How to Use Harvey: Legal Research & Drafting (2026)

เริ่มต้นใช้งานอย่างรวดเร็ว

This guide covers every Harvey feature and shows you how to use Harvey from your first sign in to advanced legal workflows:

• เริ่มต้นใช้งาน — สร้างบัญชีและตั้งค่าพื้นฐานของคุณ
• วิธีใช้งานผู้ช่วย AI — Ask legal queries and get cited answers
• How to Use Supercharged Legal Research — Run legal research across trusted sources
• วิธีใช้งานระบบอัตโนมัติเวิร์กโฟลว์ — Build custom workflows for repeat matters
• How to Use Governance Controls — Manage security, privacy, and compliance
• วิธีใช้งานการผสานรวมระบบ — Connect Microsoft Word, Outlook, and Vault
• How to Use Pre-Built Workflows — Apply ready-made playbooks in one click
• How to Use Vault — Store vast amounts of documents in Vault
• How to Use Legal Research Module — Search case law and statutes at speed
• How to Use Enterprise-Grade Protection — Protect client data with enterprise security

ระยะเวลาที่ใช้: แต่ละฟีเจอร์ใช้เวลา 5 นาที

นอกจากนี้ในคู่มือนี้ยังมี: เคล็ดลับสำหรับมืออาชีพ | ข้อผิดพลาดที่พบบ่อย | การแก้ไขปัญหา | ความละเอียด | ตัวเลือกต่าง ๆ

เหตุใดจึงควรเชื่อถือคู่มือนี้

I have used Harvey directly for over a year across real client matters in legal and professional services. This Harvey guide comes from hands-on practice, not vendor screenshots or marketing notes.

Along the way I tested every feature on live work, made plenty of mistakes, and learned what actually saves time. Those lessons shape every step in this guide.

Harvey is one of the most capable เครื่องมือ AI built for legal teams and professional services firms today.

But most legal professionals only scratch the surface of what the platform can do.

This guide shows you how to use every major feature at your own pace.

Step by step, with screenshots, videos, and pro tips for law firms of any size.

Harvey Tutorial

This complete Harvey tutorial walks you through every feature step by step, from your first setup to advanced practices that turn you into a power user across legal documents and legal research.

You do not need to read it in order. Jump to the feature you need, or work through each section at your own pace.

Every step uses plain language, so a new associate and a senior partner can both follow along with ease.

Getting Started with Harvey

ก่อนใช้งานฟีเจอร์ใดๆ โปรดทำการตั้งค่าครั้งแรกนี้ให้เสร็จสมบูรณ์

ใช้เวลาประมาณ 3 นาที

โปรดชมภาพรวมโดยย่อนี้ก่อน:

Now let’s walk through each step so you learn the basics fast.

Step 1: Request Access and Sign In

Go to Harvey’s website and request access for your firm or team.

Harvey is sold to legal teams, so you sign in through a verified workspace rather than a public free trial.

A member of the Harvey team usually confirms your firm before granting access, which keeps the platform secure.

✓ ด่าน: ตรวจสอบของคุณ จดหมายเข้า for a confirmation email and your workspace invite.

Step 2: Open Your Workspace

Log in with your new account and open the main workspace.

This is the home page where you upload documents, run research, and start any workflow.

Take a minute to explore the layout, since knowing where each tool lives saves time on your first real matter.

✓ ด่าน: คุณควรดู ผู้ช่วย search bar and your document library.

Step 3: Connect Your Sources and Tools

Connect Microsoft Word, Outlook, and your document management system so Harvey can pull context from real files.

Harvey connects with iManage and Vault, which keeps your knowledge and history in one place.

Connecting these sources แต่แรก means your first queries draw on real documents instead of a blank workspace.

How to Use Harvey AI Assistant

ผู้ช่วย AI lets you ask legal questions and get cited answers pulled from your own documents and trusted sources.

The Assistant is the heart of Harvey for most legal teams. It reads the documents you upload, pulls context from connected sources, and returns answers with citations you can check. Because it is trained on legal language, it understands contracts, complaints, and case law better than a general chatbot. That expertise is what makes it safe to use on real client matters.

Picture a junior associate facing a 90-page agreement at 6 p.m. With the Assistant, they upload the file, ask for the key obligations, and get a cited summary in minutes. That same task once took hours, and the time saved goes straight back into higher-value analysis.

นี่คือวิธีการใช้งานทีละขั้นตอน

ชมการทำงานของ AI Assistant ได้ที่นี่:

ทีนี้เรามาอธิบายแต่ละขั้นตอนกัน

ขั้นตอนที่ 1: เปิดตัวช่วย (Assistant)

Open the Assistant from your workspace home page and start a new chat.

Type a clear prompt that describes the matter, the client, and the คำถาม you need answered.

Step 2: Add Context and Documents

Upload contracts, complaints, or notes so the Assistant can analyze the real ข้อความ.

นี่คือหน้าตาของมัน:

✓ ด่าน: The Assistant pulls context from connected sources, then drafts answers with citations you can verify.

Step 3: Review and Export the Response

Read the cited responses, check the sources, and refine your prompts as needed.

Export the answer to Microsoft Word or paste it directly into your draft.

For legal teams, this turns a blank page into a cited first draft in minutes, which is why the Assistant is where most users start.

How to Use Harvey Supercharged Legal Research

การวิจัยทางกฎหมายขั้นสูง lets you run legal research across case law, statutes, and articles without leaving the platform.

Legal research used to mean hours in a paid library checking one query at a time. Harvey changes that pace. You describe the matter in plain language, pick your trusted sources, and the platform returns grounded analysis with citations. This boosts efficiency for legal professionals who bill by the hour and need answers they can defend.

Trusted sources are what separate a real legal research tool from a generic chatbot. Harvey lets you steer each query toward the case law, statutes, and articles that matter, so the answers you build on are grounded rather than invented.

นี่คือวิธีการใช้งานทีละขั้นตอน

Step 1: Start a Research Query

Open legal research and type a plain-language query about your matter.

Describe the jurisdiction, the governing law, and the practices you want Harvey to check.

Step 2: Choose Trusted Sources

Pick the sources Harvey should search, including case law, statutes, and articles.

นี่คือหน้าตาของมัน:

✓ ด่าน: Harvey researches legal queries against trusted sources so your answers stay grounded in real law.

Step 3: Save Citations to Your Library

Save the citations and answers into your library for the matter.

Keep the research history so your team can reuse the analysis later.

Used well, legal research in Harvey gives smaller firms the same depth of analysis that once belonged only to large law firms with big libraries.

How to Use Harvey Workflow Automation

ขั้นตอนการทำงาน อัตโนมัติ lets you automate repeat legal processes so your team saves hours on routine matters.

Every firm repeats the same legal processes again and again. Diligence, intake, and clause review all follow a pattern. Harvey lets you build custom workflows that capture that pattern once, then run it on demand. The result is real efficiency gains, since your team stops rebuilding the same analysis for every new matter.

เดอะ ผู้สร้าง is visual, so you do not need to write code to build custom workflows. You arrange prompts, inputs, and review tables like building blocks, then test the flow on sample files before your team relies on it for live matters.

นี่คือวิธีการใช้งานทีละขั้นตอน

Step 1: Pick a Process to Automate

Choose a repeat legal process, such as a diligence review or a contract check.

Map the steps your team takes today so Harvey can mirror your real practices.

Step 2: Build Custom Workflows

Use the builder to build custom workflows tailored to your firm’s matters.

นี่คือหน้าตาของมัน:

✓ ด่าน: Add prompts, document inputs, and review tables so the workflow generates consistent output every run.

Step 3: Test Before You Deploy

Run end-to-end testing on sanitized agreements before you deploy to the whole team.

Human oversight stays essential, so verify each output before it reaches a client.

Over time, a library of tested workflows becomes one of your firm’s most valuable assets, capturing expertise so it survives staff changes.

How to Use Harvey Governance Controls

Governance Controls lets you manage security, privacy, and compliance settings across your whole workspace.

Governance is where many AI tools fall short, but Harvey treats it as essential. You control who can access which matters, how data is handled, and what the ตรวจสอบ history records. For law firms and in-house teams, this is the difference between a fun experiment and a tool you can actually trust with client data.

Audit logs may sound dull, but they are gold during a security review. When leadership or a client asks who accessed what, you have a clear record of every request, which keeps your firm transparent and compliant.

นี่คือวิธีการใช้งานทีละขั้นตอน

Step 1: Open the Admin Settings

Open admin settings to manage access, data, and compliance for your workspace.

Assign roles so legal professionals only see the matters they should.

Step 2: Set Access and Privacy Rules

Turn on SAML SSO, audit logs, and IP allow-listing for tighter security.

นี่คือหน้าตาของมัน:

✓ ด่าน: Harvey does not use client data for model training, which protects privacy across your firm.

Step 3: Review the Audit History

Check audit logs to see who used Harvey, what they asked, and when.

This history gives in-house and สำนักงานกฎหมาย teams a clear compliance record.

Strong governance is what lets leadership roll Harvey out across the whole firm with confidence instead of limiting it to a small pilot group.

How to Use Harvey Integrations

การผสานรวม lets you connect Harvey with Microsoft Word, Outlook, and document systems you already use.

Most legal work already lives in Microsoft Word, Outlook, and a document management system. Harvey meets your team there instead of forcing a new home for everything. You draft in Word, send email in Outlook, and pull files from iManage or Vault, all while Harvey keeps the legal context intact across each tool.

Switching tools all day breaks concentration and loses context. By living inside Word, Outlook, and your document system, Harvey keeps you in flow, so drafting an email or a contract feels like a natural part of the work, not a detour.

นี่คือวิธีการใช้งานทีละขั้นตอน

ขั้นตอนที่ 1: เปิดเมนูการผสานรวม

Open the integrations menu to connect the tools your team already uses.

Harvey connects with Microsoft Word, Outlook, iManage, and Vault.

Step 2: Draft Inside Word and Outlook

Draft documents in Microsoft Word and draft emails in Outlook using Harvey directly.

นี่คือหน้าตาของมัน:

✓ ด่าน: You get instant summaries and email drafting without switching tabs or losing context.

Step 3: Export Results for Analysis

Export review results to Excel so your team can run deeper analysis.

This keeps your data flowing between Harvey and the apps you trust.

Because the integrations keep context intact, your team gains efficiency without giving up the tools and practices they already know.

How to Use Harvey Pre-Built Workflows

Pre-Built Workflows lets you apply ready-made playbooks that analyze clauses against legal standards in one click.

Pre-built workflows give newer users a head start. Instead of writing prompts from scratch, you pick a playbook that already knows how to analyze clauses against legal standards. This lowers the learning curve so even users new to legal AI can produce useful analysis on day one while they learn the platform.

Each playbook encodes the judgment of experienced lawyers into a repeatable process. When you run one, you borrow that expertise, which is why even a small team can produce review-grade analysis that once required a much larger group.

นี่คือวิธีการใช้งานทีละขั้นตอน

Step 1: Browse the Workflow Library

Open the library of pre-built workflows made for common legal matters.

Each playbook automates clause analysis against legal standards so you start fast.

Step 2: Run a Playbook on Your Files

Upload your contracts and run the chosen playbook against them.

นี่คือหน้าตาของมัน:

✓ ด่าน: Harvey flags risky clauses, missing terms, and governing law issues for review.

Step 3: Refine and Save Your Version

Edit the playbook prompts to match your firm’s practices.

Save your version so the whole team can reuse it on future matters.

Pre-built workflows are also a great way for new users to learn how Harvey thinks before they build custom workflows of their own.

How to Use Harvey Vault

ห้องนิรภัย lets you store vast amounts of legal documents in a single searchable workspace.

Vault is where Harvey stores institutional knowledge. Drop in every document for a matter and the whole set becomes searchable in seconds. For litigation and diligence, where you face vast amounts of files, Vault turns a slow manual hunt into a fast, cited search across your entire library.

Search inside Vault is fast because every page is indexed as you upload. Ask a question about a clause buried on page 200 of a contract set, and Harvey points you to the exact spot, with the surrounding context attached.

นี่คือวิธีการใช้งานทีละขั้นตอน

Step 1: Create a New Vault

Create a Vault to centralize documents and research into one searchable workspace.

Vault can store vast amounts of files for a single matter or client.

Step 2: Upload and Organize Files

Upload contracts, complaints, and notes, then organize them by matter.

นี่คือหน้าตาของมัน:

✓ ด่าน: Search across the whole Vault to find any page or clause in seconds.

Step 3: Run Review Tables Across Documents

Use Review Tables to extract answers from many documents at once.

Export the review tables to Excel so you can sort and analyze the results.

With everything in one workspace, your team spends less time searching and more time on the analysis that actually moves a matter forward.

How to Use Harvey Legal Research Module

Legal Research Module lets you search trusted legal sources like EDGAR and LexisNexis directly inside Harvey.

The legal research module connects Harvey to the sources legal professionals already trust. You can pull filings from EDGAR, cross-check answers against LexisNexis, and keep a clean research history for each matter. This grounding is what keeps Harvey’s answers tied to real law rather than guesswork.

Keeping a clean research history pays off across a long matter. Months later, you can revisit exactly which sources supported a position, which protects your analysis if a colleague or a court questions how you got there.

นี่คือวิธีการใช้งานทีละขั้นตอน

Step 1: Open the Research Module

Open the legal research module to query trusted legal sources directly.

Harvey connects to sources like EDGAR and LexisNexis for grounded answers.

Step 2: Ask a Legal Question

Type your legal question and describe the matter you are working on.

นี่คือหน้าตาของมัน:

✓ ด่าน: The module returns cited answers drawn from real case law and filings.

Step 3: Save Sources to Your History

Save the sources and citations into your research history.

Your team can revisit the analysis and reuse it across related matters.

Grounding answers in trusted sources is what gives legal professionals the confidence to rely on Harvey for client-facing work.

How to Use Harvey Enterprise-Grade Protection

Enterprise-Grade Protection lets you protect client data with enterprise-grade controls built for law firms.

Security is not a feature you bolt on later in legal work. Harvey is built so encryption, access controls, and audit logs come standard. The platform does not use client data for model training, which protects privacy and lets your firm meet strict compliance requirements without slowing your team down.

Security settings are worth a careful walk-through with your IT team before launch. Confirm encryption, SSO, and access rules match your firm’s policy, and you turn Harvey from a promising tool into one you can deploy with full confidence.

นี่คือวิธีการใช้งานทีละขั้นตอน

ขั้นตอนที่ 1: ตรวจสอบการตั้งค่าความปลอดภัยของคุณ

Open security settings to confirm encryption and access controls are on.

Harvey meets enterprise-grade security and compliance standards for legal teams.

Step 2: Manage Data Lifecycle

Set data lifecycle rules so files are retained or deleted on schedule.

นี่คือหน้าตาของมัน:

✓ ด่าน: Access is managed per user, and data in Harvey stays encrypted at rest and in transit.

Step 3: Confirm Compliance Coverage

Check that SSO, audit logs, and IP allow-listing match your firm’s policy.

This protects client data and keeps your firm audit-ready.

This is why firms with strict privacy duties can adopt Harvey, knowing client data and matters stay protected at every step.

Who Should Use Harvey?

Harvey is built for legal and professional services teams that handle real client matters at scale.

If your work touches contracts, litigation, or legal research every week, the platform earns its place fast.

Large law firms use Harvey to draft, review, and analyze documents across hundreds of matters at once.

In-house legal teams use it to answer ธุรกิจ questions quickly without sending every query to outside counsel.

Boutique firms use it to punch above their size, since one lawyer with Harvey can review vast amounts of documents in a day.

Professional services firms beyond law also use Harvey for compliance work, due diligence, and contract analysis.

The common thread is that every user needs cited answers, strong security, and real legal expertise baked into the tool.

If you only need a casual writing assistant, a general เครื่องมือ AI may be enough.

But if accuracy, privacy, and legal context matter, Harvey is built for exactly that kind of serious work.

It also suits teams that handle vast amounts of documents and cannot afford to miss a key clause or citation.

And it fits firms that care about security, since client data stays encrypted and is never used for training.

How Harvey Fits Into Your Legal Workflows

The best way to learn Harvey is to map it onto the legal workflows your team already runs.

Start with intake, where you upload a new client’s documents into Vault for a fresh matter.

Next comes research, where the Assistant and the legal research module answer your queries with citations.

Then comes drafting, where Harvey works inside Microsoft Word to create contracts, memos, and letters.

Review is where review tables shine, pulling answers from many documents so you can analyze them side by side.

Email follows, where you draft client updates in Outlook using Harvey directly without leaving your inbox.

Finally, governance runs underneath all of it, recording history and protecting client data at every step.

Seen this way, Harvey is not one feature but a thread that runs through your whole practice.

Each step builds on the last, so your knowledge and analysis stay connected from intake to final filing.

That continuity is what drives the real efficiency gains legal teams notice after a few weeks of steady use.

Best Practices for Using Harvey Safely

Harvey is powerful, but safe legal work still depends on good habits from every user.

First, always give the platform context, since documentation and context are crucial for effective AI usage in law.

Upload the real contracts, complaints, and notes so the Assistant can analyze the actual text, not a guess.

Second, keep human oversight in the loop, because verifying AI-generated outputs is critical before anything reaches a client.

Read every citation, confirm the governing law, and check the analysis against your own legal expertise.

Third, protect client data by using sanitized agreements when you test or train new workflows.

Run end-to-end testing before you deploy any workflow to the wider team, so surprises surface early.

Fourth, build a shared prompt library so your team can learn from each other and keep answers consistent.

Fifth, use the support hub, watch the videos, and read the articles to learn Harvey at your own pace.

These practices keep efficiency high while keeping compliance, privacy, and security firmly in place.

Sixth, treat Harvey as a partner, not a replacement, since your legal expertise is what verifies its work.

The platform speeds up research and drafting, but you still own the final judgment on every client matter.

Followed together, these habits let your team move faster without การซื้อขาย away the care good legal work demands.

Harvey for In-House Teams vs Law Firms

Harvey serves both in-house legal teams and outside law firms, but each group uses it a little differently.

In-house teams focus on speed and business context, since they answer the company’s own questions daily.

They use the Assistant to triage requests, draft routine contracts, and decide which matters need outside counsel.

For them, the value is efficiency, since a small in-house team can handle far more work with the platform’s help.

Law firms focus on depth, billing, and client-ready output across many different clients at once.

They lean on legal research, review tables, and custom workflows to handle complex litigation and diligence.

For firms, the value is expertise at scale, since associates produce better first drafts in less time.

Both groups share the same need for security, citations, and a clear audit history of every request.

Whatever your house, the core practices stay the same: give context, verify outputs, and protect client data.

Many firms run a hybrid model too, where in-house teams handle routine work in Harvey and send complex matters to outside firms that also use it. Shared tooling makes that handoff smoother, since both sides speak the same language and trust the same cited sources.

Harvey Use Cases by Practice Area

Harvey adapts to almost any practice area, since legal research and drafting cut across every field of law.

In litigation, teams upload complaints and exhibits to Vault, then use review tables to find key facts fast.

The Assistant can summarize a deposition, surface contradictions, and draft a motion outline with cited sources.

In transactional work, lawyers run diligence on stacks of contracts and flag risky clauses against legal standards.

Harvey checks governing law, indemnities, and termination terms, then drafts a clean issues list for the client.

In corporate and securities work, the legal research module pulls filings from EDGAR for quick context.

Teams cross-check those filings against LexisNexis so their analysis stays grounded in current law.

In compliance and privacy, in-house teams use Harvey to answer policy queries and draft internal guidance.

In employment law, lawyers analyze handbooks and contracts, then generate plain-language answers for managers.

ใน อสังหาริมทรัพย์, teams review leases at speed and export the results to Excel for deeper analysis.

Whatever the practice area, the pattern repeats: upload documents, ask clear queries, verify answers, then draft.

This flexibility is why so many users across different teams find Harvey useful within their first week.

How to Get Better Answers From Harvey

The quality of Harvey’s answers depends heavily on how you write your prompts and set up your context.

Start by telling the Assistant who the client is, what the matter involves, and what answer you actually need.

Vague prompts get vague answers, so describe the jurisdiction, the governing law, and the documents in play.

Attach the real files first, since the platform draws its best analysis from the text you upload, not guesswork.

Ask for citations every time, then open each source to confirm the answer matches the underlying law.

If the first response misses, refine your prompt rather than starting over, and add the missing context.

Save the prompts that work into your library so the whole team can reuse them and learn from each other.

Break big questions into smaller steps, since a focused query usually beats one giant request.

When you need a document, ask Harvey to draft it in Microsoft Word so you can edit in your normal tool.

These small habits compound, and over time your team gets faster, sharper answers with far less back and forth.

A few prompt patterns come up again and again, so they are worth keeping in your library from the start.

Ask Harvey to summarize a contract and list every obligation, deadline, and governing law clause it finds.

Ask it to compare two agreements and flag where the terms differ, then draft a short note for the client.

Ask it to research a narrow legal question, cite the sources, and explain how each one applies to your matter.

Save the versions that work, and your team builds a shared playbook of prompts that keep getting better.

Harvey Pro Tips and Shortcuts

After testing Harvey for over a year, here are my best tips for legal teams.

Most of these came from small frustrations that turned into habits once I found the faster way to work.

Workspace Shortcuts

การกระทำ	How To
New Assistant chat	Open Assistant, then start a fresh query
อัปโหลดเอกสาร	Drag files straight into the chat or Vault
Export to Word	Use the export button on any response
Reuse a prompt	Save it to your prompt library for next time

คุณสมบัติที่ซ่อนอยู่ซึ่งคนส่วนใหญ่มองข้ามไป

• Prompt library: Save prompts you use often so your team can reuse them and learn faster.
• Review Tables export: Send review results to Excel for sorting, charts, and deeper analysis.
• Support hub: The support hub holds guides, videos, and articles so you learn Harvey at your own pace.
• Matter-based history: Every request is tied to its matter, so you can reopen past answers and sources months later.

Harvey Common Mistakes to Avoid

Mistake: Skipping Document Context

Mistake: Trusting Output Without Review

Mistake: Testing on Live Client Data

Mistake: Ignoring the Support Hub

Harvey Troubleshooting

Problem: Harvey Cannot Find My Documents

สาเหตุ: Your files are not connected, or the upload did not finish.

แก้ไข: Re-upload the documents to your Vault or matter, then refresh the page and run the search again.

Problem: Answers Are Missing Citations

สาเหตุ: The query was too broad, or no trusted sources were selected.

แก้ไข: Add context, pick legal research sources like EDGAR or LexisNexis, and ask a narrower question.

Problem: A Workflow Gives Inconsistent Output

สาเหตุ: The workflow prompts are vague, or the input documents vary too much.

แก้ไข: Tighten the prompts, add review tables, and run end-to-end testing on sanitized agreements before deploy.

Problem: My Word or Outlook Add-In Will Not Load

สาเหตุ: The integration was never enabled, or your firm blocks the add-in.

แก้ไข: Open the integrations menu, confirm Microsoft Word and Outlook are connected, then ask your IT team to allow the add-in.

Problem: My Export to Excel Is Empty

สาเหตุ: The review tables had no saved results, or the matter was switched mid-run.

แก้ไข: Re-run the review tables on the correct matter, wait for results to finish, then export to Excel again.

📌 บันทึก: If none of these fix your issue, contact Harvey support or check the support hub for guides and videos.

What is Harvey?

ฮาร์วีย์ is an AI platform built for legal professionals and professional services firms.

Think of it like a trained legal assistant that reads vast amounts of documents and answers in seconds.

ชมภาพรวมโดยย่อนี้:

Over 142,000 legal teams use Harvey worldwide, from in-house counsel to large law firms.

It was built specifically for legal and professional services, so it understands legal language out of the box.

That focus is the reason it can analyze contracts, complaints, and case law with real legal expertise.

ประกอบด้วยคุณสมบัติหลักดังต่อไปนี้:

• ผู้ช่วย AI: Ask legal questions and get cited answers from your own documents
• Supercharged Legal Research: Run legal research across case law, statutes, and articles
• ระบบอัตโนมัติสำหรับเวิร์กโฟลว์: Automate repeat legal processes with custom workflows
• Governance Controls: Manage security, privacy, and compliance from one workspace
• การผสานรวม: Connect Microsoft Word, Outlook, iManage, and Vault
• Pre-Built Workflows: Run ready-made playbooks that review contracts fast
• Vault: Store and search vast amounts of files inside Vault
• Legal Research Module: Query trusted sources like EDGAR and LexisNexis
• Enterprise-Grade Protection: Protect client data with enterprise-grade security

สำหรับรีวิวฉบับเต็ม โปรดดูที่หน้าของเรา Harvey review.

What Makes Harvey Different

Plenty of AI tools claim to help lawyers, so it is fair to ask what sets Harvey apart.

The first difference is focus, since Harvey was built only for legal and professional services work.

That narrow focus means the platform speaks the language of contracts, complaints, and case law fluently.

The second difference is grounding, since every answer can carry citations to trusted legal sources.

You are not asked to trust a black box, because you can open each source and check the law yourself.

The third difference is security, since the platform meets enterprise-grade standards from the start.

Harvey does not use client data for model training, which protects privacy across every matter you handle.

The fourth difference is depth, since custom workflows and review tables handle real volume, not just demos.

A team can run a playbook across hundreds of contracts and export the analysis to Excel in one pass.

The fifth difference is reach, since the platform connects to the Microsoft Word and Outlook tools you already use.

Taken together, these traits explain why so many legal teams trust Harvey for client-facing work.

It is less a clever toy and more a working tool that fits the practices serious legal professionals already follow.

Harvey Pricing

Here’s what Harvey costs in 2026:

Harvey uses custom pricing built around each firm’s size, matters, and security needs.

There is no single public monthly price, since a solo practice and a global firm need very different setups.

Instead, you talk to the sales team, describe your team and your matters, and receive a quote scoped to you.

วางแผน	ราคา	เหมาะสำหรับ
ติดต่อสอบถามราคา	ใบเสนอราคาแบบกำหนดเอง	Law firms and legal teams of any size
องค์กร	ใบเสนอราคาแบบกำหนดเอง	Large firms needing SSO, audit logs, and IP allow-listing
In-house teams	ใบเสนอราคาแบบกำหนดเอง	Corporate legal departments and professional services

ทดลองใช้งานฟรี: Harvey is sold to verified legal teams, so you request access rather than start a public free trial.

รับประกันคืนเงิน: Terms are set per contract, so confirm the details with the Harvey sales team.

💰 คุ้มค่าที่สุด: Request a custom quote and ask for a scoped pilot so your team can test Harvey on real matters before you commit.

Harvey vs Alternatives

How does Harvey compare? Here’s the competitive landscape for legal AI tools.

The legal AI market has grown fast, and several strong tools now compete for the same legal teams.

Each one leans toward a different strength, so the right pick depends on your firm’s size and matters.

ลองชมการเปรียบเทียบนี้:

เครื่องมือ	เหมาะสำหรับ	ราคา	การให้คะแนน
ฮาร์วีย์	AI ด้านกฎหมายสำหรับองค์กร	กำหนดเอง	⭐ 4.6
ที่ปรึกษา	Document review	กำหนดเอง	⭐ 4.5
เลกซิส+ AI	การวิจัยทางกฎหมาย	กำหนดเอง	⭐ 4.4
ตำราเวทมนตร์	Contract drafting	99 ดอลลาร์/เดือน	⭐ 4.5
วินเซนต์ AI โดย Clio	Small firms	กำหนดเอง	⭐ 4.3
เอเวอร์ลอว์	Litigation and ediscovery	กำหนดเอง	⭐ 4.6
ลีกัลฟลาย	Privacy-first AI	กำหนดเอง	⭐ 4.2

ตัวเลือกที่น่าสนใจ:

• ดีที่สุดโดยรวม: Harvey — trusted by legal teams for research, drafting, and review at scale.
• งบประมาณที่ดีที่สุด: Spellbook — affordable contract drafting inside Microsoft Word for smaller firms.
• เหมาะสำหรับผู้เริ่มต้น: Vincent AI by Clio — friendly setup for solo and small law firms.
• Best for litigation: Everlaw — strong ediscovery and analysis for complaints and disputes.

🎯 Harvey Alternatives

Looking for Harvey alternatives? Here are the top options for legal teams.

• 🚀 ที่ปรึกษาร่วม: A trained legal assistant from Thomson Reuters that handles document review, research, and drafting for law firms.
• 💰 Lexis+ AI: LexisNexis research AI that answers legal queries with citations drawn from trusted case law and statutes.
• 🎨 ตำราเวทมนตร์: Contract drafting AI that works directly inside Microsoft Word to redline and generate clauses fast.
• ⚡ Vincent AI โดย Clio: Clio’s legal AI that analyzes documents and runs research, built for solo and small firm practices.
• 🔒 เอเวอร์ลอว์: Litigation and ediscovery platform with AI analysis for large document sets, complaints, and disputes.
• 🧠 ลีกัลฟลาย: Privacy-first legal AI that keeps client data secure while drafting and reviewing contracts and matters.

ดูรายชื่อทั้งหมดได้ที่หน้าของเรา Harvey alternatives แนะนำ.

No single tool wins for everyone, so the best choice depends on your budget, your matters, and your security needs.

Harvey tends to win when a firm needs depth, scale, and enterprise-grade security across many practice areas at once.

⚔️ Harvey Compared

Here’s how Harvey stacks up against each competitor for legal work.

• Harvey vs CoCounsel: Harvey wins on custom workflows and enterprise reach, while CoCounsel leans on Thomson Reuters research content.
• Harvey vs Lexis+ AI: Lexis+ AI wins on raw research depth, while Harvey wins on drafting, workflows, and document review tables.
• Harvey vs Spellbook: Spellbook wins on price for solo drafting, while Harvey wins on scale, research, and enterprise security.
• Harvey vs Vincent AI by Clio: Vincent wins for small firms on Clio, while Harvey wins for large legal teams and complex matters.
• Harvey vs Everlaw: Everlaw wins on ediscovery and litigation, while Harvey wins on drafting, research, and broad legal workflows.
• Harvey vs LegalFly: LegalFly wins on a privacy-first ขว้าง, while Harvey wins on features, integrations, and proven enterprise use.

How to Roll Out Harvey Across Your Team

Getting one lawyer comfortable with Harvey is easy, but a firm-wide rollout needs a little planning.

Start with a small pilot group of curious users who already feel comfortable with new tools.

Give them a few real but sanitized matters so they can test the platform without risking client data.

Ask each user to build one workflow and run it end to end, then share what worked at a short team การประชุม.

Collect the best prompts into a shared library so new users start with proven examples, not a blank page.

Point everyone to the support hub, the videos, and the articles so they can learn at their own pace.

Set clear rules early: always add context, always verify outputs, and never paste an answer in without review.

Turn on audit logs and access controls from day one so security and compliance are built in, not bolted on.

As confidence grows, widen access to more legal teams and more practice areas across the firm.

Measure the efficiency gains in real terms, like hours saved on research and faster turnaround on contracts.

Share those wins, since nothing drives adoption like a colleague showing how Harvey saved them an afternoon.

Done this way, the platform spreads through your firm steadily, and the expertise behind it compounds over time.

Start Using Harvey Now

You learned how to use every major Harvey feature:

• ✅ ผู้ช่วย AI
• ✅ Supercharged Legal Research
• ✅ ระบบอัตโนมัติของเวิร์กโฟลว์
• ✅ Governance Controls
• ✅ การผสานรวม
• ✅ Pre-Built Workflows
• ✅ Vault
• ✅ Legal Research Module
• ✅ Enterprise-Grade Protection

ขั้นตอนต่อไป: เลือกฟีเจอร์หนึ่งอย่างแล้วลองใช้ดูเลย

Most legal teams start with the AI Assistant.

It takes less than 5 minutes to ask your first query and get cited answers.

From there, work through the features at your own pace, one matter at a time.

Upload a real but sanitized document, ask a clear question, and check the citations the platform returns.

Once that feels natural, build your first workflow and save the prompts that work into your library.

Within a few weeks, most users find Harvey woven into their daily practice, from research to drafting to review.

The sooner you start, the sooner your team turns hours of manual legal work into minutes of cited analysis.

ถาม บ่อย ๆ

Can anyone get Harvey AI?

Not exactly. Harvey is sold to verified legal teams and law firms, so you request access through your firm rather than sign up as a single public user.

How much does Harvey cost per month?

Harvey uses custom pricing instead of a fixed monthly rate. Cost depends on your firm size, matters, and security needs, so you contact the sales team for a quote.

What is Harvey and how does it work?

Harvey is an AI platform for legal professionals. It reads your documents, runs legal research, drafts text, and answers queries with citations across a secure workspace.

What law firms are using Harvey?

Over 142,000 legal teams use Harvey worldwide, including large law firms, in-house departments, and professional services firms that need secure legal AI.

How to use Harvey in litigation?

Upload complaints and case files to Vault, then use the Assistant and review tables to analyze documents, find key facts, and draft filings with cited sources.