Legal is one of the fastest-moving industries when it comes to AI adoption - and the upside is obvious: less admin, faster turnaround, and better risk control.
Yet as AI accelerates, the firms winning aren't the ones with the most tools. They're the ones using legal AI in the right places, with the right guardrails, to remove friction from the workflow.
According to Thomson Reuters, active GenAI integration in legal organisations rose from 14% in 2024 to 26% in 2025, with 45% of firms planning to make it central to their workflow within a year. And firms with a formal AI strategy are 3.9 times more likely to see tangible returns than those adopting it informally.
Below are the 9 highest-impact ways we're seeing AI in legal being used today, and what to prioritise first if you're getting started.
Key Takeaways
- GenAI integration in legal rose from 14% to 26% in a single year; 45% of firms plan to make it central within 12 months (Thomson Reuters, 2025)
- Firms with a formal AI strategy are 3.9x more likely to see ROI than those without (Thomson Reuters / Georgetown Law, 2026)
- Harvard research found AI cut associate response time from 16 hours to 3-4 minutes on complaint drafting
- 65% of legal professionals using AI save 1-5 hours per week; 61% report firm-wide efficiency gains (Federal Bar Association, 2025)
- The biggest unlock isn't the AI tool itself — it's connecting AI workflows to your comms and client interaction stack
Why AI in Legal Is Accelerating So Fast
Legal work is full of high-value activity that's often slowed down by repeatable tasks: scanning documents, checking clauses, finding precedent, tagging data, summarising calls, organising case files. That's exactly where AI shines.
The opportunity isn't replacing expertise. It's freeing people up to use it where it matters most. 60% of lawyers now say AI is a must for their practice, and 95% believe it will be central to their workflows within five years. The question is no longer whether to adopt — it's where to start.
The 9 Highest-Impact Legal AI Use Cases
1. Document Review and Analysis
This is one of the clearest wins for AI legal tools. AI can review contracts in minutes, flagging missing clauses, inconsistencies, risk markers, and unusual wording or deviations from standard terms. Instead of spending hours working through agreements line by line, teams use AI to surface the issues, then apply legal judgement where it counts. The impact scales directly with volume: the more contracts, the bigger the return.
2. Legal Research at Speed
One of the most searched questions right now is: what is the best AI for legal research? The honest answer: it depends on your workflows, your sources, and your governance requirements. But the outcome is consistent. AI scans large legal databases and surfaces relevant case law, statutes, regulations, and previous decisions in seconds, improving preparation time and helping teams move faster without cutting corners. Harvard's Center on the Legal Profession found that AI cut associate complaint response time from 16 hours to 3-4 minutes, with "productivity gains greater than 100 times" in initial drafting tasks.
AI works best as a research accelerator, not the final authority. Use it to narrow the field, then validate sources and context.
3. Handling Large Volumes of Legal Data
Legal teams often sit on mountains of information: case notes, emails, evidence files, meeting transcripts, disclosure documents. AI analytics transforms that into something usable by identifying patterns, highlighting anomalies, suggesting likely relevance, and surfacing operational inefficiencies. This is where AI in legal shifts from productivity to strategy, turning data that previously sat idle into competitive intelligence.
4. Contract Lifecycle Management
From drafting to negotiation to renewals, AI can streamline the entire contract lifecycle. It generates standard documents like NDAs, tracks renewal deadlines, flags non-standard terms during negotiation, and identifies where approvals are stuck. It's one of the most practical uses of an AI legal assistant because it improves speed and reduces human error simultaneously. The Federal Bar Association's 2025 survey found 54% of legal professionals already use AI to draft correspondence, with 65% saving between one and five hours per week.
5. Due Diligence
AI automates the heavy lifting in due diligence by scanning large contract sets and flagging compliance risks, unfavourable terms, missing clauses, and data gaps. Instead of teams drowning in manual review, AI surfaces what matters so you can move quickly and confidently. The most common use cases are M&A transactions, vendor reviews, and large portfolio contract analysis — exactly where speed and accuracy matter most.
6. Discovery and Evidence Analysis
In disputes and investigations, discovery is time-consuming and costly. AI-powered discovery tools sift through electronic records and surface the most relevant evidence faster, reducing preparation time, lowering costs, and producing clearer narratives. This is one of the strongest scale benefits of legal AI tools: the bigger the dataset, the bigger the impact.
7. Compliance and Risk Management
Regulation moves fast. Contracts don't update themselves. AI helps legal teams keep pace by scanning agreements for non-compliant clauses, highlighting areas needing remediation, and supporting redrafting with approved language templates. The result is reduced risk, faster governance, and fewer last-minute compliance fire drills — which is especially valuable as regulatory complexity continues to increase.
8. Predictive Analytics and Case Outcome Modelling
Predictive analytics is where AI starts supporting probability-based decisions. By analysing historical case data, AI tools can help estimate likely outcomes, settlement probabilities, risk exposure, and resourcing requirements. It's still developing, but for legal leaders this will become a powerful lever for better forecasting and more confident strategic planning.
9. New Revenue Opportunities
AI enables law firms to develop new revenue streams by packaging repeatable legal support into scalable services. Examples include automated contract checks, self-serve legal triage tools, and AI-powered intake and assessment systems. This is where AI shifts from efficiency to growth, and where forward-thinking firms are starting to differentiate their offering rather than simply reduce their costs.
The Biggest Opportunity: Connect AI Workflows to Comms and CX
Here's the real unlock most businesses miss.
If AI tools sit separately from communications and client interaction workflows, you only get half the benefit. Legal teams don't just work in documents. They work in phone calls, video meetings, client intake conversations, and follow-ups. That means your comms stack needs to support the full journey: capturing insights, reducing admin, improving response time, and maintaining trust and compliance.
This is especially true for conversational intelligence, where client calls become searchable, usable insight rather than lost context. Firms that connect AI workflows to their communications layer aren't just more efficient. They're delivering a noticeably better client experience.
"Fortay walked us through what modern platforms can actually do, translated all the technical jargon into real business value, and completely transformed how we interact with clients." - Ben Hallatt, COO, Ashtons Legal
If you're exploring AI in legal and want to identify the fastest, safest wins, Fortay Connect can review your current setup and recommend practical improvements across AI workflows, client interaction journeys, conversational intelligence, and governance. Get in touch to start the conversation.
FAQs
1. What is the best AI for legal research?
The right tool depends on your workflows, data sources, and governance requirements. The most effective legal AI research tools combine natural language search across case law and statute databases with source validation and citation tracking. The key principle: use AI to narrow the field quickly, then apply legal judgement to validate and contextualise the results.
2. How much time can AI save legal professionals?
According to the Federal Bar Association's 2025 survey, 65% of legal professionals using AI save between one and five hours per week, with 12% saving six to ten hours. Harvard research found AI reduced complaint response time from 16 hours to under four minutes in one documented case, with productivity gains exceeding 100x in initial drafting tasks.
3. Is AI adoption widespread in UK law firms?
Adoption is growing but uneven. Thomson Reuters found active GenAI integration rose from 14% to 26% globally in 2025, with larger firms adopting at roughly double the rate of smaller ones. The firms seeing the strongest ROI are those with a formal AI strategy rather than ad-hoc tool adoption - they're 3.9 times more likely to see tangible returns.
4. Will AI replace lawyers?
No. AI is most effective at automating the repeatable, high-volume tasks that slow lawyers down: document review, research, drafting, data analysis. The work that requires judgement, client relationships, negotiation, and strategic advice remains firmly human. The firms using AI most effectively are growing headcount, not cutting it, because AI makes each lawyer more productive and valuable.
