AI is transforming legal writing, but not all tools are built for the job.

Legal teams deal with high-stakes documents - contracts, NDAs, compliance reports - where precision, structure, and confidentiality are non-negotiable. AI can help by automating drafting, summarisation, and research, reducing the time it takes to produce written work while improving consistency and accuracy. It accelerates deal flows by enabling faster contract generation and review, cutting turnaround times for negotiations. It also enhances compliance by ensuring documents align with local requirements and regulatory standards.

But legal writing isn’t just about efficiency. Maintaining confidentiality and security matters too. Public AI tools may store input data or lack legal-specific safeguards, creating risks that outweigh the benefits. That’s why law firms and in-house teams are turning to AI solutions built specifically for legal work.

The top AI tools for legal writing in 2025

The best AI tools for legal writing in 2025 combine advanced natural language processing (NLP) with legal expertise. These platforms support contract drafting, legal research, compliance checks, and more. Security and data privacy should be key considerations when choosing a tool.

1. LEGALFLY 

LEGALFLY AI-native workspace supercharges many facets of legal work, including writing. It cuts drafting time from minutes to hours and can automatically redraft in Microsoft Word.

Unlike general AI tools, it prioritises data security, legal accuracy, and jurisdictional compliance, ensuring sensitive information remains protected. It automates contract drafting, legal document review, and compliance checks while integrating into legal workflows.

LEGALFLY does not expose any sensitive information to external servers. Advanced anonymisation ensures all sensitive data is redacted before processing.

2. Spellbook

Spellbook is an AI-powered contract drafting tool that integrates with Microsoft Word. It predicts clauses, suggests legal language, and improves consistency across documents, making drafting more efficient.

While it helps automate document creation, Spellbook is primarily focused on clause suggestions and lacks broader legal research or compliance tools. It is best suited for lawyers who need quick AI-powered drafting support.

3. Gavel

Gavel is a document automation platform for legal professionals who need to draft standardised agreements. It turns templates into dynamic, interactive documents, helping firms scale document workflows.

While Gavel streamlines document generation, it is best suited for structured, repetitive documents rather than complex legal drafting. It also lacks AI-powered research capabilities, meaning it cannot assist with legal reasoning or complex case analysis.

4. Evisort

Evisort is an AI-driven contract management tool that helps legal teams analyse contracts, extract key terms, and track compliance. It is particularly effective for large organisations managing high contract volumes.

While Evisort is useful for contract review and compliance tracking, it is not designed for drafting new legal documents.  

5. Juro

Juro is an AI-powered contract drafting and review platform designed for legal teams handling high-volume agreements. It enables faster contract generation, clause suggestions, and in-platform editing, reducing reliance on manual drafting.

It integrates structured contract templates with AI-assisted clause drafting and allows for collaborative contract review and redlining.

Juro is primarily built for contract management rather than broader legal drafting. It is ideal for legal teams handling high-volume contract workflows.

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6. Gemini

Google’s Gemini AI is a general purpose AI tool that can help with legal research, summarising case law, and refining legal language.  

However, Gemini is not built specifically for legal work and lacks legal citation automation. As a public AI model, it raises security concerns - users should be cautious about sharing sensitive legal data with it. It is best used as a supplementary tool rather than a core AI solution.

7. ChatGPT

As a general AI tool, ChatGPT can help with research, summarisation, and structuring legal arguments. It is useful for generating legal-style text and brainstorming responses to legal queries.

However, ChatGPT lacks built-in legal citation tools and does not guarantee accuracy or confidentiality. Its public model may store input data, creating significant confidentiality risks. Careful fact-checking and discretion are required when using it for legal work.

What to look for in legal writing AI tools

You should prioritise security, regulatory compliance, and accuracy when selecting AI tools for legal writing. 

1. Advanced natural language processing (NLP) for legal text

Legal writing requires precise terminology, logical reasoning, and strict formatting. AI tools should be trained on legal datasets and be able to:

• Interpret legal terminology correctly across different jurisdictions.
• Recognise contextual differences between contracts, case law, and statutory language.
• Generate clear, concise, and legally sound text.

Without strong NLP capabilities, AI-generated legal text may contain ambiguities, improper phrasing, or misinterpretations of case law, increasing compliance risks.

2. Legal citation and formatting automation

It goes without saying that you should be able to count on accuracy in citations, references, and document structure. Legal AI tools should:

• Automatically generate and format citations according to legal standards.
• Support inline case citations and reference validation to ensure accuracy.
• Maintain consistent document formatting.

AI tools lacking built-in citation features require manual checking, slowing you down and increasing the risk of non-compliance.

3. Integration with legal research platforms

AI tools should connect with legal research databases to enhance efficiency and compliance. A strong legal AI tool should:

• Provide real-time access to statutes, regulations, and case law.
• Automate case law retrieval for quick validation of legal arguments.
• Enable cross-referencing between drafted text and authoritative legal sources.

Without research integration, AI-generated legal arguments risk being outdated or legally unsound, requiring additional checks.

4. Security and confidentiality features

AI tools used in legal work should protect sensitive information. Key security features to look for include:

• On-premise or private cloud deployment to ensure compliance with data protection laws.
• No external data retention or AI model training on confidential input.
• End-to-end encryption and access controls to prevent unauthorised access to sensitive documents.

Public AI models (like ChatGPT or Gemini) store input data, posing a risk for firms handling legally sensitive or regulated information.

5. User-friendly interface  

Legal AI tools should fit into existing workflows rather than disrupt them. A well-designed platform will:

• Integrate with Microsoft Word, document management systems, and software like Slack.
• Allow customisation of AI-generated templates to align with firm-specific language and compliance needs.
• Be intuitive, minimising training requirements.

Legal writing tasks where AI excels

AI can help legal teams draft documents, summarise complex information, and conduct research more efficiently. While AI can significantly reduce the time spent on routine writing tasks, you should ensure that its outputs are accurate, compliant, and aligned with your organisation’s policies.

1. Drafting and formatting

Contract drafting: AI can produce first drafts of NDAs, employment agreements, and commercial contracts using your templates.

Precedent-based drafting: AI can suggest clauses based on prior contracts, ensuring consistency across legal documents.

Regulatory compliance documents: AI can assist in drafting policies and agreements that align with regulations such as DORA.

Formatting and structuring: AI can maintain consistent numbering, definitions, and references, reducing the need for time consuming manual corrections.

2. Summarisation

Legal teams often deal with large volumes of case law, contracts, and regulatory updates. AI can extract key information quickly, making it easier to review essential details. AI-powered summarisation is particularly useful for:

Case law summaries: AI can condense judgments and highlight relevant legal principles.

Contract analysis: AI can extract key obligations, risks, and termination clauses from long agreements.

Due diligence reports: AI can review corporate documents and highlight legal risks in mergers and acquisitions or compliance audits.

Legislative and regulatory updates: AI can track changes in laws and generate concise updates for legal teams.

3. Research 

Legal research is a time-intensive process that requires access to accurate, up-to-date case law and regulatory materials. AI can help by finding relevant legal information faster and improving search precision. Key applications include:

Case law retrieval: AI can identify relevant precedents based on specific legal issues and jurisdictions.

Statutory interpretation: AI can compare legal provisions across different jurisdictions, assisting with cross-border compliance.

Regulatory compliance checks: AI can assess whether contracts and policies align with legal standards, then flag and amend inconsistencies.

Trend analysis : AI can identify patterns in case law, litigation outcomes, and enforcement actions, helping legal teams anticipate risks.

How to successfully integrate AI into legal writing workflows

There are a few ways to to maximise AI’s benefits while safeguarding confidentiality and legal integrity.

Use AI tools built for legal work

Public AI models may store input data, creating confidentiality risks. Legal-specific AI, like LEGALFLY, is designed to protect user data.

Train staff to use AI effectively 

Lawyers and support staff should understand AI’s capabilities and limitations, particularly in handling sensitive information.

Review vendor policies carefully 

AI providers must guarantee data security and non-retention of sensitive input to protect confidentiality.

Conclusion 

AI can speed up legal writing, but security and compliance matter as much as efficiency. Public AI models introduce risks, from data retention to potential loss of confidentiality. Legal teams need AI that fits their workflows without compromising confidentiality.

LEGALFLY is built for legal professionals, ensuring secure, accurate, and compliant AI-assisted drafting. Unlike general AI, it protects privileged work while accelerating contract creation, research, and compliance checks.