"The Chains of tormented mankind are made out of red tape." /F.Kafka /

NEURAL NETWORKSby Lawtest

FREEDOM FROM ENDLESS BUREAUCRACY

They will not only prepare an excellent template for any legal document, analyze incoming correspondence and save you from empty correspondence but 24/7/365 will become your personal secretary.

Round 1 Token sale ends
00 Days
00 Hours
00 Minutes
00 Seconds
Tokens total: 1st Round 27.10.18 - 15.11.18
40 000
15 502
38%
fiat EUR
640 955
BTC
0
ETH
0
XRP
0
BCH
0
EOS
0
LTC
0
NEO
0
DASH
0
XEM
0
Pre-Sale
available from 20.10.2018

Attantion!

Pre-sale is available only after personal negotiations.
Pre-sale are available  for utility (round 1) and investment (round 2) tokens.

Round 2 Token sale ends
00 Days
00 Hours
00 Minutes
00 Seconds
Tokens total: 2nd Round 15.01.19 - 15.01.20
22 000
0
0%
fiat EUR
0
fiat USD
0
BTC
0
ETH
0

FILL OUT ANY DOCUMENT WITHIN ONE MINUTE WITH HELP OF ARTIFICIAL INTELLIGENCE FROM Legal Neural Networks

Legal Neural Networks
free consultation
CHOICE IS OBVIOUS
  • standard template
  • You thinking
  • Writing Names
  • Mistakes during fill out
  • Writing your adress
  • Need assistance
  • neural network
  • Not thinking
  • Names filled
  • Automatic fill out
  • All filled
  • Assistance already provided

How it works

Society
The legal
document
?!
Situations
Mobile
application
Informational
resources
FIRST STAGE
Prompter for neural network. Analyses incoming information and prompts the main neural network
SECOND STAGE
Neural networks, trained to generate text, each in its specialty

Our products

Engaging in a complex academic task to train neural networks. Using the latest developments of well-known companies Google, Amazon, Microsoft. We implemented an application for the recognition of information in the image.

Try it and understand how easy to use it and how it will make your life easier.

Just take a picture of the text on the screen of your computer or smartphone and get all the information in a convenient text format. You can edit the received text, copy, paste it into documents or simply send it to another person.

Now business cards and various documents can be stored in a convenient text format only using photography.

You won’t need scanner in your life after using our application.

Our application is designed to solve the problems of not only professional lawyers, but also ordinary citizens. You can download any text in our application and after your instructions, the neural network will create you a professional and individual template for your situation.

You do not have a scanned text? – Not a problem! Take a photo of the document or just take a photo of your laptop/smartphone screen, and we’ll help you to extract all text and figures information from it and compile the final document for you.

While our technical specialists continue to work on training neural networks, we ask you to participate in the development and test our application

Our patents

Prompter

The invention relates to united devices and computer program products. The assistant carries out the function of a preliminary analysis of incoming information submitted to the input of the network-n text, decides whether to allow input information to the network-n or to forbid. And also determines on the basis of the linguistic analysis of the input information, symbols and expressions, which should be used by the network 11 in any case, on the basis of a direct linear dependence.

Competitive update

Any software is written on the principle of using artificial intelligence (neural networks), performing the same task can give different answers. And over time these answers can be very different. In the process of work, the neural network is trained and significantly changes the end result. With the usual software update, a new neural network written in other faster mathematical algorithms or in other more optimized software languages, faster and better usability can handle tasks much worse than the old, trained version of the software product.

Family style

Each user is unique. And if for one user the text or the image generated by the program on the basis of a neural network can look ideal, for another person, it will be absolutely unacceptable.

Presented invention solves this issue by allowing the program to learn in a limited space and developing a specific family style for each particular user.

Video

Save time with everyday correspondence for each user!
Increase the productivity of secretaries and assistants!
Releasing professional lawyers from routine!
Help anyone to make the perfect documents!

This can be done by our neural networks!

2 + 2 - OUR STRATEGY

The global volume of the legal services market is 1 trillion dollars! Starting with the generation of templates, our task is to enter the market of professional lawyers.
We are the first who uses a “flock” of specialized neural networks, not only for clients, but also for lawyers.

New technologies and new algorithms allow us to count on 2% of the market for individual clients and 2% of the market for professional lawyers. In three years we will achieve our goal.
Automatic generation of everyday texts and congratulations to all our subscribers as a gift!

2%
the market for individual clients
2%
the market for professional lawyers
Revenue$ 2.02 billion

Roadmap

2009
Beginning of developments
2016
Neural Networks work started
2017
Conference AI, Kharkiv, Ukraine
December
2017
Experimental training RNN
November
2018
Alpha version of the program
27 October
2018
First round of Token Sales
July
2018
Prototype development
February
2018
Opening of the company. TK for the prototype.
December
2018
The second round of Token Sales
August
2019
Full launch of the program and business
December
2019
The first competition of Lawyers and neural networks
May
2020
The development of business and the beginning of the redemption of tokens

SMART-CONTRACT

			pragma solidity ^0.4.24;
import "./ERC20.sol";
import "./SafeMath.sol";
import "./Ownable.sol";

contract Lawtest is ERC20, Ownable {
    using SafeMath for uint256;

    string name = "Lawtest Token #1";
    string symbol ="LT1";
    uint256 decimals = 0;

    uint256 initialSupply = 40000;
    uint256 saleBeginTime = 1540598400;
    uint256 saleEndTime = 1542326400;
    uint256 tokensDestructTime = 1667088000;
    mapping (address => uint256) private _balances;
    uint256 private _totalSupply;
    uint256 private _amountForSale;

    event Mint(address indexed to, uint256 amount, uint256 amountForSale);
    event TokensDestroyed();

    constructor() {
        _balances[this] = initialSupply;
        _amountForSale = initialSupply;
        _totalSupply = initialSupply;
    }

    /**
		* @dev Total number of tokens in existence
		*/
    function totalSupply() public view returns (uint256) {
        return _totalSupply;
    }

    function amountForSale() public view returns (uint256) {
        return _amountForSale;
    }

    /**
		* @dev Gets the balance of the specified address.
		* @param owner The address to query the balance of.
		* @return An uint256 representing the amount owned by the passed address.
		*/
    function balanceOf(address owner) public view returns (uint256) {
        return _balances[owner];
    }

    /**
		* @dev Transfer token for a specified address
		* @param to The address to transfer to.
		* @param amount The amount to be transferred.
		*/
    function transfer(address to, uint256 amount) external returns (bool) {
        require(block.timestamp < tokensDestructTime);
        _transfer(msg.sender, to, amount);
        emit Transfer(msg.sender, to, amount);
        return true;
    }

    /**
		 * @dev External function that mints an amount of the token and assigns it to
		 * an account. This encapsulates the modification of balances such that the
		 * proper events are emitted.
		 * @param account The account that will receive the created tokens.
		 * @param amount The amount that will be created.
		 */
    function mint(address account, uint256 amount) external onlyOwner {
        require(saleBeginTime < block.timestamp);
        require(saleEndTime > block.timestamp);
        _transfer(this,  account, amount);
        emit Mint(account, amount, _amountForSale);
    }

    /**
        *@dev This sends all the funds to owner's address and destroys the contract.
    **/

    function destructContract() external onlyOwner {
        selfdestruct(owner());
    }

    /**
        * @dev Internal function that transfers an amount of the token
        * from `from` to `to`
        * This encapsulates the modification of balances such that the
        * proper events are emitted.
        * @param from The account tokens are transferred from.
        * @param to The account tokens are transferred to.
        * @param amount The amount that will be created.
    */
    function _transfer(address from, address to, uint256 amount) internal {
        require(amount <= _balances[from]);
        require(to != address(0));
        _balances[from] = _balances[from].sub(amount);
        _balances[to] = _balances[to].add(amount);
        if(saleEndTime > block.timestamp)
            _amountForSale = _balances[this];
    }

    function hasSaleBeginTimeCome() public view returns(bool) {
        return (block.timestamp > saleBeginTime);
    }

    function hasSaleEndTimeCome() public view returns(bool) {
        return (block.timestamp > saleEndTime);
    }

    function hasTokensDestructTimeCome() public view returns(bool) {
        return (block.timestamp > tokensDestructTime);
    }

}
		

Smart contracts provide strict and transparent accounting for the release and sale of tokens.
The first category of smart contracts provides the implementation of utility contracts LT1.
The second category of smart contracts regulates the circulation of LT2 investment tokens.

OUR TEAM

Igor Moseenkov
CEO and Founder , in the e-business since 2000, the first legal exchange company Webmoney in London (Allmoney- 2008)
Yaroslav Behter
Technical Director. Program support of financial services since 2003 (OKWM, UFC)
Ivan Pyshnograiev
PhD in Math, data scientist, development of the mathematical models and methods, including the neural networks.
Serge Shlyk
UI/UX Designer. Art Director and Founder at CreativeTeam.site
Artur Vitrenko
Busines Development Officer – VINCONET LTD

PUBLICATIONS

www.free-press-release.com

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Certificate of the patent

Certificate of the patent

A Controlled Output of the LSTM Network in Some Text Generating Problem

Article was submitted for a review to the Ukrainian Scientific Journal “System research…

TEXT UP your personal scanner in the pocket for Android

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