The legal industry is at a pivotal point when it comes to technology. Many firms have begun adopting AI — testing tools, exploring efficiencies, and cautiously integrating the technology into select workflows. However, adoption alone doesn’t fully leverage the breakthroughs of AI. The real transformation begins when firms move from equipping to empowering. When AI becomes a strategic asset, it enhances legal judgment, strengthens client relationships, redefines how legal work gets completed, and provides a meaningful competitive advantage.
According to the latest Future of Professionals Report by Thomson Reuters, AI is set to become the most transformative force in the legal industry over the next five years. A striking 80% of law firm respondents anticipate that AI will fundamentally reshape how their businesses operate.
Chapter One
Chapter 1: The current state of AI in the legal profession
AI is not new to most law firms — those with professional-grade tools like Westlaw have been using it for years. Still, many in the field remain cautious. AI’s role in ethical and regulatory compliance is complex, and questions persist about its use in sensitive legal matters. As AI becomes embedded in daily workflows, lawyers must navigate these uncertainties and determine how best to adapt.
Data security still dominates the AI conversation
According to the report, data security remains a top barrier to AI adoption. It notes that 56% of professionals cite data privacy and security as a major concern when considering AI integration. The report also shows that trust in AI tools directly ties into how well they protect sensitive client information.
While only 29% of professionals expect a high or transformational impact in their firm in the next year, 77% expect a high or transformational impact in the long term. Bridging that gap means easing the tension between innovation and security.
Fast followers
Some law firms position themselves as “fast followers,” meaning they’re hesitant to lead in AI adoption but ready to act once other firms prove it works. While this strategy may seem prudent, it also carries risks. Waiting too long can leave firms scrambling to catch up, especially as competitors gain fluency and market advantage. Fast following can flatten the learning curve, even as it becomes steeper with each AI generation.
Chapter Two
Chapter 2: Ethical and regulatory considerations
Legal professionals are grappling with a key question: could using AI in legal matters violate ethical or professional codes of conduct? The answer is not absolute, as guidance is emerging and varies by jurisdiction.
Emerging guidance: State bars and courts take action
State bars are beginning to weigh in. California issued Practical Guidance for the Use of Generative AI in the Practice of Law, cautioning against overreliance on AI and emphasizing oversight. Other states, including New York and Florida, have issued similar advisories. Courts are also taking action. The U.S. District Court for the Eastern District of Texas requires lawyers to verify AI-generated content and affirm their independent legal judgment. The Fifth Circuit Court of Appeals has also reviewed generative AI (GenAI) rules, although it has not yet enacted requirements.
Ethical frameworks: Formal Opinion 512
In 2024, the American Bar Association (ABA) issued Formal Opinion 512, which urges lawyers to consider the existing Model Rules of Professional Conduct when using AI:
- Rule 1.1 — Competence. Lawyers must understand the risks and benefits of any technology used in client service.
- Rule 1.4 — Communication. Lawyers must inform clients when and how they use AI in their representation.
- Rule 1.5 — Fees. Lawyers must not charge unreasonable fees or amounts. As it pertains to AI, this means time spent learning AI tools may not be billable, but time spent using and reviewing outputs can be.
- Rule 1.6 — Confidentiality. Lawyers must safeguard client information unless they have informed consent. As it pertains to AI, this means firms must choose AI that is private and secure.
Transparency and consent: Essential protocols
Client consent protocols are essential when law firms use artificial intelligence. Firms must clearly disclose their use of AI, explain its role in legal processes, and obtain informed consent. Transparency, documented approval, and ongoing communication help ensure ethical compliance and protect client trust.
The critical distinction: Professional-grade vs. consumer-grade AI
It is becoming increasingly important to differentiate between professional-grade and consumer-grade AI solutions in legal practice. Recent incidents highlight the risks associated with using consumer-grade AI tools, which are often trained on unverified web content.
The U.S. Senate's recent inquiry into AI-generated errors in court rulings underscores the dangers of AI hallucinations. Two federal judges admitted to using public AI tools like ChatGPT, resulting in withdrawn rulings due to fabricated case citations and inaccurate legal precedents. These incidents demonstrate that public AI tools, trained on unreliable internet content, fail to meet professional legal standards.
Limitations of consumer-grade AI
Consumer-grade AI tools fall short for legal applications due to several key shortcomings. Specifically, they:
- Rely on broadly sourced internet data, giving equal weight to authoritative sources and unverified opinions
- Fail to keep pace with changing laws and legal precedents, lacking the expert validation needed for accuracy
- Often mishandle case law and citations, leading to incorrect applications or entirely fabricated references
These limitations underscore why consumer-grade AI is not suitable for the legal profession, which demands high accuracy, reliable sourcing, and rigorous oversight.
Requirements for professional-grade AI
Given these risks and limitations, the legal profession requires a more robust solution. Professional-grade AI is not just preferred; it is required for legal work due to its adherence to stringent standards. To meet lawyers' legal, ethical, and operational requirements, professional-grade AI must:
- Be grounded in reliable, legal-specific information. It should generate outputs based on high-quality legal sources and up-to-date databases.
- Enable easy validation. It should provide direct links to sources and a full audit trail, which are essential for users to verify results.
- Have a low tolerance for error. It should include built-in guardrails and undergo regular testing by technical and legal experts to ensure precision.
- Be developed by leaders in professional AI. It should come from organizations with a demonstrated track record of responsible AI development in professional settings.
- Be secure by design. It should encrypt customer data, process the information on private infrastructure, and avoid using it to train third-party models.
Oversight: A non-delegable duty
Even when using a professional-grade AI solution, strong peer-review and fact-checking systems are essential. Zach Warren of the Thomson Reuters Institute emphasizes that AI should be viewed as “people plus technology,” not as a substitute for critical thinking. He also says human-in-the-loop oversight is crucial for responsible AI implementation.
Each firm must define its boundaries — what are acceptable uses, and which tasks should AI never perform?
There is broad agreement that professionals should not use AI as a final decision-maker in legal matters. However, it is widely accepted for lower-risk tasks like document drafting and research, where AI can be effectively monitored and validated. Nearly 68% of respondents in the Thomson Reuters Institute report support GenAI for non-legal work, while 55% support its use in legal tasks.
As ethical and regulatory frameworks evolve, law firms must stay informed, cautious, and proactive. With careful implementation and ongoing human oversight, they can ensure AI enhances their legal practice without compromising professional standards.
Chapter Three
Chapter 3: Embracing technological evolution
Much like the rise of internet search engines in the late 1990s — once experimental, now indispensable — AI will become a daily fixture in legal practice. While only 22% of firms have a visible AI strategy, those that do are more likely to see a return on investment (ROI) from AI. Successful AI deployment engages four layers:
- Strategy. A clear AI strategy makes success 3.9 times more likely.
- Leadership. Active engagement from firm leaders boosts outcomes.
- Operations. Adapting processes and roles improves effectiveness.
- Individual users. Empowered individuals drive adoption and ROI.
We discuss the AI Success Pyramid in greater detail and examine how to maximize ROI from AI investments in the Future of Professionals Report.
Firms that have successfully adopted AI empower legal professionals to lead the way. Rather than imposing quotas or mandates, they encourage organic exploration. They invite lawyers to test tools, track efficiency gains, and share insights with colleagues.
Agentic AI
The next rapidly rising innovation on the technology curve is agentic AI. Its purpose is to manage complex processes that involve multiple steps and decisions. At the center is a large-language model (LLM), which acts like a brain — orchestrating tasks, selecting the right tools, and guiding each phase toward a defined goal. It doesn’t just complete tasks; it oversees entire workflows, leapfrogging the advantages of GenAI in time management and process improvement.
With agentic AI, the technology evolves from a passive assistant that waits for instructions to an active partner. It can independently design a process to solve a problem, check with the user to ensure the approach makes sense, and then carry out multiple steps to complete complex, end-to-end tasks. It not only executes tasks, but it also reasons, plans, and delivers.
Agentic AI adapts to new information and accesses tools used for common tasks. It continues to work until it meets the goals. A task such as preparing a motion for summary judgment on an employment discrimination case requires several different resources and tools:
- Westlaw for primary legal research
- The firm’s document-management system to access drafted and filed briefs
- Filings and litigation records
- Practical Law for expertise and model briefs
By coordinating these diverse tools and resources, agentic AI can deliver a comprehensive work-product draft for review, significantly streamlining the process.
Ultimately, embracing AI means more than adopting new tools. It requires a mindset shift to seeing AI as a collaborative partner in legal work. As firms navigate this transition, those that prioritize thoughtful implementation, professional oversight, and strategic investment will best position themselves to lead the next era of legal innovation.
Chapter Four
Chapter 4: Uncovering AI potentials
Those with a grasp on AI’s potential understand that it’s not static. Each tech generation builds on previous developments. Early AI helped enhance legal research. GenAI built on that and added content creation for drafts, contracts, and client communication. Now, agentic AI plans and processes complex workflows and helps legal professionals manage vast, complex information sets.
Legal research
Agentic AI transforms research by performing sophisticated work that previously required hours of manual labor, including:
- Multistep case analysis. It can formulate a research plan, retrieve relevant case law, compare precedents, and summarize implications while checking in for human validation.
- Statutory interpretation. It can trace legislative history, identify conflicting statutes, and propose interpretations based on jurisdiction.
Document review and analysis
Agentic AI streamlines the heavy lifting of document processing, maintaining accuracy and consistency as it handles:
- Contract risk assessment. It can scan contracts for risk clauses, flag inconsistencies, and suggest revisions based on firm policy.
- Discovery workflows. It can organize, tag, and prioritize documents for review, escalating critical findings to lawyers.
- Motion planning. It can draft outlines for motions, suggest supporting arguments, and identify relevant case law.
- Timeline reconstruction. It can build case timelines from disparate documents, emails, and transcripts.
Transactional work
Agentic AI can help legal professionals improve the efficiency of complex transactions, focusing on vital tasks like:
- Deal structuring. It can compare deal templates, propose structures, and flag compliance issues.
- Due diligence. It can automate checklist creation, document tracking, and issue escalation.
Efficiency gains from strategic AI adoption free up valuable time, allowing lawyers to focus on higher-value work that directly contributes to revenue growth. The report data shows lawyers expect to save 240 hours per year with AI, worth $19,000 per person. Highly innovative firms may unlock as much as $53,000 in value per lawyer.
But AI’s bonus value lies in improving lawyers’ lives. When asked how they’d use the saved hours, 24% prioritized better work-life balance over strategic planning or business development. By streamlining repetitive tasks, AI helps reduce burnout — especially for junior lawyers — and frees senior professionals to focus on client advisory and growth.
Chapter Five
Chapter 5: Strategic AI integration
Once a law firm commits to adopting AI technology, the next critical phase is strategic integration — ensuring the tools are used consistently and effectively across the organization.
Success depends on two essential factors. First, buy-in across the firm is vital. From senior partners to law clerks, every team member needs to understand the value of AI and feel confident using it.
Second, the firm must seamlessly embed AI into its existing tech stack to avoid delays, confusion, or disruption to daily workflows. However, integration poses logistical challenges. Many firms operate on legacy systems built over the years by their tech teams. That’s why IT involvement from the outset is essential. Teams need clarity on how AI functions, what resources it demands, its security protocols, and how it fits into current infrastructure.
Without both technical alignment and cultural adoption, even the most powerful tools face underperformance.
This seven-step framework can help integrate AI into a firm’s workflow.
1. Align AI strategy with the firm’s overall strategy
Nearly half of surveyed firms prioritize revenue growth, yet many AI strategies focus narrowly on operational efficiency. To unlock real value, AI initiatives must directly support broader firm goals.
Recommended action
Define clear, measurable objectives, such as boosting revenue or improving client retention by a set percentage over time. Plan how to reinvest time saved through AI into high-impact activities like business development, client engagement, or expanding into new practice areas. Lawyer well-being is also a meaningful outcome.
2. Establish clear AI objectives
Firms should translate broad strategic aims into specific, measurable, achievable, relevant, and time-bound (SMART) AI goals. For example, if a firm wants to enter the cannabis law sector, an AI objective might be deploying a market intelligence tool to track key players and regulatory changes.
Recommended action
Invite input across the firm to identify where AI can support strategic goals. Track adoption pace and measure impact as engagement unfolds.
3. Prioritize and pilot
Focus on two to three high-feasibility pilot projects within practice areas. Embedding AI tools into real workflows builds credibility, reveals practical lessons, and accelerates broader adoption.
Recommended action
Treat early wins as momentum builders and communicate their success; experimentation is essential to moving the roadmap forward.
4. Establish strong governance and ethical frameworks
Designate AI leadership and create policies around data privacy, responsible use, and client transparency.
Recommended action
Implement an approval process for new AI tools and use cases to ensure ethical standards and strategic alignment.
5. Invest in talent and training
AI is only as effective as those using it. Identify skill gaps and train lawyers and staff not just in how to use AI, but also how to critically assess its output.
Recommended action
Foster a culture of curiosity and responsible experimentation. Communicate openly about AI’s role and benefits to align the entire firm around shared goals.
6. Create a data strategy
AI hinges on high-quality data. Firms must manage, secure, and ethically leverage both external and internal data sources.
Recommended action
Build a comprehensive data strategy that includes client data, third-party sources, and the firm’s own legal knowledge and casework.
7. Measure, iterate, and adapt
Each firm needs to learn and hone the use of AI. Defined key performance indicators (KPIs) can track AI’s impact against strategic goals. Regularly reassess the firm’s roadmap to incorporate lessons and respond to evolving technologies.
Recommended action
Monitor both leading and lagging indicators, and be ready to refine the strategy as AI capabilities grow.
Strategic integration isn’t just a technical milestone; it’s an ongoing cultural transformation. With the right strategy, AI can elevate legal work while preserving the rigor, ethics, and excellence that define the profession.
Chapter Six
Chapter 6: The future of legal work
GenAI and even agentic AI are no longer distant developments. Yet despite widespread adoption across many sectors, most law firms remain in the early stages of meaningful integration. This disconnect between industry momentum and firm-level change is becoming increasingly visible — especially to clients.
Report data shows that 55% of corporate legal departments have already invested in AI tools, compared to just 40% of law firms. Experts say that modern clients expect their outside counsel to match their pace. “They want their litigators and transactional attorneys to put critical thinking on top of the AI output,” says Zach Warren. “They always want their work to be done cheaper, faster, and better. As a result, technology starts to become a differentiator.”
From an internal perspective, junior lawyers traditionally build their careers through repetitive, time-consuming tasks. But GenAI is automating much of this baseline work, prompting firms to rethink how they develop entry-level talent. Agentic AI, which can reason, plan, and execute multistep tasks, accelerates this shift. Associates are now stepping into higher-value roles earlier, validating AI output, applying legal judgment, and contributing to strategy. This evolution opens the door to leaner, more agile service models.
Invest in the right AI solution today
For decades, many firms viewed technology as peripheral — useful, but not central to legal practice. That mindset is no longer sustainable, and equipping lawyers with AI tools is just the start. Firms need to reconsider how they structure work, allocate resources, and measure impact. The traditional associate model is being disrupted, and firms that don’t adapt may struggle to develop the next generation of leaders.
AI has become a competitive advantage. To stay marketable, law firms must empower their lawyers now. Waiting for clearer standards or more mature tools may leave them behind. Solutions like Thomson Reuters CoCounsel Legal offer a practical path forward, helping firms integrate AI into daily operations. To get started, request a free demo of CoCounsel Legal.
