Artificial Intelligence · Legal Technology

AI-Powered Legal
Document Intelligence

Building LLM systems that process legal PDFs and contracts — extracting clauses, evaluating risk, and accelerating contract review through a hybrid architecture that supports leading cloud models alongside privacy-preserving local models, purpose-built for attorneys and legal operations teams.

Request a Consultation How It Works
  • Hybrid cloud + on-prem
  • Attorney-in-the-loop
  • SOC-ready deployments

Capabilities

Review contracts with precision, at machine speed.

The system reads structured and unstructured agreements — MSAs, NDAs, employment contracts, leases, financing documents — and returns a structured brief a reviewer can act on.

01

Clause & Section Extraction

Identify and extract governing-law, indemnification, limitation of liability, termination, assignment, confidentiality, and 40+ named clause types across arbitrary contract layouts.

02

Risk Detection & Scoring

Every extracted clause is scored against a configurable playbook. Flag non-standard language, missing protections, and obligations that fall outside your firm's approved templates.

03

Hybrid Model Architecture

Frontier reasoning via the Anthropic API for complex analysis, paired with local open-weights models for bulk classification and sensitive documents. You choose what leaves the building.

04

Audit-Ready Output

Citations to source page and paragraph, confidence scores, and full chain-of-reasoning for every finding — so counsel can verify, override, and sign off with confidence.

By the Numbers

Built to handle real workloads.

0+

Named clause types extracted

0%

Extraction precision on benchmark MSAs

0%

Reduction in first-pass review time

0%

Local-inference option for sensitive docs

Workflow

From PDF to signed brief in one pass.

  1. Ingest

    Contracts enter via upload, email, or API. OCR, layout detection, and structural parsing convert PDFs and scans into reviewable text.

  2. Chunk & Embed

    Semantic chunking preserves clause boundaries. Each segment is embedded and indexed in a vector store with full provenance.

  3. Retrieve & Reason

    Retrieval-augmented generation surfaces the relevant passages; the reasoning model applies your playbook and flags deviations.

  4. Deliver

    Results render as a structured report, redline export, or API response — citations, confidence scores, and review queues included.

Ready to see this on your own contracts?

Bring a redacted MSA, NDA, or lease and I'll run a working demonstration against your playbook within a week.

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