An AI-driven multi-step legal process — such as intake to routing to drafting — that executes autonomously across defined stages without per-step human prompting.
Last reviewed: 2026/05/18
A quantitative measure of how often an AI system produces correct outputs on a defined test set — critical for evaluating legal AI tools where errors carry professional responsibility risk.
Tech / ModelA standardized documentation artifact describing an AI model's intended use, performance characteristics, limitations, and training data — essential for legal AI vendor due diligence.
Tech / ModelA standardized evaluation measuring an AI system's accuracy, reliability, or performance on defined legal tasks — used to compare tools and validate fitness for professional use.
Tech / ModelAn AI architecture combining a language model with a retrieval system that fetches relevant documents at query time, grounding responses in authoritative source material to reduce hallucination.
The most expensive legal AI in the market — Am Law 100 firms only.
Thomson Reuters' GPT-backed legal research and drafting with Westlaw integration (relaunched as CoCounsel Legal, 2025).
Purpose-built US legal AI covering research, drafting, and compliance.
Move from this definition to role-based legal AI shortlists and the selection criteria that matter for each type of legal team.
Am Law 200 and global firm workflows: accuracy at scale, security compliance, and matter-level auditability.
60 legal AI tools vetted for the solo lawyer: tight budget, no IT team, billable-hours pressure.
Last reviewed: 2026/05/18. Definitions are written by the LawyerAI Editorial team. Commercial relationships are disclosed and do not determine editorial scores or conclusions. See our Sponsorship & Affiliate Disclosure.
An agentic workflow is a sequence of AI-executed tasks that proceeds through multiple defined stages — such as client intake, matter classification, document retrieval, and draft generation — without requiring a human to manually trigger each step. Unlike single-turn AI interactions, agentic systems maintain state across steps, make conditional decisions, and can invoke external tools or databases. The term "agentic" reflects the AI's capacity to act as an autonomous agent within bounded parameters set by the deploying organization.
Agentic workflows can compress the time required to complete multi-step legal tasks from hours to minutes, particularly in high-volume practice areas such as contract review, discovery, and regulatory monitoring. For law firms, this shifts lawyer time toward judgment-intensive work rather than procedural coordination. It also introduces new supervisory obligations — lawyers remain responsible for outputs produced by AI agents operating on their behalf.