AI Agent

Agente AI clasificador de documentos jurídicos

Organize thousands of legal documents automatically by type

From manual document sorting to instant AI classification. Organize contracts, pleadings, and agreements in seconds.

Benefits

Find Any Document Instantly

Legal teams waste hours searching through unorganized document repositories. Manual classification by paralegals is slow and inconsistent. Critical documents are lost in folders. This agent classifies everything automatically.

99%

Classification accuracy

20x

Faster organization

Zero

Lost documents

Agentic Flows

Complete Classification Automation

Automated workflow: document intake from email, upload, or scan, content analysis with legal AI, type classification across 100+ categories, metadata extraction and tagging, file organization and routing.

How it works

AI-Powered Document Understanding

The agent reads documents using legal NLP, identifies document type from content and structure automatically, extracts key metadata including parties, dates, and terms, organizes files by category and matter.

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Self-Learning Agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% Accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart Model Switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Extraiga el número de pedido, la información del vendedor, la información de entrega y los detalles de pago de los formularios de pedido cargados.

Completado

ID-0E48

Integrations

Works with Legal Document Systems

Direct integration with iManage, NetDocuments, SharePoint, Relativity, and Everlaw document management systems. Reads from email, DocuSign, Adobe Sign, and contract management platforms.

Implementation

Classifying Documents in 48 Hours

Connect your document management system and define classification taxonomy. Upload historical documents for training. Most firms classify new documents automatically within 2 days.

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent Discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent Setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent Training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent Live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Intelligent Classification

Multi-Type Recognition

Classifies contracts, pleadings, motions, agreements, exhibits, and 100+ document types accurately.

Metadata Extraction

Extracts parties, dates, matter numbers, and key terms. Auto-tags for search and retrieval.

Matter Organization

Routes documents to correct matters and folders. Maintains proper filing structure automatically.

Demo

See Document Classification in Action

Watch the agent process 200 mixed legal documents: identify contracts, pleadings, agreements, extract metadata, tag with relevant information, and file in proper folders.