How AI is transforming legal research for law firms

Legal research has always been fundamental to effective practice. But traditional research is time-intensive, and much of that time goes to finding things rather than thinking about them.

Attorneys search for relevant documents, try different keywords, review lengthy briefs, locate prior arguments, verify sources and organise findings before drafting can even begin. Artificial intelligence is changing that workflow.

Spend less time searching. More time applying legal judgment.

1. Moving beyond traditional keyword search

Traditional search depends on knowing the exact terminology contained in a document. But legal concepts can be expressed in many different ways, and an attorney may know the issue without knowing the words used in a brief written several years earlier.

This helps attorneys discover valuable prior work that keyword searches may overlook.

2. Search across the firm’s existing knowledge

Firms and legal departments accumulate significant institutional knowledge over time:

• Prior briefs
• Legal arguments
• Case documents
• Research
• Opinions
• Supporting authorities
• Internal legal knowledge

The problem is that valuable information becomes buried inside thousands of documents. LexGeni helps make that knowledge searchable, so the repository becomes an intelligent legal knowledge base.

3. Find relevant arguments faster

Attorneys frequently need more than a relevant document. They need the specific argument inside the document. LexGeni supports argument-focused search, prioritising substantive legal reasoning rather than requiring a manual read of every section of every retrieved brief.

4. Research using facts, not just legal terms

Sometimes research begins with a factual scenario rather than a doctrine. Factual-scenario search lets attorneys describe the circumstances of a matter and look for similar work within their repository.

Have we handled something similar before?

5. Grounded answers with supporting sources

Generating an answer quickly is not enough for professional legal research. Attorneys need to verify the information against its source, so responses are connected to the supporting documents they came from.

6. Move from the answer back to the document

A major source of inefficiency is finding useful information and then having to locate the original passage manually. Source-document linking removes that step.

Do not just tell the attorney what was found. Help the attorney see where it was found.

7. Continue research through conversation

Legal research rarely ends after the first query. Conversational follow-up lets attorneys refine progressively rather than starting again each time:

• Find briefs discussing this issue.
• Which arguments appear most relevant?
• Show me the supporting sections.
• What counterarguments have appeared in similar matters?

8. Analyse opposing arguments

AI-powered research can also assist when analysing an opposing brief, helping identify key arguments and search existing knowledge for relevant prior reasoning.

9. Connect research with drafting

Traditionally attorneys research, organise findings, identify supporting materials, and then begin drafting separately. Legal AI can connect these activities.

AI provides the starting point. Attorneys provide the judgment.

What this could mean for efficiency

Consider an attorney who spends 20 hours a week across research-intensive activities. If AI-assisted workflows reduce that by 30 percent, it would represent roughly:

The opportunity is not simply to make attorneys work faster. It is to shift more of their time toward legal analysis, case strategy, client service, negotiation, advocacy and professional judgment.

The 30 percent efficiency example is illustrative and is not a guaranteed LexGeni performance result. Actual time savings depend on the organisation’s existing workflow, document repository, use case, implementation and adoption. Organisations should establish baseline measurements and evaluate actual improvements after deployment.