Legal and Law Firms

Structured Financial and Regulatory Data for Legal Research and Due Diligence

Corporate law teams, litigation practices, and compliance counsel use DataDock to access structured public filings, ownership records, regulatory disclosures, and entity relationship data. Replace manual document review with queryable, enriched data that supports faster, more defensible legal work.

35M+

Regulatory filings indexed and structured for query

Real-Time

Filing and disclosure updates as they are published

Full

Data lineage and audit trail on every record returned

Built for Legal Professionals

The data layer that serious legal work demands

Legal teams spend significant time locating, reviewing, and cross-referencing public records that are already available but poorly structured. DataDock surfaces that information in a queryable, enriched format that fits directly into research, due diligence, and litigation workflows.

Corporate Transactions

M&A and Transaction Counsel

Access structured ownership records, regulatory filings, enforcement histories, and related-party disclosures for acquisition targets. Build comprehensive legal risk profiles without relying on client-provided data alone.

Securities Law

Securities Litigation and Enforcement

Monitor insider trading disclosures, ownership threshold filings, and regulatory correspondence for the entities and individuals at the center of your matters. Track filing patterns across time to support theory of the case development.

Regulatory Practice

Regulatory and Compliance Counsel

Pull structured data on enforcement actions, regulatory correspondence, and public sanctions records relevant to your client’s regulatory exposure. Support compliance assessments with primary source data rather than secondary reports.

Counterparty Risk

Commercial and Disputes Practices

Research counterparties, guarantors, and related entities in commercial disputes using structured financial disclosures, litigation history indicators, and entity relationship maps derived from public records.

Data Coverage

The public records legal teams need, structured and ready to query

Legal research frequently requires locating and cross-referencing information across multiple public record sources. DataDock normalizes and enriches data from regulatory filings, ownership disclosures, enforcement records, and sanctions lists into a single queryable layer.

Every record carries full data lineage so attorneys and analysts can trace any result back to its source filing, timestamp, and regulatory authority.

Ownership Disclosures

Beneficial ownership filings, threshold crossing disclosures, and schedule-based ownership reports.

Insider Activity

Director, officer, and significant shareholder transaction filings reported to regulators.

Regulatory Filings

Investment adviser registrations, private placement notices, and fund-level regulatory disclosures.

Enforcement Records

Sanctions designations, regulatory enforcement actions, and public watchlist records across jurisdictions.

How It Works

From raw public filing to structured legal intelligence

DataDock processes regulatory and public record sources continuously, extracting and enriching the entity, ownership, and disclosure data that legal teams rely on for research and due diligence.

Continuous Filing Ingestion

DataDock monitors and ingests publicly available regulatory filings as they are published. New ownership disclosures, insider transaction reports, private placement notices, investment adviser registrations, and enforcement records are processed and made available through the API within hours of publication, so your research reflects current information.

Entity Resolution Across Sources

The same individual, company, or fund can appear under multiple name variants, identifiers, and structures across different filing types and regulatory sources. DataDock applies entity resolution to consolidate these into unified records, linking a subject across their full disclosure history rather than returning fragmented results from individual filings.

Relationship and Ownership Graph Construction

Ownership and control relationships disclosed across regulatory filings are mapped into a queryable relationship graph. Legal teams can traverse ownership chains, identify related parties, and surface connections between entities that would otherwise require manual cross-referencing across dozens of individual documents.

Sanctions and Watchlist Cross-Reference

All entities in the DataDock graph are cross-referenced against current global sanctions and watchlist records. Legal teams conducting counterparty due diligence or regulatory risk assessments receive integrated results that combine ownership and disclosure history with current enforcement status in a single query.

Audit-Ready Output with Full Data Lineage

Every result returned by DataDock carries a complete provenance record including source filing, regulatory authority, publication date, and the specific fields extracted. This makes results directly usable in legal memoranda, due diligence reports, and regulatory submissions without requiring additional source verification steps.

Use Cases

How legal teams put DataDock to work

From transaction due diligence to securities monitoring, DataDock supports the full range of legal research and compliance workflows that depend on structured public records.

Target Due Diligence in M&A

Surface ownership structure, related-party disclosures, regulatory filings, and enforcement history for acquisition targets. Supplement client representations with independently sourced public record data.

Insider Trading and Securities Monitoring

Track director, officer, and significant shareholder transaction filings for entities and individuals relevant to an active matter. Identify filing patterns, timing clusters, and ownership threshold crossings that support securities law analysis.

Counterparty Background Research

Research counterparties, guarantors, and related principals in commercial matters using structured financial disclosures, ownership records, and current sanctions status from a single integrated data source.

Regulatory Exposure Assessment

Identify a client's exposure across regulatory filing obligations, outstanding enforcement actions, and sanctions risk. Support regulatory counsel with structured primary source data rather than summarized secondary reports.

Private Markets and Fund Research

Access structured private placement filing data, investment adviser registration records, and fund-level disclosures for matters involving private equity, venture capital, and hedge fund structures.

Litigation Support and Document Review

Supplement traditional document review with structured public record data on the entities and individuals at the center of a dispute. Identify filing discrepancies, omitted disclosures, and material changes in reported information across time periods.

Integration and Access

Fits into your existing legal workflow tools

DataDock is accessible via API for legal technology teams building research tools, document management integrations, or custom due diligence platforms. Data is also available in structured export formats for teams that work primarily within document review or matter management systems.

All data carries complete provenance records, making results directly citable in legal work product without additional source verification overhead.

RESTful API with full OpenAPI documentation and code samples
Structured export formats for integration with matter management systems
Entity search by name, identifier, jurisdiction, and filing type
Relationship graph traversal for ownership and related-party queries
Timestamped, versioned results suitable for legal work product citation
Batch export for large-scale historical research on specific entity sets

Advanced Case Law Research & Structuring

A litigation firm handling commercial disputes needed a faster way to prepare for motion practice and precedent analysis.

By implementing a platform that structured court dockets and filings into searchable insights—tagging entities, motions, and outcomes—they moved from static keyword search to dynamic, context-aware research.

This reduced research time by 50% and helped attorneys craft arguments precisely aligned with prior rulings and judicial tendencies.

Litigation Outcome Forecasting

A class action firm specializing in securities law wanted to better assess case viability before committing to major filings.

Using historical case trends, judge decisions, and jurisdictional data, the firm built a prediction engine to forecast outcomes. These scores influenced whether to lead, join, or avoid high-cost litigations

The data-enabled approach led to a stronger win/loss ratio and higher ROI per case filed.

Due Diligence for M&A and Regulatory Risk

A corporate law team supporting M&A deals needed more clarity on legal exposure tied to acquisition targets.

They integrated open legal records and financial data to uncover undisclosed disputes, repeat litigation history, and enforcement actions. The resulting risk profiles gave deal teams leverage in negotiations.

In one deal, the discovery of a history of wage theft claims enabled the client to reduce their offer by 12%—saving millions in contingent liability.

Empowering Law Schools & Legal Clinics with Case Insight

A university law school running a public legal clinic needed better tools to train students in case law analysis and legal reasoning.

They adopted an open-data research platform that allowed students to explore real-world dockets, decisions, and filings—structured by issue, outcome, and legal argument.

This transformed how clinical teams prepared for hearings, strengthened student learning outcomes, and allowed faculty to build simulation exercises from live precedent. It also enabled low-income clients to receive more thoroughly researched legal assistance.

From courtroom to classroom, open legal and financial data is helping lawyers, students, and researchers work smarter—fueling better insights, better service, and better outcomes.

Put public record data to work for your legal practice.

Talk to the DataDock team about integrating structured regulatory and financial data into your research and due diligence workflows.