Artificial intelligence is quickly becoming one of the most talked-about technologies in the legal industry. From document review and legal research to drafting contracts and summarizing depositions, AI promises to improve efficiency and reduce administrative work.
But many firms are asking the wrong question.
Instead of asking, “Which AI tool should we buy?”, law firms should first ask:
“Where can AI create the greatest value for our firm while protecting our clients, data, and reputation?”
The firms that see the biggest return on AI won’t necessarily be the ones with the most software; they’ll be the ones with the best strategy.
AI Is Becoming a Competitive Advantage
According to the American Bar Association’s 2024 Legal Technology Survey Report, generative AI adoption has accelerated across the legal profession, with firms increasingly experimenting with AI for legal research, drafting, summarization, and administrative tasks. Meanwhile, corporate clients are beginning to expect their outside counsel to leverage technology that improves efficiency without compromising quality or security.
The opportunity is significant, but so are the risks.
Law firms manage some of the most confidential information in any industry. Client communications, litigation strategies, financial records, intellectual property, and privileged documents all require the highest levels of security and governance.
Without a clear plan, introducing AI can create new concerns around:
- Client confidentiality
- Data privacy
- Ethical obligations
- Regulatory compliance
- Shadow AI (employees using unauthorized AI tools)
- Inaccurate or “hallucinated” legal information
- Governance and auditability
Before deploying AI across the organization, firms should build a roadmap.
Step 1: Look at Where Your Team Wastes Time
The best AI opportunities often aren’t the most glamorous, they’re the most repetitive.
Before evaluating vendors or purchasing licenses, take a step back and identify where your attorneys and staff spend time on work that doesn’t create strategic value.
Ask questions like:
- Which tasks are repetitive?
- What slows people down every day?
- Where do attorneys lose billable time?
- What work could be automated without sacrificing quality?
There are several practical ways to identify these opportunities.
Watch How Time Gets Spent
Review billing data, internal time tracking, service desk requests, and workflow reports.
Look for patterns such as:
- Manual document preparation
- Repetitive client communications
- Administrative approvals
- Information retrieval
- Intake processes
These activities often take hundreds of hours every year.
Look for Repeated Requests
If your IT team or legal operations staff repeatedly receives the same questions or requests, that’s a strong indicator that automation may help.
Examples include:
- Password resets
- Document location requests
- Matter status updates
- Template requests
- Standard policy questions
- Client onboarding paperwork
AI-powered assistants can often handle many of these interactions automatically.
Ask Your People
One of the simplest and most overlooked approaches is simply talking to attorneys and staff.
Ask questions like:
- What part of your day feels repetitive?
- What takes longer than it should?
- If you could eliminate one task every week, what would it be?
The people closest to the work usually know exactly where efficiency can improve.
Observe Real Workflows
Sometimes the biggest inefficiencies never appear in reports.
Sit with attorneys, paralegals, legal assistants, and administrative staff while they complete routine work.
Watching actual workflows often uncovers:
- Duplicate data entry
- Manual approvals
- Multiple document versions
- Excessive email chains
- Unnecessary context switching
These workflow bottlenecks frequently become excellent candidates for AI-assisted automation.
Step 2: Prioritize High-Impact, Low-Risk Use Cases
Not every AI project needs to transform the firm overnight.
Many successful firms begin with narrowly focused use cases that deliver measurable value.
Examples include:
Document Summarization
AI can summarize lengthy pleadings, contracts, depositions, and case files, allowing attorneys to review key information more quickly.
Legal Research Assistance
Modern AI tools can help organize research, identify relevant authorities, and accelerate early-stage legal analysis while attorneys remain responsible for validating the results.
Drafting First Versions
AI can generate initial drafts of:
- Engagement letters
- Internal memos
- Client communications
- Standard contracts
- Policies
- Meeting summaries
This reduces administrative work while keeping attorneys in control of final review.
Knowledge Management
Many firms possess years of valuable internal knowledge that is difficult to search for.
AI can help organize internal precedents, policies, templates, and historical work products, making institutional knowledge easier to access.
Administrative Automation
AI can also streamline:
- Scheduling
- Intake
- Conflict checks
- Client follow-ups
- Internal help desk requests
- Meeting summaries
- Workflow routing
These improvements often produce immediate productivity gains across the firm.
Step 3: Build AI Governance Before Scaling
Technology alone doesn’t reduce risk.
Every law firm should establish clear AI governance policies before broad adoption.
A governance framework should define:
- Which AI platforms are approved
- What client information may be entered into AI systems
- Human review requirements
- Data retention policies
- Security controls
- User permissions
- Audit logging
- Employee training
Without governance, employees may unknowingly expose confidential information through consumer AI applications that were never intended for legal workloads.
Step 4: Ensure Your Infrastructure Is AI-Ready
Even the best AI platform depends on the underlying IT environment.
Law firms should evaluate whether their infrastructure can support AI securely by asking:
- Is sensitive client data properly protected?
- Are users authenticated with modern identity controls?
- Are devices consistently managed?
- Is data backed up and recoverable?
- Can remote users securely access applications?
- Are AI workloads isolated from sensitive systems when appropriate?
- Is the environment monitored for unusual activity?
An AI initiative is only as secure as the infrastructure that supports it.
Step 5: Measure Business Outcomes – Not AI Adoption
The goal isn’t to say your firm uses AI.
The goal is to improve measurable business outcomes.
Successful firms track metrics such as:
- Attorney productivity
- Reduction in administrative hours
- Faster client response times
- Improved document turnaround
- Lower support ticket volume
- Reduced operational costs
- Higher employee satisfaction
- Better client experience
When AI initiatives are tied to business objectives, firms can prioritize investments that produce meaningful returns.
AI Should Enhance Legal Professionals -Not Replace Them
The legal profession depends on judgment, experience, ethics, and client relationships. AI is not a substitute for those qualities.
Instead, AI should handle repetitive, time-consuming work, so legal professionals can focus on higher-value activities that require expertise and strategic thinking.
Firms that approach AI thoughtfully starting with process improvement, governance, and secure infrastructure will be better positioned to deliver faster service, improve operational efficiency, and meet evolving client expectations without compromising confidentiality or compliance.
How IronOrbit Helps Law Firms Build an AI Foundation
Successful AI initiatives require more than software. They require secure infrastructure, governance, reliable performance, and expert guidance.
IronOrbit helps law firms prepare for AI by delivering secure cloud desktops, managed IT services, cybersecurity, backup and disaster recovery, Microsoft 365 management, and strategic IT consulting designed for highly regulated environments. Built on IronOrbit’s private cloud infrastructure, these services are backed by seven consecutive years of SOC 2 Type II compliance with no exceptions, giving law firms confidence that the infrastructure supporting their AI initiatives meets rigorous standards for security, availability, and operational excellence.
Whether your firm is evaluating its first AI use case or developing a long-term AI roadmap, building a secure, compliant IT foundation helps ensure AI becomes a competitive advantage, not a security risk.
As AI continues to reshape legal services, the firms that invest in strategy before technology will be best positioned to succeed.
Frequently Asked Questions
What is the best way for a law firm to start using AI?
The best way for a law firm to begin using artificial intelligence is by identifying repetitive, time-consuming tasks before selecting any AI software. Start by evaluating where attorneys, paralegals, and administrative staff spend the most non-billable time, such as drafting standard documents, summarizing case files, conducting legal research, or responding to routine client inquiries. Once these opportunities are identified, firms should establish AI governance policies, ensure sensitive client data is protected, and train employees on the responsible use of AI. A strategic, phased approach allows firms to improve efficiency while maintaining client confidentiality, regulatory compliance, and ethical obligations.
How can law firms use AI without compromising client confidentiality?
Law firms can use AI securely by implementing strong governance and security controls before deploying AI tools. Firms should use approved AI platforms that offer enterprise-grade security, restrict what client information can be entered into AI systems, require human review of AI-generated content, and maintain audit logs for compliance. Multi-factor authentication, encryption, secure cloud infrastructure, and endpoint protection are also critical for protecting confidential legal data. Establishing clear AI usage policies helps reduce the risks associated with unauthorized or “shadow AI” applications used by employees.
What are the most valuable AI use cases for law firms?
Some of the highest-value AI use cases for law firms include document summarization, legal research assistance, contract drafting, meeting transcription, document classification, knowledge management, client intake automation, and administrative workflow automation. AI can also help IT departments automate repetitive help desk requests and improve internal knowledge sharing. Rather than replacing attorneys, these tools reduce repetitive work, so legal professionals can spend more time on strategic legal analysis, client relationships, and billable activities.
Does my law firm’s IT infrastructure need to be upgraded before adopting AI?
In many cases, yes. AI applications perform best when supported by secure, modern IT infrastructure. Before expanding AI initiatives, firms should evaluate whether their environment includes secure cloud desktops, identity and access management, reliable backup and disaster recovery, endpoint security, encrypted data storage, and continuous monitoring. An AI strategy built on a secure infrastructure helps protect sensitive client information, improves performance, simplifies compliance, and creates a scalable foundation for future AI initiatives. Investing in the underlying technology first allows firms to adopt AI with greater confidence and lower risk.