages β€” work that used to take paralegals 8–20 hours per case. EvenUp's demand packages are structured to maximize settlement value.

4.3
/ 5.0

βš–οΈ Impact: Increases demand letter output by 5x while raising average settlement values 10–30%

Pricing: Per-demand pricing β€” typically $500–1,500 per demand package.

Key Features

Medical record analysis and chronologyAutomated demand letter generationTreatment timeline creationDamages calculation and supportCase valuation benchmarkingSupporting document assemblyAttorney review workflow

βœ… Strengths

  • β€’ Saves 10–20 hours per demand letter vs. paralegal production
  • β€’ Consistent, comprehensive quality across all demands
  • β€’ Medical record analysis catches damages that human review misses
  • β€’ Proven to increase settlement values by 10–30%
  • β€’ Frees attorneys to focus on case strategy

⚠️ Limitations

  • β€’ Only useful for personal injury β€” no value for other practice areas
  • β€’ Per-demand pricing adds up at volume (can exceed in-house paralegal cost)
  • β€’ AI demand recommendations require attorney review before sending
  • β€’ Currently limited to US jurisdictions

βœ… Best for

Personal injury law firms wanting to scale demand letter production without adding paralegals

❌ Not for

Any practice area other than personal injury; practices with low case volume

#8

Relativity (RelativityOne)

eDiscovery

Industry-standard AI-powered eDiscovery platform for document review in litigation and investigations. Relativity's Active Learning AI continuously learns from reviewer decisions to prioritize the most relevant documents, dramatically reducing the volume humans need to review. Handles massive data volumes β€” millions of documents β€” for large-scale litigation.

4.4
/ 5.0

βš–οΈ Impact: Reduces document review costs by 50–80% while improving consistency and accuracy vs. linear review

Pricing: Usage-based β€” typically $18–30/GB/mo. Enterprise contracts available for predictable pricing.

Key Features

AI-assisted document review with active learningPredictive coding (technology-assisted review)Concept clustering and near-duplicate detectionPrivilege detectionProduction automationAnalytics and review dashboardsCloud-native RelativityOne deployment

βœ… Strengths

  • β€’ Industry standard β€” most litigation support firms know it
  • β€’ AI reduces document review volume by 50–90%
  • β€’ Active learning improves accuracy continuously over review
  • β€’ Handles millions of documents at massive scale
  • β€’ RelativityOne is cloud-native with easy provisioning

⚠️ Limitations

  • β€’ Complex setup and workspace administration
  • β€’ Expensive for large data volumes β€” costs compound fast
  • β€’ Requires trained review teams or litigation support vendors
  • β€’ Significant learning curve for AI features

βœ… Best for

Litigation teams and eDiscovery vendors handling document-intensive cases, investigations, and regulatory matters

❌ Not for

Transactional practices, small cases with limited document volume, or anyone without litigation support staff

#9

DoNotPay

Consumer Legal Self-Help

AI-powered consumer legal service that helps individuals fight fees, cancel subscriptions, dispute charges, appeal parking tickets, and handle routine legal matters without a lawyer. Automates legal letters and appeals for hundreds of common situations. Best known as 'the world's first robot lawyer' β€” though that branding has faced legal scrutiny.

3.9
/ 5.0

βš–οΈ Impact: Saves consumers $500–2,000/year in disputed fees and unwanted subscription charges

Pricing: $36/year ($3/mo) for unlimited access to all services.

Key Features

Auto-generated legal letters for 100+ situationsParking and traffic ticket appealsSubscription cancellation automationBill and fee negotiationCredit card charge disputesSmall claims court filing assistanceRobocall blocking

βœ… Strengths

  • β€’ Extraordinarily affordable β€” $3/month for routine legal help
  • β€’ Genuinely effective for fighting fees, canceling subscriptions, and disputes
  • β€’ Democratizes access to legal recourse for everyday consumers
  • β€’ No legal knowledge required β€” guided flows for each situation

⚠️ Limitations

  • β€’ Limited to simple, routine legal matters only
  • β€’ Faced legal controversy for overpromising capabilities
  • β€’ Cannot replace attorney advice for anything complex
  • β€’ Success rates vary significantly by jurisdiction and situation

βœ… Best for

Consumers wanting to dispute charges, fight parking tickets, cancel unwanted subscriptions, and handle everyday legal tasks without hiring a lawyer

❌ Not for

Any complex legal matter, criminal issues, family law, employment disputes, or situations requiring attorney judgment

#10

ChatGPT Enterprise (OpenAI)

General-Purpose Legal AI

OpenAI's ChatGPT has become a daily tool for many attorneys β€” used for drafting correspondence, summarizing documents, explaining legal concepts to clients, brainstorming arguments, and initial research. ChatGPT Enterprise adds zero data retention, SAML SSO, custom GPTs, and admin controls that meet law firm security requirements. Custom GPTs allow firms to create specialized legal assistants with internal templates and precedents.

4.3
/ 5.0

βš–οΈ Impact: Saves 5–10 hours/week on drafting, client communication, and routine document tasks

Pricing: Plus $20/mo. Team $25/user/mo. Enterprise $30/user/mo (min 150 seats, zero data retention).

Key Features

Versatile legal drafting and editingDocument summarizationLegal concept explanation for clientsCustom GPTs for firm-specific legal templatesResearch assistance (non-citation tasks)Multi-language support (90+ languages)Enterprise: zero data retention, SAML SSO, admin controls

βœ… Strengths

  • β€’ Most versatile and accessible AI for everyday legal tasks
  • β€’ Custom GPTs create firm-specific legal assistants with your precedents
  • β€’ Enterprise tier meets most law firm data security requirements
  • β€’ Wide ecosystem of integrations via the GPT store

⚠️ Limitations

  • β€’ Critical hallucination risk for legal citations β€” multiple attorneys have been sanctioned
  • β€’ Not trained on legal databases β€” cannot verify case law
  • β€’ Enterprise requires 150+ seat minimum
  • β€’ Requires careful verification of every research output before relying on it

βœ… Best for

Lawyers wanting a general-purpose AI assistant for drafting, client communication, and non-research tasks

❌ Not for

Case law research, citation-dependent tasks, or any work where hallucinated sources would create malpractice risk

Legal AI Market Trends: 2026

AI Associates Replacing Junior Lawyers

Law firms are reducing associate headcount as AI handles document review, research, and drafting that previously required 1st–3rd year associates. BigLaw firms report reducing associate hiring by 20–30% in transactional practices. The billable hour model is under pressure as AI completes in minutes what used to take hours.

Citation Hallucination: Still the #1 Risk

Multiple attorneys were sanctioned in 2023–2025 for filing AI-generated fake citations. The risk hasn't gone away β€” it's just better managed with purpose-built legal AI (CoCounsel, Lexis+ AI) that grounds answers in authoritative databases. General chatbots remain dangerous for research tasks.

Bar Rules Catching Up to AI

Most state bars now have formal guidance on AI use. Key requirements include competency obligations (understanding AI limitations), confidentiality obligations (using secure enterprise tools), supervision obligations (reviewing all AI output), and in some jurisdictions, client disclosure obligations for AI use.

Legal AI Consolidation Accelerating

Thomson Reuters acquired Casetext ($650M). LexisNexis acquired Lexis+ AI capabilities. Harvey AI and Ironclad are raising at $1B+ valuations. The market is consolidating around a handful of enterprise platforms β€” expect further M&A as Big Legal Tech absorbs AI-first startups.

Frequently Asked Questions

What are the best AI tools for lawyers in 2026?

The best AI tools for lawyers in 2026 are: Harvey AI (best for large law firms doing complex corporate work), CoCounsel by Thomson Reuters (best for AI-powered legal research), Spellbook (best for contract drafting in Microsoft Word), Claude Pro (best affordable option for solo and small firms), Lexis+ AI (best if you're already on LexisNexis), Ironclad (best for in-house contract lifecycle management), EvenUp (best for personal injury demand letters), Relativity (best for eDiscovery), DoNotPay (best for consumer legal self-help), and ChatGPT Enterprise (most versatile general-purpose option). The right choice depends heavily on practice area, firm size, and budget.

Is AI safe to use in legal practice?

AI is safe when used as an augmentation tool under attorney supervision. Critical safety rules: (1) Always verify AI-generated citations β€” courts have sanctioned lawyers for filing hallucinated cases; (2) Use purpose-built legal AI (Harvey, CoCounsel) over general chatbots for research tasks; (3) Never submit AI output without attorney review; (4) Maintain client confidentiality using tools with proper BAAs and data handling agreements; (5) Disclose AI use where required by bar rules. The ABA and most state bars now have guidance on ethical AI use in practice.

How much do legal AI tools cost?

Legal AI costs range from $20/mo to $200+/user/mo. General-purpose AI (Claude Pro, ChatGPT Plus) runs $20/mo and handles most everyday legal tasks. Mid-tier specialized tools like Spellbook run $200–500/user/mo. Enterprise platforms like Harvey AI cost $100–200/user/mo (enterprise contract). LexisNexis and Westlaw AI are included in subscription plans starting around $75–200/user/mo. For solo practitioners, Claude at $20/mo provides the best value. For firms with high contract volume, Harvey or CoCounsel ROI typically justifies the premium within months.

Can AI replace lawyers?

No β€” AI cannot replace lawyers, but it is replacing much of the billable work that junior associates and paralegals used to do. AI excels at document review, legal research, contract drafting templates, and routine correspondence. It cannot replace lawyer judgment, strategic advice, court appearances, client relationships, or complex negotiation. The practical effect is that a senior associate with AI tools can now do the work of 3–5 junior associates. Law firms that adopt AI will operate leaner; those that don't will be underpriced.

What is Harvey AI and is it worth it?

Harvey AI is an enterprise legal AI platform trained specifically on legal data, used by Am Law 200 firms including Allen & Overy, PwC Legal, and A&O Shearman. It handles contract analysis, legal research, due diligence, regulatory compliance, and document drafting. Pricing is enterprise ($100–200/user/mo) and requires a firm-level contract. It's worth it for large firms doing complex transactional work where it demonstrably cuts research time by 60–80%. For solo practitioners or small firms, the price and enterprise-only access make it inaccessible β€” Claude or ChatGPT Enterprise is the better starting point.

What's the difference between Harvey AI and CoCounsel?

Harvey AI and CoCounsel are both enterprise legal AI platforms but with different strengths. Harvey is a standalone platform with a custom LLM trained on legal data β€” best for transactional work, contract analysis, and regulatory compliance at large law firms. CoCounsel (by Thomson Reuters/Casetext) is deeply integrated with Westlaw and excels at case law research, litigation support, and document review. If your practice is litigation-heavy, CoCounsel's Westlaw grounding reduces hallucination risk. If your practice is transactional, Harvey's custom legal model handles the full document lifecycle better. Many large firms use both.

Which AI tool is best for contract review?

For contract review, the best AI tools by use case are: Spellbook (best for in-Word drafting and clause suggestions during negotiation), Harvey AI (best for large-scale due diligence across hundreds of contracts), Ironclad (best for in-house teams managing contract lifecycle end-to-end), Claude Pro (best affordable option for reviewing individual contracts with a 200K context window that fits entire agreements), and Kira Systems (best for M&A due diligence with machine learning-based clause extraction). For a solo or small firm attorney reviewing one contract at a time, Claude at $20/mo handles it well. For a firm processing hundreds monthly, Harvey or Ironclad ROI is compelling.

Is ChatGPT good for legal work?

ChatGPT is useful for legal work but carries significant risks when used for research. It's excellent for drafting emails, summarizing documents, explaining legal concepts, brainstorming arguments, and client communication. It's dangerous for case law research β€” ChatGPT has a documented hallucination problem with legal citations; multiple attorneys have been sanctioned for filing AI-generated fake cases. For research, use CoCounsel, Lexis+ AI, or Westlaw AI instead. ChatGPT Enterprise ($30/user/mo) adds zero data retention and custom GPTs for firm-specific legal templates, making it a reasonable general-purpose assistant. For research, always use a grounded legal research tool.

Related Guides