Use Cases·7 min read

Legal Research AI: Beyond Keyword Search

Legal research with AI should work like this: you ask a question, you get an answer, and every claim in that answer traces to a specific source you can verify. That's what Scrivly does.

This article walks through the actual workflow — from question to cited answer — so you can understand what happens at each step.

The Workflow

You upload your documents. Case files, contracts, briefs, deposition transcripts — Scrivly ingests and indexes everything. Documents are organized by matter, with strict isolation between cases. Files from Matter A never influence answers about Matter B.

You ask a question in plain English. "What are the key terms of the indemnification clause in the Smith agreement?" or "Which cases support our position on the statute of limitations issue?" or "Summarize the deposition testimony about the timeline of events."

Scrivly retrieves relevant sources. The proprietary retrieval system searches your indexed documents and verified case law to find the most relevant sources for your question. This isn't keyword search — it's semantic retrieval that understands legal concepts, not just exact text matches.

Scrivly generates a cited answer. The response includes specific citations to source documents — document name, page, passage. Every factual claim traces to a retrieved source. If the system can't find a verifiable source for a claim, it doesn't include the claim.

You verify and use. Click through to any citation to see the original source in context. Review the AI's work the same way you'd review an associate's research memo — but with the advantage that every citation is already linked to its source.

Why This Matters

The verification step is where most AI tools fail lawyers. A general-purpose AI generates plausible-sounding citations without checking whether they're real. An associate then spends hours verifying — often finding that citations are fabricated or inaccurate. The "time savings" evaporate in verification work.

Scrivly's architecture inverts this. Citation validation happens before output generation, not after. By the time you see the answer, the sources have already been retrieved and verified. Your review is confirmation, not discovery.

What This Looks Like in Practice

A litigation attorney preparing for a deposition uploads all relevant discovery materials. Instead of manually reviewing hundreds of pages, they ask Scrivly: "What did the defendant say about their knowledge of the product defect?" Scrivly retrieves the relevant deposition passages, emails, and internal memos, then generates a summary with citations to each source. The attorney has a research memo in seconds that would have taken hours.

A transactional attorney reviewing a contract portfolio asks: "Which of our vendor agreements have non-compete clauses, and what are their terms?" Scrivly searches the portfolio, identifies the relevant agreements, and presents the answer with citations to specific clause locations.

Frequently Asked Questions

Can Scrivly access case law databases? Scrivly works with your documents and verified case law. It is not a replacement for comprehensive legal research databases like Westlaw, but it delivers cited answers from the materials you provide.

How accurate are Scrivly's citations? Every citation traces to a specific source document. The system does not generate citations it cannot verify.

Can I use Scrivly for legal research instead of Westlaw? Scrivly excels at research within your own document sets and verified case law. For comprehensive published case law research, Westlaw remains the standard. Many firms use both.

Frequently Asked Questions

Traditional search matches keywords. AI search understands meaning and context, finding relevant passages even when they use different terminology.

AI accelerates research and surfaces relevant material faster. Attorneys still validate, analyze, and apply the findings to their specific legal questions.

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