Industry Engineering

Legal & LegalTech

Secure document management, massive-scale e-discovery platforms, and AI-powered contract analysis.

Engineer a Solution

Elasticsearch

FastAPI

Python

Llama 2

PostgreSQL pgvector

React

AWS S3

Kafka

Elasticsearch

FastAPI

Python

Llama 2

PostgreSQL pgvector

React

AWS S3

Kafka

Elasticsearch

FastAPI

Python

Llama 2

PostgreSQL pgvector

React

AWS S3

Kafka

Elasticsearch

FastAPI

Python

Llama 2

PostgreSQL pgvector

React

AWS S3

Kafka

Regulatory Standards:

ISO 27001

Attorney-Client Privilege Safe Harbors

SOC 2 Type II

Sector Mission

We build ultra-secure, highly compliant applications for global law firms and corporate legal departments. Our engineering focuses on automating repetitive paralegal processes, building large-scale encrypted document management systems, and integrating LLMs for rapid contract review.

Operational Friction

01 Strict Data Security & Privilege

Client confidentiality requires absolute, unbreakable security, end-to-end encryption, and granular, role-based access controls to prevent unauthorized access.

02 Massive Document Volumes in E-Discovery

Reviewing millions of unstructured documents and emails manually during litigation discovery is overwhelmingly slow and cost-prohibitive.

Bespoke Solutions

01 Secure E-Discovery & Search Platforms

We engineer high-performance, distributed search architectures capable of instantly querying, tagging, and organizing millions of files with sub-second latency.

02 LLM-Powered Contract Analysis

We integrate enterprise-grade AI models to extract key clauses, flag anomalies, and summarize legal obligations from unstructured legal text.

Standards & Frameworks

Architectural patterns we deploy specifically for compliance and performance within this sector.

Legal Data Security & Compliance

Implementing zero-trust architectures and encryption standards required for attorney-client privilege.

AES-256 End-to-End Encryption

ISO 27001

Immutable Audit Logging

Distributed E-Discovery Search

Petabyte-scale search clusters for instantaneous document retrieval.

Elasticsearch / Lucene

BM25 Scoring

Semantic Vector Search

Enterprise Contract Parsing

LLM-driven pipelines for extracting clauses from unstructured PDFs.

OCR Pipelines

RAG Architecture

Private LLM Hosting

Immutable Audit Trails

Cryptographically verifiable logs of all document access and modification.

WORM Storage

Merkle Trees

Digital Signatures

Proven Delivery

Real-World Work

View All Case Studies

Enterprise E-Discovery Search Engine

Developed a distributed search cluster for a Top 50 law firm to process, index, and query over 50TB of litigation emails and documents.

Technical Specs

Elasticsearch ClusterPython (FastAPI)Apache KafkaReactAWS S3 with Object Lock

Business Outcome

"Reduced document retrieval times from minutes to milliseconds, saving hundreds of billable hours per case."

Inquire about this architecture

Industry FAQ

How do you securely handle e-discovery for terabytes of litigation data?

We deploy distributed search clusters (Elasticsearch or OpenSearch) that shard data across multiple nodes. By heavily optimizing our indexing pipelines and utilizing BM25 scoring alongside vector semantic search, we allow legal teams to execute complex boolean queries across 50+ million documents, returning results in under 200 milliseconds. All data is stored in AWS S3 with Object Lock (WORM compliance) to guarantee cryptographic immutability.

Can LLMs safely be used for contract review without breaching attorney-client privilege?

Yes, but they must be completely isolated. We absolutely do not send sensitive legal documents to public APIs like OpenAI's ChatGPT. Instead, we deploy private, open-source LLMs (like Llama 3 or Mistral) directly inside the law firm's Virtual Private Cloud (VPC). The model runs on dedicated GPU instances, ensuring that no client data ever traverses the public internet or is used to train external models.

How do you prevent unauthorized access to sensitive case files?

We implement Zero-Trust Network Architectures and strict Attribute-Based Access Control (ABAC). Access to a document requires not just a valid user role, but specific contextual attributes (e.g., the user is assigned to the case, accessing from a corporate IP, during business hours). Furthermore, every read, write, and export action is cryptographically signed and logged to a tamper-proof audit ledger.

Have a digital product, workflow, or platform you want to improve?

Partner with Cipher Studio to engineer scalable, secure, and intelligent solutions tailored to your business operations.

Start a Project Book a Discovery Call