AI in Legal Practice: How to Use AI as a Lawyer
08.06.2026
Key takeaways
- Lawyers can use AI for legal research, document review, drafting, client intake, communication and matter management, but every output requires appropriate human review.
- AI is best suited to repetitive, document-heavy and information-intensive work. Final legal advice, strategic judgment and court submissions should remain the responsibility of qualified lawyers.
- General AI tools suit low-risk tasks, specialised legal tools handle individual functions, and legal AI assistants support connected workflows involving firm knowledge and internal systems.
- Responsible adoption requires approved data sources, secure integrations, access controls, source verification and clear accountability.
- Law firms should evaluate AI based on measurable workflow improvements, including time saved, accuracy, adoption and response times.
What does using AI in legal practice mean?
Using AI in legal practice means applying technology to support tasks that traditionally require substantial manual effort, such as researching legal issues, reviewing documents, preparing initial drafts and organising matter information. It does not mean transferring legal judgment or professional responsibility to a machine.
Legal AI includes several types of technology. Some AI systems classify documents, extract information or identify patterns using predefined models. Generative AI can produce new text, summaries and recommendations in response to instructions. Many of these applications rely on a large language model trained to recognise and generate natural language.
The level of support also varies between solutions. General-purpose AI tools can help with low-risk activities such as brainstorming or rewriting non-confidential content. Specialised AI-powered legal tech may search case law, analyse contracts or support eDiscovery. An AI assistant can go further by working with approved firm knowledge, templates and connected systems to support multiple stages of a workflow.
For legal professionals, the practical value lies in reducing the time spent on repetitive legal tasks while making relevant legal information easier to find and use. However, outputs must still be reviewed for accuracy, context and potential risk. Lawyers remain responsible for validating sources, protecting confidential information and deciding how the results should influence a matter.
In this sense, artificial intelligence in law functions best as a structured layer of support for legal work and not as a replacement for a lawyer’s expertise, accountability or understanding of the client’s circumstances.
6 Practical Ways Lawyers Can Use AI
AI is most effective when applied to time-consuming, information-heavy processes with clear inputs and review requirements. The following use cases show where it can provide practical support while keeping lawyers responsible for accuracy, strategy and final decisions.
1. Research legal questions
Lawyers can use AI to identify relevant legislation, judgments and secondary sources more quickly. Instead of searching through results manually, they can ask a focused question, explore related authorities and generate an initial summary of the findings.
However, AI for legal research should support the lawyer’s own analysis. Every authority, quotation and citation must be checked against an authoritative source. This is particularly important because an answer may omit relevant context, rely on outdated material or invent a source that appears credible.
2. Review and summarise documents
AI can help lawyers process large volumes of contracts, pleadings, correspondence and evidence. It can extract names, dates, obligations and clauses; compare multiple versions; identify inconsistencies; and create concise summaries.
For example, during a dispute, a lawyer could use AI software to organise key events from emails and supporting records into a preliminary chronology. During a transaction, the technology could flag unusual provisions across a collection of agreements. Lawyers should still inspect the original legal documents and determine whether the identified information is relevant.
3. Draft and revise contracts
An AI tool can produce a first draft from an approved template, suggest alternative wording and compare proposed clauses with an organisation’s preferred positions. It can also highlight missing provisions or explain how a counterparty’s wording differs from the standard language.
This can accelerate routine drafting, but the output should not be treated as a finished contract. A lawyer must confirm that every provision reflects the transaction, applicable jurisdiction, commercial objectives and agreed allocation of risk.
4. Prepare briefs, memos and correspondence
AI technologies can support the early stages of drafting legal briefs, internal memoranda, client updates and routine correspondence. A lawyer can provide relevant facts, source materials and formatting requirements, then use the generated draft as a structured starting point.
The lawyer must review the reasoning, authorities, tone and factual statements before using the content. Any material submitted to a court, regulator, counterparty or client requires particular scrutiny and approval.
5. Support client intake and communication
A law firm can use AI to collect initial information, categorise an enquiry and prepare a concise matter summary before the first consultation. It can also draft appointment confirmations, status updates and plain-language explanations based on information approved by the responsible lawyer.
These applications may reduce administrative delays and help clients receive faster responses. They should not provide unsupervised advice, make decisions about accepting a matter or receive confidential data through an unapproved platform.
6. Organise matters and routine operations
Legal project management involves coordinating deadlines, responsibilities, documents and communication throughout a matter. AI can generate task lists, prepare meeting notes, summarise progress and identify outstanding actions from approved records.
When connected to the appropriate internal systems, it can also help legal teams locate previous materials and maintain more consistent workflows. Lawyers must still control deadlines, assign responsibility and confirm that automated records are complete. For predictable actions such as reminders and document routing, traditional rules-based automation may be more reliable and cost-effective than an AI model.
Benefits of AI for lawyers
The impact of AI is most valuable when it improves how legal services are delivered without compromising quality, confidentiality or professional oversight. Used responsibly, the technology can create measurable advantages for individual practitioners, clients and the wider legal profession.
Greater efficiency in routine work
AI can process, classify and summarise information faster than a lawyer working manually. Reducing the time required for repetitive or document-heavy activities allows practitioners to focus on analysis, negotiation and strategy.
The Wolters Kluwer Future Ready Lawyer Survey 2026 found that more than 60% of respondents saved between 6% and 20% of their working time each week through AI. These results indicate substantial potential efficiency gains, although actual savings depend on the task, implementation and level of adoption.
Faster and more responsive client service
By accelerating initial reviews, matter summaries and routine communications, AI may help firms respond to clients more quickly. Shorter turnaround times can improve the client experience while giving lawyers more time to understand the client’s objectives and provide considered advice.
In the Thomson Reuters Future of Professionals Report 2025, improved response times were among the most frequently reported returns from organisational AI investment, alongside productivity improvements and fewer errors.
More consistent processes
AI solutions can apply the same review criteria, templates and instructions to similar matters. This supports greater consistency across the legal industry, particularly when teams work across offices or practice areas. Human review remains necessary, but standardised processes can reduce avoidable omissions and variations.
Better access to firm knowledge
When connected to approved internal resources, AI can make previous work product, templates and institutional knowledge easier to locate. This allows practitioners to reuse relevant expertise instead of recreating work or depending on individual employees to remember where information is stored.
Increased capacity and scalability
By reducing the manual effort required for selected processes, firms may handle more work without increasing staff numbers at the same rate. This does not mean replacing lawyers. It means allocating their time more effectively and using technology to support suitable parts of each legal service.
The Thomson Reuters report estimates that legal professionals could free up nearly 240 hours per year as adoption develops. However, this is a projection rather than a guaranteed result, and firms need to measure savings within their own workflows.
More time for higher-value work
The central benefit is not simply completing the same work faster. Thoughtful AI use gives lawyers more capacity for client relationships, complex reasoning, risk assessment and strategic decisions—the areas where professional experience creates the greatest value.
This value is already becoming measurable: 53% of professionals surveyed by Thomson Reuters said their organisations were seeing a direct or indirect return from AI investment, most commonly through efficiency, productivity, response-time improvements and error reduction.
Important considerations for responsible AI use in law firms
The use of AI in law can improve efficiency, but it also creates risks that firms must manage through clear policies, appropriate technology and human oversight. The specific requirements vary by jurisdiction, so practitioners should follow the professional rules and regulatory guidance that apply to them.
Accuracy and source verification
AI and large language models can generate convincing answers that are incomplete, outdated or false. Every citation, quotation, factual statement and legal conclusion should therefore be checked against an authoritative source before it is used.
The ABA’s Formal Opinion 512 states that uncritical reliance on AI-generated content could violate a lawyer’s duty to provide competent representation. The level of review may vary by task, but responsibility for the final output remains with the lawyer.
Confidentiality, privilege and data security
Practitioners should not enter client information into general AI tools without understanding how the provider stores, processes and reuses that data. Before using AI tools, firms should review the provider’s terms, security controls, retention policies, training practices and access arrangements.
Approved legal AI tools may offer stronger protections, but a specialised product should not automatically be assumed to be secure. The ABA advises lawyers to assess the risk of unauthorised disclosure before entering information relating to a client representation into a system. Firms should also consider applicable privacy requirements and whether informed client consent is necessary.
Bias and incomplete analysis
Outputs can reflect gaps or bias in training data, source materials and system design. The impact of artificial intelligence may be especially serious when a result influences decisions affecting employment, immigration, criminal justice or access to services.
Lawyers should examine whether an output overlooks relevant perspectives, treats similar cases inconsistently or relies on an unrepresentative dataset. The UK Solicitors Regulation Authority recommends monitoring results for both inaccurate and biased outcomes, including bias that develops as systems change.
Professional judgment and accountability
AI in legal work should support—not replace—professional reasoning. Tasks involving strategy, final advice, negotiations, privilege decisions or representations to a court require direct lawyer involvement.
The SRA makes clear that firms remain accountable for services delivered with third-party AI. Similarly, the ABA identifies competence, confidentiality, client communication, supervision, candour and reasonable fees as relevant professional duties. The rules differ between jurisdictions, but delegating a task to technology does not delegate responsibility for its consequences.
Governance and internal controls
Responsible integration of AI requires more than allowing employees to experiment with new software. Firms should define:
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Which systems and use cases are approved
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What information users may enter
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Which outputs require human review
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Who is responsible for monitoring performance
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How errors and security incidents will be reported
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When clients must be informed
Training should cover both system capabilities and limitations. The SRA’s 2026 compliance guidance also highlights senior leadership, board oversight and governance frameworks as important safeguards when introducing new technology.
Client communication and billing
Clients may need to know when technology plays a material role in their matter, particularly if its use affects confidentiality, cost or how advice is produced. Firms should also ensure that fees remain reasonable and accurately reflect the work performed. Charging for hours that were not actually required simply because a manual process would have taken longer is difficult to justify.
Handled properly, responsible adoption can strengthen trust while allowing the legal industry to benefit from automation. Without verification, governance, and transparency, however, the same technology can scale mistakes as easily as it scales productivity.
AI Tools for Lawyers: Choosing the Right Solution for Practitioners
Choosing the best AI solution requires more than comparing features. The right choice depends on the workflow, data sensitivity and required human oversight. Before selecting an AI platform, organisations should define the problem, expected outcome and measures of success.
Legal AI assistants sit between general workplace tools and single-purpose legal software. They can retrieve information from approved sources, prepare matter summaries, generate drafts and coordinate routine actions across connected systems. They are valuable for workflows involving internal knowledge, templates and matter data. However, a specialised tool may be more suitable for an isolated task such as eDiscovery or citation research.
AI Niche Specialization
Some new AI tools support broad workplace productivity, while others specialise in AI for law. Legal-specific solutions may provide trusted research sources, contract analysis, citation checking, or functions designed around the practice of law. General tools may be sufficient for low-risk tasks involving non-confidential information.
Requirements also vary between users. Law students conducting preliminary research have different needs from firms and in-house legal departments handling sensitive client matters. Organisations should assess whether the technology supports their key legal workflows, jurisdictions and document types.
Any AI output should be tested using realistic examples. Teams need to evaluate accuracy, source transparency and consistency within legal processes instead of relying on idealised product demonstrations.
Ease of set-up
Even the best AI system delivers little value if lawyers find it difficult to use. The interface should be intuitive, training manageable and administration straightforward.
Before introducing new AI, organisations should establish an AI policy covering approved uses, confidential information, verification and accountability. This is particularly urgent if employees already use AI informally. A controlled pilot can show whether the technology improves legal work or simply adds another step.
Integration with existing apps your team uses
AI helps most when it connects securely with the document management, matter management, email, research, and intake applications teams use daily.
Integration is especially important for legal AI assistants. Without access to approved knowledge and applications, an assistant may function as little more than a standalone chatbot. Teams should assess permissions, source traceability, audit history and human-approval controls.
AI has the potential to improve efficiency within legal workflows, but implementation determines its value. The impact on the legal team will depend on workflow fit, adoption, secure data access and responsible oversight.
Find out how ARIA AI assistant can transform your practice
ARIA is designed to support connected legal workflows rather than add another isolated tool to your technology stack. It can work with approved firm knowledge, templates and existing systems to help legal teams find information, prepare initial drafts, summarise matter details and manage routine tasks more efficiently.
Because ARIA is configured around your organisation’s processes, it can provide more relevant support while maintaining the permissions, review steps and governance controls required for responsible use. Lawyers remain responsible for verifying outputs and making final decisions.
Successful implementation starts with identifying the right workflow, assessing data and system readiness, and defining where human oversight is required. Explore DOOR3’s legal AI consulting services to determine where ARIA could deliver the greatest value within your practice.
FAQ
Can AI be used in all areas of law?
AI can support work across most areas of the legal field, but it is not equally suitable for every task. Lawyers use AI for research, contract review, document analysis, drafting and administration. Greater caution is required when work involves sensitive data or high-stakes decisions. Any output concerning relevant case law, client advice or court submissions must be reviewed by a qualified lawyer.
What challenges do law firms face when implementing AI solutions?
The main challenges include data security, unreliable outputs, poor integration, unclear accountability and low employee adoption. Before introducing AI in your law firm, you need approved use cases, review procedures and staff training. The success of AI for law firms depends on how well the technology fits existing workflows—not simply on selecting the most advanced product available.
Will AI replace lawyers, or augment their work?
AI tools can help lawyers research information, review documents and prepare initial drafts more efficiently, but they cannot replace professional judgment, accountability or client relationships. Lawyers are leveraging AI to reduce repetitive work and spend more time on strategy, negotiation and advice. The greatest potential for AI lies in augmenting legal expertise, not independently performing the lawyer’s role.
How much does using an AI tool in legal practice cost?
The costs of AI depend on the product, number of users, required integrations and level of customisation. Basic tools may charge a monthly fee per user, while enterprise legal AI technology can also involve implementation, security, training and maintenance costs. Firms should compare the total cost with measurable outcomes such as time saved, adoption, accuracy and improved service delivery.
