ChatGPT Plugin

Litera

Search your firm's data

Brand: Litera

Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer

Integration details

Description

Litera's plugin brings your firm's collective knowledge and experience into ChatGPT. Ask questions in plain English and get cited answers drawn from your firm's experience data, without leaving the conversation. - Natural language search: ask questions like "Show me M&A deals for banking clients in Japan" and get results with entity links across matters, clients, people and experience records. - Tabular results: view paged, sortable tables from any search to quickly scan and compare results. - Matter profiles: pull up full matter details by drilling into a specific matter from your search results. - Client profiles: retrieve complete client profiles to understand relationship history and related experience. - People profiles: look up individuals to find their expertise, matter history and firm roles. - Marketing packet profiles: access full experience packets to support pitches, proposals and RFPs. - Conversational refinement: chain any of the above together with follow-up questions to narrow down exactly what you need. All answers include citations and respect firm security permissions, ethical walls, and user entitlements, so professionals only see what they are authorised to access. Litera helps lawyers and business professionals tap into firm knowledge with deterministic accuracy, Raising The Bar™ on a process that would otherwise require navigating multiple systems or relying on institutional memory.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: Enterprise Knowledge Search & AI Context Layer
Secondary Subcategories: None listed
Brand: Litera
Access: Account required
First tracked: 2026-09-19
Tool count: 18
Market: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

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Primary Subcategory

Competing in ChatGPT Enterprise Knowledge Search & AI Context Layer

View Category

Listed in alphabetical order

Primary Subcategory

AgentContextComing soonGet notified

Algolia ProductivityComing soonGet notified

Analytics BrainComing soonGet notified

ArchiveyeComing soonGet notified

AtlanComing soonGet notified

LiteraComing soonGet notified

Tools

18 tools agents can invoke

Compares two versions of a document and produces a redline showing their differences, for requests like "compare these documents", "redline these two contracts" or "what changed between these versions". Supports Word (.docx, .docm, .doc, .dotx, .dotm, .dot), .rtf, .txt and .pdf files; it does not compare spreadsheets or presentations. Always use this tool to compare documents. Never compare files yourself, create your own redline documents or describe the changes yourself. Both inputs are Litera One file handles: upload any document you don't already hold a handle for first. The result includes a link that opens the redline in Litera's viewer in the user's browser, where they can review and download it. Always give the user that link, and don't download the result files unless the user asks. The link works until the comparison expires (see expireAt). Afterwards, if litera__download_document_link is available to you, offer the user the redline as a PDF to download. Only if the user accepts, call litera__download_document_link with the file handle of the result file whose type is Redline and format is Pdf.
compare__compare_documents
Explains why each row on one page of a table matched the search behind it.
explain_table_matches
Explains why each row on one page of a table matched the search behind it.
foundation__explain_table_matches
Look up a client by Client ID (GUID) and return a structured markdown profile (identity, general information, financials, narrative, availability, key people, industries, and custom fields).
foundation__get_client_by_id
Look up a matter by Matter ID (GUID) and return a structured markdown profile (identity, general information, financials, narratives, timekeepers, parties, and related matter details).
foundation__get_matter_by_id
Look up a marketing packet by Packet ID (GUID) and return a structured markdown profile (identity, general information, notes, team, related matters, audit details, and custom fields).
foundation__get_packet_by_id
Look up a person by Person ID (GUID) and return a structured markdown profile (identity, contact information, employment, practice teams, education, bar admissions, and custom fields).
foundation__get_person_by_id
Returns a sorted, paged view of the rows for a given table ID. This tool is used to display the results of a natural language query in a table format.
foundation__get_table
Performs a Lattice natural-language search and streams agent events. Each streamed event _meta field contains tableId for retrieving table attachments. Any returned markdown includes Foundation entity links in [EntityName](url) format. Preserve all markdown links — do not rewrite or strip hyperlinks.
foundation__nl_search
Makes a document stored in Litera One available to the user's workspace. Use it for any file handle you hold when the user should have the document itself. Never recreate a document yourself. Returns the document as an MCP resource link that the client retrieves itself, so it works whatever the document's size. The link's lo:// uri is not a web address: don't open it or show it to the user.
litera__download_document_link
Look up a client by Client ID (GUID) and return a structured markdown profile covering every tab the caller is permitted to see: Information (details, overview, values, key metrics, activity, news), Client Group, Lawyers (including working timekeepers), Matters, Contacts & Companies, Connections, Client Development (advanced field groups and unified records), and Related Content (narratives, content, content library, news/Manzama, and litigation analytics).
get_client_by_id
Look up a matter by Matter ID (GUID) and return a structured markdown profile (identity, general information, financials, narratives, timekeepers, parties, and related matter details).
get_matter_by_id
Look up a marketing packet by Packet ID (GUID) and return a structured markdown profile (identity, general information, notes, team, related matters, audit details, and custom fields).
get_packet_by_id
Look up a person by Person ID (GUID) and return a structured markdown profile (identity, contact information, employment, practice teams, education, bar admissions, and custom fields).
get_person_by_id
Returns a sorted, paged view of the rows for a given table ID. This tool is used to display the results of a natural language query in a table format.
get_table
Lists the Litera tools this user can call. Call it once at the start of every conversation, before calling any other Litera tool. Every user of this connector sees the same Litera tools, but each user can call only the ones they have been given access to, and any other Litera tool is refused. After calling it, call only the Litera tools it returns; if the user asks for something only a missing Litera tool can do, tell them they don't have access. It applies only to this connector's Litera tools, named with a product prefix such as foundation__, compare__ or litera__. It does not limit tools from other connectors or your built-in tools, so keep using those as normal.
litera__list_available_tools
Performs a Lattice natural-language search and streams agent events. Each streamed event _meta field contains tableId for retrieving table attachments. Any returned markdown includes Foundation entity links in [EntityName](url) format. Preserve all markdown links — do not rewrite or strip hyperlinks.
nl_search
Uploads a file the user attached to this conversation to Litera One and returns a file handle (fileId) that other Litera tools take as input. Call it first whenever a tool needs an attached document you don't already hold a handle for, such as a document to compare. The file argument is filled in from the attachment: never construct it or paste file content. If the user hasn't attached a file, ask them to.
litera__upload_chatgpt_file

FAQs

Litera ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Litera's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Litera alternatives on ChatGPT?

As of 2026-10-28, Litera competes with AgentContext, Algolia Productivity, Analytics Brain, Archiveye, Atlan, BitsWeave, BuildBetter.ai, Business Helper and 63 more in ChatGPT Enterprise Knowledge Search & AI Context Layer, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.