RAG-Powered Knowledge Assistant for Legal Research
A retrieval-augmented assistant that lets lawyers search their firm's document corpus with citations.
Representative scenario based on the kinds of projects AWZ handles. Client names and proof are private. Targets are agreed and measured per project — published figures are not audited outcomes.
Representative client profile
Legal client
Understanding the Problem
A legal team spent significant time searching many case files, contracts, and precedents stored without a unified search layer.
How We Solved It
We built a retrieval system indexed over the client's approved corpus, with citations and human review before any result is relied upon.
What We Measure
These are the measures we would define and validate with the client. They are not published client results.
Search time
Faster access to indexed material; the improvement depends on corpus size and quality.
Answer quality
LLMs can produce errors; citations and human review are safety controls, not a guarantee of accuracy.
Productivity
Realized when the firm integrates the tool into its research workflow.
Documents indexed
Determined by the client's approved corpus; we index what is provided.
Technologies Used
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