LegalBot AI Tools (Preview)
Provides API access to Artificial Intelligence, NLP, Machine Translation and more. Specially designed AI and NLP functions for legal industry
This connector is available in the following products and regions:
| Service | Class | Regions |
|---|---|---|
| Logic Apps | Standard | All Logic Apps regions except the following: - Azure Government regions - Azure China regions - US Department of Defense (DoD) |
| Power Automate | Premium | All Power Automate regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
| Power Apps | Premium | All Power Apps regions except the following: - US Government (GCC) - US Government (GCC High) - China Cloud operated by 21Vianet - US Department of Defense (DoD) |
| Contact | |
|---|---|
| Name | LegalBot.io Support |
| URL | https://legalbot.io/crm |
| support@legalbot.io |
| Connector Metadata | |
|---|---|
| Publisher | LegalBot.io |
| Website | https://legalbot.io |
| Privacy policy | https://legalbot.io/privacy.html |
| Categories | AI;website |
LegalBot AI Tools gives you instant access to AI tools to analyse and review your documents using machine learning and NLP. The following actions are supported:
Document similarity with NLP: Compares how similar two documents are using NLP. You can easily customise your AI model by changing the input parameters.Top Keywords: Extracts and returns the top keywords from a document. You can easily customise your AI model by changing the input parameters.Translate document: uses machine translation to translate a document from the source language to the target language.Translate text: uses machine translation to translate text from the source language to the target language.
Prerequisites
To use this connector you must have an API Subscription Key.
How to get credentials?
You can sign up for an account and a purchase a subscription or a credits package from this page LegalBot.io/ai-tools/. You will be given an API Subscription Key once sign up and purchase is completed.
Known issues and limitations
- Before sending documents the file content must be converted to Base64 string format. This can be done using the base64() expression
- Files can be in HTML, PDF, .docx, .doc, .odt, .rtf, .xlsx, .xls, .csv or .txt format
- The language combinations available for machine translation are set out here.
- There is a 50,000,000 character limit for translate text
- Text in content controls and fields in MS Word documents are not translated. We recommend removing these before sending for translation, see this link for instructions.
- It is not possible to process documents / files which have security enabled (passwords or Azure Security).
Creating a connection
The connector supports the following authentication types:
| Default | Parameters for creating connection. | All regions | Not shareable |
Default
Applicable: All regions
Parameters for creating connection.
This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.
| Name | Type | Description | Required |
|---|---|---|---|
| API Key | securestring | The API Key for this api | True |
Throttling Limits
| Name | Calls | Renewal Period |
|---|---|---|
| API calls per connection | 100 | 60 seconds |
Actions
| Document Similarity NLP |
Calculates the similarity of two documents using Natural Language Processing |
| Top Keywords |
Extracts and returns the top N keywords from a document. |
| Translate Documents |
Translates file content from source language to target language. |
| Translate Text |
Translates text from target language to source language |
Document Similarity NLP
Calculates the similarity of two documents using Natural Language Processing
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
Clean text
|
clean | True | boolean |
If set to true the text to be analyzed will be cleaned from punctuation, excessive white space and turned into lower case according to LegalBot.io model |
|
Use stop words
|
use_stopwords | True | boolean |
If set to true the text will be processed to remove words which do not contain important significance |
|
Stop word model
|
stop_word_model | True | string |
The LegalBot.io custom stop word model to use when processing the document. |
|
Custom stop words
|
user_defined_stopwords | string |
User specific stop words to remove from the string. Each word separated by comma. |
|
|
Lemmatize string
|
lemmatize | True | boolean |
If set to true each word will be processed to change the word to its root word or lemma e.g. runs, running, ran = run |
|
Stem string
|
stemming | True | boolean |
If set to true each word will be processed to the word to its stem word e.g. intelligent = intellig |
|
Exclude short words
|
exclude_words_shorter_than | integer |
Excludes words from analysis if their string length is shorter than number specified |
|
|
File Content 1
|
fileContent | True | string |
File content of the first document. File can be in HTML, PDF, .docx, .doc, .odt, .rtf or .txt format. File must be converted to Base64 string format. |
|
File name 1
|
name | True | string |
The name of the first file |
|
File Content 2
|
fileContent | True | string |
File content of the second document. File can be in HTML, PDF, .docx, .doc, .odt, .rtf or .txt format. File must be converted to Base64 string format. |
|
File Name 2
|
name | True | string |
The name of the second file |
Returns
Top Keywords
Extracts and returns the top N keywords from a document.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
Clean text
|
clean | True | boolean |
If set to true the text to be analyzed will be cleaned from punctuation, excessive white space and turned into lower case according to LegalBot.io model |
|
Use stop words
|
use_stopwords | True | boolean |
If set to true the text will be processed to remove words which do not contain important significance |
|
Stop word model
|
stop_word_model | True | string |
The LegalBot.io custom stop word model to use when processing the document. |
|
Custom stop words
|
user_defined_stopwords | string |
User specific stop words to remove from the string. Each word separated by comma. |
|
|
Number of keywords
|
num_keywords | True | integer |
The number of keywords to return |
|
Keyword model
|
key_word_model | True | string |
The NLP keyword extraction model to use. "word" or "noun" keywords |
|
Exclude short words
|
exclude_words_shorter_than | integer |
Excludes words from analysis if their string length is shorter than number specified |
|
|
File content
|
fileContent | True | string |
File content of the first document. File can be in HTML, PDF, .docx, .doc, .odt, .rtf or .txt format. File must be converted to Base64 string format. |
|
File name
|
name | True | string |
The name of the file |
Returns
- Body
- Receive NLP keywords
Translate Documents
Translates file content from source language to target language.
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
Source language
|
source_language | True | string |
The source language of the document. Language codes follow ISO 639-1 Code two letter format other than Chinese simplified: zh-Hans and Chinese traditional: zh-Hant. Source language may be in Auto. It is also possible to write the English version of the name e.g. English, German, French, Russian. It is possible to specify Auto as a value. |
|
Target language
|
target_language | True | string |
The target language you want the document translated into. Language codes follow ISO 639-1 Code two letter format other than Chinese simplified: zh-Hans and Chinese traditional: zh-Hant. Source language may be in Auto. It is also possible to write the English version of the name e.g. English, German, French, Russian. |
|
File content
|
fileContent | True | string |
The file content of the document in Base64 string format. The file can be in HTML, PDF, .docx, .doc, .odt, .rtf, .txt, .pptx, .ppt, .xlsx format. |
|
File name
|
name | True | string |
The name of the file with extension |
Returns
Translate Text
Translates text from target language to source language
Parameters
| Name | Key | Required | Type | Description |
|---|---|---|---|---|
|
Target language
|
target_language | True | string |
The target language to translate the text into. Language codes follow ISO 639-1 Code two letter format other than Chinese simplified: zh-Hans and Chinese traditional: zh-Hant. Source language may be in Auto. It is also possible to write the English version of the name e.g. English, German, French, Russian |
|
Source language
|
source_language | True | string |
The source language of the text. Language codes follow ISO 639-1 Code two letter format other than Chinese simplified: zh-Hans and Chinese traditional: zh-Hant. Source language may be in Auto. It is also possible to write the English version of the name e.g. English, German, French, Russian. It is possible to specify Auto as a value. |
|
Text to translate
|
text_to_translate | True | string |
This is the text you want translated |
Returns
Definitions
Receive document translation request
| Name | Path | Type | Description |
|---|---|---|---|
|
message
|
message | string | |
|
document_link
|
document_link | string | |
|
transactionID
|
transactionID | string | |
|
fileName
|
fileName | string | |
|
credits_used
|
credits_used | integer | |
|
credits_remaining
|
credits_remaining | integer | |
|
insufficient_credits
|
insufficient_credits | boolean |
Receive NLP keywords
| Name | Path | Type | Description |
|---|---|---|---|
|
message
|
message | string | |
|
top_keywords
|
top_keywords | array of string | |
|
transactionID
|
transactionID | string | |
|
credits_used
|
credits_used | integer | |
|
credits_remaining
|
credits_remaining | integer | |
|
insufficient_credits
|
insufficient_credits | boolean |
Receive translated text
| Name | Path | Type | Description |
|---|---|---|---|
|
message
|
message | string | |
|
transactionID
|
transactionID | string | |
|
TranslatedText
|
TranslatedText | string | |
|
credits_used
|
credits_used | integer | |
|
credits_remaining
|
credits_remaining | integer | |
|
insufficient_credits
|
insufficient_credits | boolean |
Receive NLP document similarity
| Name | Path | Type | Description |
|---|---|---|---|
|
message
|
message | string | |
|
similarity
|
similarity | number | |
|
transactionID
|
transactionID | string | |
|
text_analysed
|
text_analysed | string | |
|
credits_used
|
credits_used | integer | |
|
credits_remaining
|
credits_remaining | integer | |
|
insufficient_credit
|
insufficient_credit | boolean |