Discuss your project →
Cyberbeak
Cyberbeak
Back to Case Studies

AI Legal Research & Drafting Assistant

How Cyberbeak built an AI-native platform for legal research, brief drafting and document management for law firms.

Industry
Legal Technology, Enterprise SaaS Platforms
Location
United States
AI Legal Research & Drafting Assistant

The Challenge

Law firms and solo attorneys spent significant time on manual research: combing through case law databases, reading statutes and cross-referencing precedents. Drafting was just as time-intensive, with briefs, contracts, demand letters and memoranda recreated from scratch for each client. Generic AI tools lacked the legal reasoning accuracy and jurisdiction awareness needed for professional use.

Our Solution

Cyberbeak built a specialised AI legal research and drafting platform powered by GPT-4 and LangChain. Attorneys ask complex legal questions in plain English and receive sourced, jurisdiction-specific answers with cited case law retrieved through Elasticsearch from a curated legal database. The drafting studio supports briefs, contracts, demand letters and memoranda in a rich text editor with inline AI suggestions, and role-based access control with matter-level data isolation protects client confidentiality.

The Results

Attorneys can research and draft within one platform, with sourced answers they can verify and editable drafts they can finalise. We do not publish client-specific figures for this project.

Stack & Expertise

Next.jsPython / DjangoOpenAI GPT-4LangChainElasticsearchPostgreSQLAWS

Frequently Asked Questions

How does the AI legal research engine find and cite case law?
Attorneys ask questions in plain English. The LangChain and GPT-4 engine searches a curated legal database through Elasticsearch and returns jurisdiction-specific answers with cited case law and source links so the results can be verified.
What types of legal documents can the AI drafting studio produce?
Briefs, demand letters, contracts, non-disclosure agreements, legal memoranda and client advisory letters, each in an editable rich-text editor with inline AI suggestions so attorneys can refine drafts before sending.
How does the platform handle client confidentiality?
It uses role-based access control and matter-level data isolation so each attorney only sees their own client matters. Details of data handling are scoped with each client during the build.
Why not use a generic AI tool for legal work?
Generic AI tools often lack jurisdiction awareness and sourced citations. This platform retrieves answers from a curated legal database and shows its sources so attorneys can check them.
Can Cyberbeak build a custom AI assistant for a law firm or legal SaaS company?
Yes. Cyberbeak builds AI research and drafting tools using GPT-4, LangChain, Elasticsearch and Python/Django, with jurisdiction-aware responses, matter isolation and strict confidentiality requirements.