— LEGAL DOCUMENT DATA INFRASTRUCTURE

Built for the moments when
"close enough"
is not good enough

Deal documents contain the most consequential data in your organization. Syntheia turns them into structured, reliable, provision-level data for law firms and legal technology companies.

8 years

Building extraction technology

AmLaw 100

Firms use Syntheia products

depth

Hierarchical nested textblocks

SOC 2

And ISO 27001 certified

— THE PROBLEM

Legal documents have structure that matters.

Most tools lose it.

A limitation of liability clause in a 2019 PDF looks nothing like the same clause in a 2024 Word document. Section 4.2(a)(i) in one agreement might be buried inside a definition that cross-references a schedule in another.

Standard extraction tools flatten this. They pull text but lose the hierarchy. They cannot tell you where an obligation lives, what it qualifies, or what qualifies it. The data they return is unreliable at the provision level — which is the only level that matters.

Structure is not a formatting detail. In a legal document, it is meaning. Lose the hierarchy and you lose the ability to compare, verify, or build anything reliable on top.

This is the problem we solved first, before building anything else.

Agreement_v3_FINAL.pdf structured data ✓
4.Limitation of Liability 4.1Aggregate liability cap 4.1(a)Direct losses — twelve months fees 4.1(a)(i)Subject to clause 4.1(b) exceptions 4.1(a)(ii)Excluding consequential loss 4.1(b)Uncapped carve-outs 4.1(b)(i)Death or personal injury 4.1(b)(ii)Fraud or wilful misconduct 4.1(b)(iii)IP indemnities — see Sch. 2 4.2Mutual application
Provision-level data · Source attributed · Hierarchy intact

— OUR TECHNOLOGY

Hierarchical text extraction. Reliable data. Across every format.

The actual clause. From the actual document. The data that was agreed — not what a model thinks was agreed.

Syntheia decomposes legal documents into structured, nested, source-attributed textblocks — preserving the full hierarchical depth of the original, regardless of format.

PDFs. Word documents. Scanned agreements. Inconsistent formatting. Cross-referencing definitions. Schedules incorporated by reference. We handle the full chaos of how real deal documents look, and return structured data you can trust.

The data is not a summary. It is not a generative model's inference of what the document probably says. It is the actual text, at the actual provision level, with the actual source attached — every clause traceable back to the document it came from.

This is genuinely hard to do reliably across formats at scale. It is what five years of focused infrastructure work produces.

Request API Documentation

— PRODUCTS

We build on our own data infrastructure. Creating tools that were once impossible.

Our products are proof that the extraction quality is good enough for the very best — deployed at AmLaw 100 firms, award-winning, integrated where lawyers already work.

SUPERCOMPARER.COM

Super Comparer

From 2 to 100 documents, see every difference at the provision level — in Word, without leaving the workflow lawyers already use. When a third-party draft arrives, Super Comparer surfaces your firm's closest precedent from its actual executed agreements and shows exactly how the incoming clause differs. Not inferred market data. The real clause data, with the source.

✓ Includes Smart Drafter — clause-level precedent search

✓ Native Microsoft Word integration

✓ AmLaw 100 deployed · Award-winning

FUNDCURATOR.COM

Fund Curator

Purpose-built for private funds. Fund Curator turns side letters, MFN elections, and LP provisions into structured, searchable data across your entire investor base. A single misread clause creates liability at scale. Fund Curator ensures every obligation is traceable to its source — not inferred, not summarised, extracted.

✓ Side letters · MFN elections · LP provisions

✓ Provision-level data across entire investor base

✓ Built for in-house teams at private funds

— INFRASTRUCTURE & API

The provisions data layer. Ready for use.

If you are building legal technology, you depend on reliable data from legal documents. Most products in this category generate that data through AI inference — the model reads the document and produces a probabilistic output of what it says.

Approximation is the wrong foundation for high-stakes legal work. Syntheia's extraction produces structured, hierarchical, source-attributed provision data — not a probabilistic approximation of it. The difference matters at scale.

We work with legaltech companies and sophisticated law firms who want reliable legal document data underneath their products and workflows — the extraction layer they would have had to build themselves.

Your product stack Responsibility
01 User interface Client
02 Application logic Client
03 Generative intelligence LLM Provider
04 Hierarchical provision-level data Syntheia
05 Raw documents (PDF / DOC / DOCX) Lawyer
// What the API returns { clause_id: "4.1(b)(iii)", text: "IP indemnities — see Schedule 2", depth: 4, parent: "4.1(b)", source_doc: "Agreement_v3.pdf", page: 14, cross_refs: ["Schedule 2, §3.1"] }

— WHO WE WORK WITH

Where reliability matters. Where quality matters.

01 / 03

Law firm innovation and KM teams

Your lawyers are using AI tools that produce output you cannot trace. You need reliable document data with a clear chain back to source — without building a new workflow from scratch.

02 / 03

Legaltech CPOs and engineering leads

Your product depends on accurate data from legal documents. You need to ship, fast. Building reliable hierarchical extraction takes years. We built it. It is available as an API today.

03 / 03

Partners and general counsels

You are negotiating high-stakes deals, and your team cannot afford to the risk of a single data error in the documents. Spot risky and non-standard terms before you sign.

— THINKING

Ideas that Shape the Future

Technology should do more than power products. In our blog and in our podcast, we share what we are learning alongside our customers to help shape a smarter, better future for everyone’s legal practice.

Read our latest blog post here:

Further Comments is a podcast hosted by Damien Riehl and Horace Wu that brings together industry leaders and forward-thinkers to discuss how technology is reshaping legal work. Listen for expert insights, candid conversations, and a front-row seat to the future of law.

— GET IN TOUCH

Ready to see what reliable extraction makes possible?

Whether you are evaluating Super Comparer for your firm, building a product that needs a better data foundation, or trying to understand what the infrastructure conversation is about — we are easy to talk to.

HELLO [AT] SYNTHEIA.IO