AI-Powered Document Search Platform
A platform that uses LLMs to search, summarise and extract insights from large document repositories — built for a legal team that was spending hours finding the right clause.
- Year
- 2025
- Engagement
- AI search platform, end to end
- Focus
- Generative AI, AI/ML
- Status
- Delivered
01 — The problem
Thousands of contracts and filings, searchable only by exact keyword. Lawyers knew what they were looking for but not the words it was written in, so research meant opening document after document.
02 — Our solution
Hybrid search that combines keyword precision with semantic similarity, plus LLM summaries and key-term extraction on every result. Answers link back to the exact passage, so every claim can be checked against the source.
How it works
The pipeline, step by step — from the first input to the final output.
- 01
Ingest
Documents are parsed, chunked and indexed with both keyword and vector representations.
- 02
Hybrid search
Elasticsearch keyword scoring combined with embedding similarity for meaning-based matches.
- 03
Summarise
GPT-4o summarises results and extracts parties, dates and obligations.
- 04
Cite
Every answer links to the passage it came from, with access controls per matter.
What we built
The outcomes
01
80% reduction in document review time
02
Improved accuracy of legal research
03
Secure, matter-level access controls
Challenges we solved
Trust needs citations
Legal users won't accept an answer they can't verify, so every summary is grounded in and linked to its source text.
Technology stack
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