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The adoption of AI for legal work is no longer experimental. Nearly 79 percent of law firms now use AI in some capacity, and according to Thomson Reuters' 2025 Future of Professionals Report, effective use can free up nearly 240 hours of manual work per professional every year, roughly six weeks.
Artificial Intelligence (AI) broadly refers to the imitation of human intelligence by machines. Three concepts matter most for lawyers:
Generative AI uses self-learning algorithms to create text, images or other output in response to prompts. ChatGPT and Claude are the most recognizable examples. Feed a 100-page document into one and get a summary in minutes instead of the roughly 3 hours it would take manually.
Machine Learning (ML) is how systems continuously learn from data, allowing legal AI tools to identify patterns and improve over time as they process more contracts and case data.
Natural Language Processing (NLP) is what lets AI understand and respond to human language meaningfully, powering the ability to "chat" about legal concepts or documents.
Legal research. 53 percent of legal professionals use AI to search databases, identify case law and answer research queries faster than manual searching allows.
Contract review. 34 percent use AI to analyze documents at scale, flagging risk and checking compliance against a company's playbook. See our guide to AI contract review for more.
Summarizing information. 42 percent use AI to distill long email threads or dense regulatory filings into key points instantly.
Contract drafting. 62 percent of legal professionals say drafting and editing make up half their contract management work. AI tools generate comprehensive drafts significantly faster than starting from scratch.
E-discovery. AI speeds up digital investigation across emails, documents and other channels, pinpointing relevant evidence far faster than manual review.
Also Read: LLM prompting for lawyers: a practical guide with 30 examples
Different tools solve different problems, so the right one depends on what you're trying to fix.
SpotDraft AI is built specifically for contract lifecycle management. DraftMate generates standard contract templates in minutes, and VerifAI acts as a review assistant, letting you ask conversational questions about a contract and checking it against your custom playbook. Smart Data Capture extracts key contract data automatically, cutting down manual entry.
Harvey AI focuses on legal research and drafting workflows built specifically around law firm practice, with strong integration into litigation and transactional work.
Spellbook works as a Word add-in for contract drafting, generating and reviewing clauses directly inside the documents lawyers already use.
General-purpose assistants like Claude and ChatGPT handle broader tasks, from summarization to drafting, but lack the contract-specific playbook enforcement and CLM integration that purpose-built legal tools offer.
Lexis+ is a legal research assistant with a large database and features like Pinpoint for narrowing search results and conversational search for complex queries.
Brainspace uses ML and visual analytics for e-discovery, scanning large volumes of electronic evidence and grouping related information for faster review.
Also read: top AI tools for in-house legal teams
Fewer errors. Well-trained AI systems don't share human cognitive limitations like fatigue.
More work in less time. 71 percent of legal professionals cite faster delivery as the biggest benefit of using AI.
Extra bandwidth. Thomson Reuters estimates roughly 4 additional hours freed up per week, adding up to 200 hours a year for a typical work schedule.
Reduced costs. 25 percent of legal professionals report AI has already reduced operational costs, with many more optimistic about future savings.
Bias. AI reflects whatever is in its training data, so auditing tools against real scenarios before onboarding matters.
Data privacy. 70 percent of legal leaders worry about sensitive data exposure. Anonymizing prompts before submitting them is a practical safeguard.
Hallucination. AI can present false information confidently. Human oversight remains essential, and having a documented AI use policy helps set clear expectations for your team.
IP ownership. Ownership of AI-generated content is still legally unsettled, and it's worth staying current as regulations evolve.
See our broader framework for selecting and managing AI tools for a deeper look at this process.
The legal profession is experiencing a real shift, and lawyers who embrace AI thoughtfully are the ones staying competitive. SpotDraft is an AI-powered CLM built to help legal teams close deals significantly faster. Get a demo tailored to your team.
