Reducto is the agentic document platform built to unlock the data trapped inside real-world documents -- the roughly 80% of enterprise information sitting in PDFs, scans, contracts, and spreadsheets that no LLM or workflow can use until it's parsed correctly. For legal teams, that unstructured data is the business: dense M&A agreements, discovery productions, NDAs, filings, and privileged correspondence that must be read, understood, and cited with precision.
Founded by Adit Abraham and Raunak Chowdhuri, Reducto grew out of a simple frustration: traditional OCR and extraction tools broke down on the visually complex documents that make up most real business paperwork: multi-column layouts, nested tables, redlines, exhibits, schedules. The founders set out to build a parsing engine that treats documents as more than plain text, blending computer vision with vision-language models to preserve structure and meaning, not just characters.
That approach has made Reducto the ingestion layer of choice for legal AI leaders including Harvey, Legora, August, and Supio, alongside the biggest global enterprises spanning finance, insurance, and a Fortune 10 company. Backed by $108M in funding from a16z, Benchmark, First Round Capital, and Y Combinator, Reducto has processed more than 4 billion pages for production AI systems.
What sets Reducto apart for legal use cases:
- page- and line-level citations on every extraction, so outputs are defensible in review.
- context-preserving parsing that keeps clause boundaries, definitions, and cross-references intact across attachments and exhibits.
- agentic OCR that recovers text from low-quality scans.
- SOC 2/HIPAA-compliant infrastructure built for privileged, confidential material.
For legal teams and legal tech builders, Reducto powers:
At ILTACON 2026, Reducto is showcasing how legal AI teams, from litigation support platforms to in-house innovation groups, use accurate document intelligence as the foundation for everything they build on top of it.