Legal Intelligence

Connect Unstructured Data to Your Legal Intelligence Products, 90% Faster

For intelligence teams that drive insights for lawyers and business leaders in their firm, Datastreamer saves you months of engineering work when integrating external data suppliers, so you can focus on ROI instead of ETL.

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Legal Intelligence

Law firms build products
on web data.

We help legal intelligence teams build products across legal research, market intelligence, and competitive intelligence.

Legal Research
Federated queries for research gathering
An intelligence team looking to streamline the research process may want to build a custom search interface that pulls from different legal sites, web data aggregators, and databases to extract relevant information for case strategy.
Market Intelligence
Real-time monitoring for market intelligence
An intelligence team might aim to proactively feed opportunities for business leaders to pursue by developing an automated alert system that notifies the firm of changes to tax regulation, corporate scandals, or M&A activity to ensure prompt awareness of market triggers.
Competitive Intelligence
Real-time monitoring for competitive intelligence
An intelligence team aiming to enhance competitive intelligence might seek to develop a monitoring system that continuously tracks competitor activities across multiple online platforms, including legal news sites, social media, and court record databases.
The Challenge

Integrating external unstructured
data is slow and expensive.

720+
Hours of engineering time it can take to build pipelines for each unstructured data source.
Lack of standardization
Different sources deliver data in diverse formats. Unifying structures through custom scripts and manual normalization drains engineering time.
A need for contextual understanding
Unstructured text requires NLP or other ML models to refine data for faster extraction, or expand insights with added context in the metadata.
Upfront infrastructure costs
Integrating massive real-time data streams takes weeks of work from technical teams, leading to a piled-up backlog of integration efforts.
Continuous API and pipeline maintenance
Sustaining pipelines that channel data into your product requires constant maintenance and heavy infrastructure to support.
The Solution

We handle the pipelines,
you focus on product.

Datastreamer pulls unstructured data from different sources and delivers it to your products in the structured format you need.

Unify your unstructured data
Real-time conversion of incoming data to a standard schema. The platform handles various data types including text, PDFs, CSVs, and more to keep content consistent.
Integrate external data in minutes
Pre-built connectors for select partners take minutes to integrate with zero maintenance required. Plug any data supplier or API feed into the platform.
Enrich data with NLP or LLMs
Capture contextual understanding and nuances in language for more accurate insights. Instantly apply pre-integrated AI models, or push data to other models.
FAQ

Frequently asked questions

What does Datastreamer do for legal intelligence teams?

Datastreamer builds and runs the data pipelines that connect unstructured web and legal data to your intelligence products. It pulls data from different sources, converts it to a standard schema in real time, and delivers it to your products in the structured format you need. This saves your team months of engineering work so you can focus on legal research, market intelligence, and competitive intelligence instead of ETL.

How does data get into and out of the platform?

Data comes in through managed Data Streams that ingest from web and social sources, legal sites, and data aggregators, with pre-built connectors for select partners that take minutes to integrate. For advanced needs, Direct Integrations let you connect a supplier using your own API keys. On the way out, the platform delivers the enriched, structured data to your own products and destinations.

What enrichments can be applied to the data?

You can enrich incoming data with NLP or LLM models to capture contextual understanding and nuances in language for more accurate insights. Apply pre-integrated AI models directly in the pipeline, or push data out to other models you prefer. The platform also normalizes varied data types, including text, PDFs, and CSVs, into one consistent schema.

How does pricing work?

Pricing is usage-based, so you pay for the data volume you actually process rather than fixed upfront infrastructure costs. The right pipeline depends on your sources, enrichments, and destinations, so the best next step is to talk to our team. Talk to sales and we will help you design a pipeline and pricing that fit your use case.

Get Started

Focus on insights, not ETL.

Talk to our team about connecting external suppliers to your legal intelligence products. We'll help you design the right pipeline for your use case.

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Used by market-leading intelligence platforms. Supported by a dedicated success team.