Researches case law and the firm's own work product with citations, drafts research memos, and runs air-gapped so privileged matter stays in the firm.
The Legal Research Agent is an autonomous AI agent that researches a legal question across case law and the firm's own briefs and memos, returning answers grounded in cited authority.
It reasons over the issue, retrieves on-point authority, checks citations, and drafts a research memo — with links back to the source so an attorney can verify everything.
This is not a chatbot that invents citations. It is an active agent that retrieves, verifies, and synthesizes, deployed air-gapped or on-premise so privileged work product never leaves the firm.
A research chatbot returns prose that may cite cases that do not exist. The Legal Research Agent retrieves real authority and the firm's own work product, verifies citations, and drafts a memo grounded in sources — autonomously.
The Legal Research Agent is a true AI agent that goes beyond simple Q&A. It reasons, plans, and executes multi-step workflows autonomously while you retain full code ownership and infrastructure control.
Takes a legal question and retrieves on-point statutes, regulations, and case law from connected research sources.
Expands the query into sub-issues, retrieves authority for each, and assembles the relevant set without an attorney searching manually.
Searches the firm's own briefs, memos, and prior arguments so a first-year can find what the firm has argued before.
Surfaces the firm's most relevant prior work alongside published authority, with links to the source documents.
Checks that cited authority exists, is quoted accurately, and remains good law.
Flags any unverifiable or superseded citation before it reaches a draft, eliminating hallucinated-citation risk.
Synthesizes findings into a structured research memo with a clear answer, supporting authority, and counterarguments.
Drafts the memo with pinpoint citations for the attorney to verify and refine.
Identifies authority on both sides of an issue and the strongest opposing positions.
Builds a balanced view so attorneys see the contrary authority before opposing counsel raises it.
The agent takes the legal issue and jurisdiction, pulling matter context and the firm's relevant prior work.
It breaks the question into sub-issues and retrieves on-point authority from research databases and the firm corpus.
The agent verifies citations, synthesizes the answer with supporting and contrary authority, and drafts the memo.
It confirms authority is still good law and notes anything recently distinguished, reversed, or superseded.
The agent writes the cited memo back to the matter workspace and logs the research to an audit trail.
Cut research time on routine motions and reduced citation errors, with matter context staying in the firm.
Strengthened briefs with comprehensive authority and eliminated bad-citation risk.
Faster, consistent answers grounded in both law and the company's own positions.
Expanded research capacity without adding headcount, on an owned flat-fee platform.
Turned scattered work product into a searchable, citeable knowledge base.
Retrieves and verifies published authority from Westlaw for grounded research and citation checking.
Searches LexisNexis for on-point authority and validates citations against current status.
Searches the firm's briefs, memos, and prior work product stored in iManage with links to source documents.
Indexes and retrieves firm work product from NetDocuments for grounded, citeable answers.
Delivers research memos with pinpoint citations in native Word format.
Associates research with the correct matter for billing and knowledge capture.
You receive the complete codebase. The firm's research infrastructure is yours to audit, modify, and operate permanently.
Deploy entirely within the firm's infrastructure so matter context and work product never leave the firm.
Run on AWS, Azure, Google Cloud, or the firm's own servers. ibl.ai is a certified partner of all three hyperscalers.
Choose and swap the underlying model without rebuilding the research workflow.
No queries or documents are sent to ibl.ai. Every research session is logged to the firm's own immutable audit trail.
Issue-driven retrieval and drafting cut time spent on routine legal research substantially.
Mandatory citation verification removes the risk of hallucinated or superseded authority reaching a draft.
Associates research at the level of a larger team by drawing on the firm's full body of prior work.
Prior briefs and memos become reusable, citeable assets instead of forgotten files.
Enterprise-wide flat-fee licensing eliminates per-seat legal-AI pricing.
See how ibl.ai deploys autonomous AI agents you own and control — on your infrastructure, integrated with your systems.