Use-case library Legal Services

Legal Services

12 documented use cases: 5 quick wins, 4 medium-term, 3 transformational. Start at the top of the first band; do not start a transformational case as your first project.

Quick win · 5

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AI-Assisted Legal Research

How it works: Before AI: Lawyer spends 3-5 hours searching case databases, reading full judgments, cross-referencing statutes, and compiling research memos. After AI: Lawyer queries CoCounsel or Lexis+ AI with a natural language question, receives a synthesised research summary with cited authorities in 15-30 minutes, then spends 1-2 hours verifying citations and refining analysis.
Impact: 60-70% reduction in initial research time. A&O Shearman processed over 40,000 research queries during trial period. LawNet 4.0 serves 10,000+ Singapore legal professionals.
Tools: Thomson Reuters CoCounselLexisNexis Lexis+ AIHarvey AILawNet 4.0 GPT-Legal (Singapore)
Roles touched: operations

Meeting and Deposition Summarisation

How it works: Before AI: Associate manually reviews 3-hour deposition transcript or meeting recording and produces a summary in 4-6 hours. After AI: Recording is transcribed by an AI transcription service (or built into a video-conferencing platform), then summarised with key points, action items, and follow-ups in minutes. Human reviews and refines in 30-60 minutes.
Impact: 80-90% reduction in summarisation time. The time saving matters most for firms handling high-volume depositions or multi-party negotiations.
Tools: AI assistant integrated into a video-conferencing platformAI transcription serviceAI meeting notes assistantAI meeting summary companion
Roles touched: admin

First-Draft Correspondence and Standard Documents

How it works: Before AI: Lawyer or legal secretary drafts routine letters, engagement letters, NDAs, and standard notices from templates, spending 30-60 minutes per document. After AI: Lawyer prompts an AI assistant with key parameters (parties, terms, jurisdiction), the assistant generates a first draft in 2-5 minutes, and a human reviews and customises in 15-20 minutes.
Impact: 50-70% reduction in drafting time for routine documents. A large law firm reported significant time reduction for drafting minutes and pleadings after deploying an AI assistant.
Tools: AI writing assistantlegal document drafting platformconversational AI assistantcontract drafting assistant
Roles touched: operationsadmin

Email Triage and Prioritisation

How it works: Before AI: Lawyers manually review 100-200+ emails daily, spending 1-2 hours sorting, prioritising, and flagging action items. After AI: AI categorises incoming emails by urgency, client matter, required action, and deadline, presenting a prioritised dashboard. Human reviews categorisation and acts on priorities.
Impact: 30-45 minutes saved daily per professional. Reduces risk of missed deadlines or overlooked client communications.
Tools: AI email assistantAI assistant for a cloud office suiteAI-native email client
Roles touched: admin

Clause Extraction and Contract Comparison

How it works: Before AI: Junior associate manually reads through two versions of a contract, creates a comparison table of key clause differences in 4-8 hours. After AI: AI tool ingests both documents, extracts key clauses, highlights differences, and generates a comparison summary in minutes. Human reviews in 1-2 hours.
Impact: 70-80% reduction in contract comparison time. Particularly valuable for M&A due diligence involving hundreds of contracts.
Tools: Ironclad AILuminanceKira SystemsDocuSign CLM AI
Roles touched: operations

Medium-term · 4

Needs data plumbing and integration, a quarter or two.

AI-Powered Due Diligence Platform

How it works: Deploy an enterprise AI platform that ingests entire data rooms (hundreds to thousands of documents), classifies documents by type, extracts key provisions, flags risk items, and generates structured due diligence reports. Lawyers review AI-flagged items and exceptions rather than reading every document.
Impact: 40-60% reduction in due diligence timelines. Enables firms to handle larger transactions with existing headcount. Improves consistency and reduces risk of missing key provisions in large document sets.
Tools: Harvey AILuminanceKira SystemsEigen Technologies
Roles touched: operationsit

Automated Regulatory Compliance Monitoring

How it works: AI continuously monitors regulatory publications across relevant jurisdictions, identifies changes that affect specific client matters or practice areas, generates alerts with plain-language summaries, and drafts preliminary impact assessments. Lawyers review alerts and provide strategic advice to affected clients.
Impact: Near-real-time regulatory awareness versus weekly or monthly manual reviews. Enables proactive client advisory rather than reactive compliance. Baker McKenzie’s BakerML reduced regulatory advisory timelines from days to hours for data breach notifications.
Tools: LEGALFLYCompliance.aiThomson Reuters Regulatory IntelligenceCube
Roles touched: adminleadership

Contract Lifecycle Management with AI Review

How it works: Implement end-to-end contract management platform where AI assists at every stage: drafting (generating first drafts from templates and parameters), negotiation (suggesting redline alternatives and flagging unusual terms), execution (managing approval workflows), and post-execution (monitoring obligations, deadlines, and renewal dates).
Impact: 30-50% reduction in contract cycle time. Improved consistency across firm templates. Reduced risk of missed obligations or renewal deadlines. Enables in-house legal teams to manage higher contract volumes without proportional headcount increase.
Tools: IroncladDocuSign CLMAgiloftIcertis
Roles touched: operationsadmin

Knowledge Management and Institutional Memory AI

How it works: Deploy AI that indexes the firm’s entire knowledge base, precedent documents, internal memos, training materials, practice guides, and makes it searchable via natural language queries. Lawyers can ask 'What is our standard position on limitation of liability for Singapore technology services agreements?' and receive synthesised answers drawing on firm precedents.
Impact: Transforms institutional knowledge from siloed and inaccessible to universally available. Reduces knowledge loss when senior lawyers depart. Enables consistent quality across offices and practice groups. Particularly valuable for multi-office firms where knowledge sharing historically relied on personal networks.
Tools: Harvey AI (custom knowledge bases)EudiaNetDocuments AIiManage Knowledge
Roles touched: itadmin

Transformational · 3

Restructures how the business works, years, and not a first project.

Agentic AI Legal Workflows

How it works: Deploy AI agents that autonomously execute multi-step legal workflows: an agent receives a trigger (e.g., new matter opening), creates a research plan, executes the research, drafts preliminary analysis, identifies required documents, generates first-draft documents, and presents the assembled work product for human review, all without step-by-step human prompting. Unlike generative AI that responds to single prompts, agentic systems plan, execute, self-evaluate, and adjust.
Impact: Potential 3-5x productivity multiplier for routine legal workflows. Transforms the lawyer’s role from 'doing the work' to 'reviewing the agent’s work.' Enables firms to handle significantly larger matter volumes with existing teams. Thomson Reuters describes this as moving from 'interesting tool' to 'operational infrastructure.'
Tools: Thomson Reuters CoCounsel Legal (agentic workflows)Harvey AI (agentic capabilities)Custom-built agentic systems
Roles touched: leadershipit

AI-First Legal Service Delivery Model

How it works: Fundamentally redesign the firm’s service delivery model around AI capabilities: replace the traditional pyramid (many juniors, fewer seniors) with an 'hourglass' model (AI handles junior-level tasks, a lean team of mid-level lawyers manages AI output, and senior lawyers provide strategic judgment). Move from billable hours to value-based pricing enabled by AI efficiency. Productise AI-enhanced legal services for recurring client needs.
Impact: Complete transformation of firm economics, talent model, and client relationships. A&O Shearman’s productisation of AI tools, selling AI-enhanced services to clients and competitors, demonstrates the revenue model potential. Requires fundamental rethinking of partnership economics, compensation structures, and career progression.
Tools: Firm-wide AI platform integrationCustom pricing modelsAI-enhanced client portals
Roles touched: leadership

Predictive Legal Analytics and Outcome Modelling

How it works: Deploy AI systems that analyse historical case data, judicial patterns, settlement outcomes, and regulatory enforcement trends to predict the likely outcome of legal matters. Lawyers use these predictions to advise clients on litigation strategy, settlement timing, and risk allocation. Over time, the system learns from the firm’s own matter outcomes to improve accuracy.
Impact: Transforms legal advisory from opinion-based to data-informed. Enables more accurate budgeting and risk assessment for clients. Creates competitive advantage for firms that can demonstrate predictive accuracy. The gains matter most in high-volume litigation practices and regulatory enforcement defence.
Tools: Lex Machina (LexisNexis)PremonitionSolomonicCustom analytics platforms
Roles touched: leadershipit

Ready to pick yours? Lesson eleven of the course walks the selection method step by step.

Pick one real bottleneck